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CN103647307A - Charge controller and navigation device for plug-in vehicle - Google Patents

Charge controller and navigation device for plug-in vehicle Download PDF

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Publication number
CN103647307A
CN103647307A CN201310534351.6A CN201310534351A CN103647307A CN 103647307 A CN103647307 A CN 103647307A CN 201310534351 A CN201310534351 A CN 201310534351A CN 103647307 A CN103647307 A CN 103647307A
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China
Prior art keywords
electric power
power consumption
charging
information
time
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Granted
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CN201310534351.6A
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Chinese (zh)
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CN103647307B (en
Inventor
祖父江荣二
菅原嘉彦
河内山聪
野村大辅
井岛亮一
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Denso Corp
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Denso Corp
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Priority claimed from CN201110039423.0A external-priority patent/CN102163853B/en
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles

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  • Electric Propulsion And Braking For Vehicles (AREA)
  • Navigation (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Secondary Cells (AREA)

Abstract

A configuration system uses process plant items that may represent, or be capable of representing, entities in a process plant to assist in configuring, organizing, and changing the control and display activities within the process plant. Access to the items may be controlled by associating access control data with the items. The configuration system may also use objects that represent, or may be capable of representing, one or more steps to be performed by entities in the process plant. Access to these objects may be controlled by associating access control data with the objects. The access control data may indicate whether users or certain users may be able to, for example, view or modify all or some data associated with the process plant items or the objects. The process plant items may comprise, for example, module class objects which may be capable of generically representing process entities of the process plant, module objects which may be capable of specifically representing process entities of the process plant, composite templates, module templates, etc. The objects that represent, or may be capable of representing, one or more steps to be performed by entities in the process plant may comprise, for example, phase classes or unit phases.

Description

Charge controller and navigator for plug-in vehicles
The application is to be on February 15th, 2011 applying date, and name is called " for charge controller and the navigator of plug-in vehicles ", the dividing an application of the application for a patent for invention that application number is 201110039423.0.
Technical field
The present invention relates to a kind of charge controller for plug-in vehicles and navigator, described plug-in vehicles can charge from electric power source or other electric power source of solar photovoltaic generating.
Background technology
JP-A-2009-148121 instruction is by utilizing a plurality of power sources of arranging by ascending order according to kiowatt price to carry out the charging that is arranged on the battery on plug-in vehicles.In addition take charging interval of weather forecast solar photovoltaic generating of the most cheap kiowatt price as basis adjustment has.
In the said equipment, owing to farthest utilizing the solar photovoltaic generating with the most cheap kiowatt price to come battery to charge.Thereby, reduced charging cost.
Yet, although the information of weather forecast and solar photovoltaic generating of take is basis and carries out the optimal charge plan for ensuing driving time, the charge volume that is used in ensuing driving is very little, also may in the time period the time period, from business power source, carry out charging except solar photovoltaic generating.In this case, charging cost is not cheap.
In addition, in these cases, until before next driving time, battery is charged with low cost to greatest extent.Thereby, even be filled with, be useful on the essential electrical power of driving in the next time in battery, also may carry out overcharge to battery.
Summary of the invention
Consider the problems referred to above, object of the present disclosure is to provide a kind of charge controller for plug-in vehicles and navigator, and described plug-in vehicles can charge from electric power source and other electric power source of solar photovoltaic generating.Farthest utilize the electric power source of solar photovoltaic generating to charge with the battery to plug-in vehicles, and do not carry out unnecessary charging.
According to first aspect of the present disclosure, the charge controller that a kind of a plurality of electric power sources that comprise solar energy photovoltic power system for utilizing charge to the battery of plug-in vehicles, described controller comprises: drive route is estimated element, for take the information of user's input, estimates next optimum drive route as basis; The electric power consumption amount calculator of estimating, for calculating the electric power consumption amount of the essential estimation of described next optimum drive route of travelling; Weather information obtains element, for obtaining until the Weather information before next driving time; Sunshine information acquisition element, for obtaining until described next driving time before information at sunshine; Solar photovoltaic generating amount of electrical power calculator, for take described Weather information and described sunshine information as basis, calculate until the solar photovoltaic generating amount of electrical power before next driving time; Electrical power wantage calculator, for calculating electrical power wantage when described solar photovoltaic generating amount of electrical power is less than the electric power consumption amount of described estimation; Element is prepared in charging scheduling (schedule), for preparing representative for the first charging interval of utilizing described solar energy photovoltic power system described battery being charged and for utilizing another electric power source described battery to be filled with to the charging scheduling in the second charging interval of described electrical power wantage; And charging control element, for controlling according to described charging scheduling, described battery to be charged.
In above-mentioned controller, before next driving time, farthest from described solar energy photovoltic power system, described battery is charged.Thereby, reduced charging cost.Even weather be not fine and therefore described solar photovoltaic generating amount of electrical power than the electric power consumption amount hour of described estimation, from another electric power source, described battery is charged.Thereby described battery is fully charged drives chance for the next one.
According to second aspect of the present disclosure, a kind of navigator for vehicle comprises: according to the charge controller of disclosure first aspect.In this case, described navigator is easily carried out to utilize and is comprised that a plurality of electric power sources of described solar energy photovoltic power system charge to the battery of described plug-in vehicles.
Accompanying drawing explanation
Above and other objects of the present invention, feature and advantage become more apparent by the detailed description by carrying out below with reference to accompanying drawing.In the accompanying drawings:
Fig. 1 shows according to the block diagram of the whole system of the charge controller in the plug-in vehicles of the first embodiment;
Fig. 2 shows the flow chart of the charging process of being carried out by apparatus for vehicle navigation;
Fig. 3 shows the flow chart of the computing of the essential amount of electrical power for second day of being carried out by navigator;
Fig. 4 shows the flow chart of the plan processing of the charging scheduling of being carried out by navigator;
Fig. 5 shows the figure of the example of charging scheduling;
Fig. 6 shows according to the figure of the data structure of the scheduler of the second embodiment (scheduler);
Fig. 7 A and Fig. 7 B show the figure of the image on display;
Fig. 8 shows the flow chart of the part that the plan of the charging scheduling of being carried out by navigator according to the 3rd embodiment processes;
Fig. 9 shows according to the block diagram of the whole system of the charge controller in the plug-in vehicles of the 4th embodiment; And
Figure 10 shows the flow chart that the correction of the operation plan that charges in navigator is processed.
Embodiment
(the first embodiment)
With reference to Fig. 1, to Fig. 5, explain the first embodiment.
Fig. 1 shows the charge controller 2 being arranged on plug-in vehicles 1.Charge controller 2 provides power consumption calculation device, solar photovoltaic generating amount calculator, power wantage calculator, charging operation plan element, charging control element, travel frequently (commute) indicating device and the memory of expection.Vehicle 1 also comprises electric power source selector 3, battery 4 and apparatus for vehicle navigation 5.Battery via 3 pairs of electric power source selectors such as excide battery, Ni-MH battery and lithium battery charges.Apparatus for vehicle navigation 5 is controlled electric power source selector 3.The battery 4 of plug-in vehicles can charge from being arranged on the electric power source of vehicle outside.Plug-in vehicles be only have motor as the plug-in type electromagnetic motor-car in driving power source or there is internal combustion engine and motor as the plug-in hybrid vehicle in driving power source.In the present embodiment, plug-in vehicles is plug-in hybrid vehicle.In Fig. 1, the primary functional elements such as GPS receiver and route guide element is not shown.Navigator 5 comprises that charge controller 2, route calculation estimation element 6, weather forecast obtain element 7 and sun set/raise time data acquisition element 8.Route calculation estimates that element 6 is corresponding with drive route estimation unit, and it is corresponding with Weather information acquisition unit that weather forecast obtains element 7, and sun set/raise time data acquisition element 8 is corresponding with information acquisition at sunshine unit.
Electric power source selector 3 and a plurality of charging terminal 9 couplings.Each terminal 9 is coupled with electric power source A-C separately via electrical power circuit.In this case, each charging terminal 9 is via the corresponding terminal coupling of corresponding electrical power circuit and electric power source A-C.Thereby terminal 9 is not coupled with the not corresponding terminal of electric power source A-C.Electric power source A-C can be the commercial electrical power source being provided by electric power utilities, the electric power source being provided by solar photovoltaic generating, the electrical power being provided by wind power generation or the electric power source that provided by the indoor power generating equipment of using gas or fuel cell.In this embodiment, commercial electrical power source and the electric power source being provided by solar photovoltaic generating are provided electric power source A-C.Solar energy photovoltic power system is arranged on the roof in house or garage.When solar energy photovoltic power system generates electric power, this solar energy photovoltic power system is supplied to electrical power the equipment in house.At solar energy photovoltic power system, when the terminal in house is switched to a plurality of charging terminals 9, and compare to house power supply, this solar energy photovoltic power system is paid the utmost attention to vehicle is charged.After completing the charging of vehicle, the terminal that be switched to house of solar energy photovoltic power system from a plurality of charging terminals 9.
Electric power source selector 3 comprises the electric power transducer with transformer.By transformer, a selected electrical power providing from a plurality of charging terminals 9 being converted to will be to certain electrical power of battery 4 chargings.In addition, electric power source selector 3 comprises for detection of the voltage sensor of voltage and for detection of at electric power transducer be connected to the current sensor of the electric current of the supply path between the lead-out terminal of battery 4.Charge controller 2 be take the amount of electrical power that the electric current that detected and voltage will be charged to battery 4 and will discharge into drive motors (not shown) as basic calculation.Thereby charge controller 2 detects and is filled with the current charged electrical quantity of power in battery 4.In this case, in battery 4, charged electrical quantity of power shows the amount of electrical power that will consume while only using first battery 4 operation after a plug-in hybrid vehicle in the end charging.
Owing to using the gain-of-function in navigator 5 to be used to form the information of carrying out the charging scheduling that the charging of battery 4 is controlled, therefore charge controller 2 is arranged in navigator 5.In the present embodiment, by the processor of navigator 5, carry out the function in charge controller 2.By the processor of navigator 5, carry out by route calculation and estimate that element 6, weather forecast obtain the function that element 7, sun set/raise time data acquisition element 8 etc. are carried out.
Route calculation estimates that element 6 arranges the best route from the current location of vehicle to destination when being provided with destination.In addition, route calculation estimates that element 6 calculates advance back and forth between current location and the destination electric power consumption of needed estimation of batteries 4.
Weather forecast obtains element 7 weather forecast that uses digital radio electric wave to provide from the external information center such as radio broadcasting station or data service center is provided.Weather forecast is widely used as broadband connections.Weather forecast obtains the weather forecast of next day of the definite estimated date as next driving plan of element 7.
8 storages of sun set/raise time data acquisition element corresponding with longitude and latitude at sunrise between and sunset time.Sun set/raise time data acquisition element 8 provide about the longitude shown in the gps data with being obtained by navigator 5 and latitude corresponding at sunrise between and the information of sunset time.Because sun set/raise time data are normal datas corresponding with longitude and latitude, therefore preferably consider by the current location and the light shield effect at the sunshine that the barrier between the sun produces that are arranged on vehicle.Barrier is arranged on day outgoing direction and the sunsetting of watching from vehicle.For example, when vehicle set is in high mountain region, preferably consideration is positioned at the light shield effect of the high mountain of vehicle periphery.When vehicle set is in urban area, preferably consideration is positioned at the light shield effect of the building of vehicle periphery.In addition, even in solar energy photovoltic power system is arranged on to same area time, owing to irradiating the irradiation time section of the illumination of solar energy photovoltic power system and may depend on the setting position of solar energy photovoltic power system.Thereby can be inputted by user the irradiation time section of solar energy photovoltic power system.
In user indication, battery 4 is charged to prepare once whilst on tour, user under a plurality of charging terminals 9 of plug-in vehicles 1 are connected to from the condition of the electrical power circuit of solar energy photovoltic power system and business power source navigation device 5 inputs about on the information of travelling once.Navigator 5 be take time started and the destination scheduling of charging as basis of input, and then navigator 5 starts battery 4 to charge.
Fig. 2 shows the flow chart that represents the charging process carried out by navigator 5.Navigator 5 checks the residual capacity of battery in charge controller 2 in steps A 1.Next, in steps A 2, charge controller 2 calculate on next day or next time on the essential amount of electrical power of once driving.
Fig. 3 shows the flow chart of the calculating of the essential amount of electrical power for drive next time.In step B1, charge controller 2 determines whether user is provided with the route such as the time of advent of destination and estimation.Charge controller 2 determine user in navigator 5, be provided with on once drive route time, step B1 be judged as "Yes" time, the best route that navigator 5 is calculated from current location to destination.In addition, navigator 5 be take distance between current location and destination and be the basic calculation required essential amount of electrical power Y that advances back and forth between current location and destination about the data of fuel consumption and/or electric power consumption amount.In this case, the best route from current location to destination be vehicle once travelled route time, by safety factor and actual electric power consumption at that time being multiplied each other obtain the electric power consumption amount of the estimation of the best route between current location and destination.Although on the best route once driven be vehicle once along it, from current location to destination, travelled route time, the past data that the actual electric power of this route is consumed is as the electric power consumption amount of estimating, but when vehicle does not also travel along this best route in the past or when vehicle partly travels along this best route in the past, navigator 5 is calculated the electric power consumption amount of the estimation for drive next time.Specifically, navigator 5 when vehicle travels along a part for best route in the past by utilizing the past data of actual electric power consumption of a part for this best route to calculate the electric power consumption amount of estimation.When vehicle does not travel along the other parts of this best route or whole best route in the past, navigation system 5 is by utilizing the data of sideways inclined angle in map datum and the existence of traffic lights etc. to calculate the electric power consumption amount of estimation.Here, sideways inclined angle is the angle of inclination of upward slope or the descending of road.Specifically, at best route, comprise while going up a slope, navigator 5 is by from vehicle, the electric power consumption amount when flat road travels increases and calculates the electric power consumption amount of estimation according to the amount of electrical power of the distance estimations of sideways inclined angle and upward slope.When optimum line comprises descending, navigator 5 is calculated the electric power consumption amount of estimation by the electric power consumption amount of estimation being reduced to the amount of electrical power of regeneration.When optimum line comprises many traffic lights, electric power consumption amount is because the quantity stopping increases greatly.Thereby navigator 5 is calculated the electric power consumption amount of estimation by increasing according to the quantity of traffic lights the electric power consumption amount of estimating.In addition, navigator 5 by consider speed restriction in this route, the quantity of runway, the distance of straight line road, prediction next drive day or during the traffic congestion of next driving time etc. the distance of traffic congestion calculate the electric power consumption amount of estimation.In addition, at best route, comprise tunnel, or next driving time is while comprising the time at night after the sunset, need to turn on lamp, and the electric power consumption amount of therefore estimating increases.
Then, navigator 5 be take route calculation result and as basis, is calculated the time of advent of estimation and required driving time.Navigator 5 be take time of advent of estimating and required driving time and is estimated the time started as basis.For example, be points in the mornings 9 time of advent of estimation, and required driving time is one hour, and be 50KW for arriving the essential amount of electrical power of the round trip of destination.Here, can be when object is located in for battery 4 charging, user arranges one way route in navigation system 5, and in this case, essential amount of electrical power is half of round trip.
When user uses vehicle 1 conduct to travel frequently vehicle, destination is identical, and best route is identical.Thereby, easily estimate essential electric power consumption amount.For the electric weight of laying in vehicle 1 is for the work of travelling frequently or the essential and sufficient amount of electrical power of going to school, navigator 5 can comprise the charge switch for the (not shown) of travelling frequently on the screen of display.Thereby, by only pressing a button, i.e. the charge switch for travelling frequently, it is to travel frequently that chance is driven in the easy setting of user next time.Therefore,, in step B3, navigator 5 determines whether user has opened the charge switch for travelling frequently.When navigator 5 determines that user has opened the charge switch for travelling frequently, step B3 be judged as "Yes" time, the past data of some day, weather forecast and actual electric power consumption that navigator 5 be take a week in step B4 calculates essential amount of electrical power as basis.In this case, at Commuting Distance relatively in short-term, and therefore only just can adequate preparation must amount of electrical power time by solar energy photovoltic power system, charge controller 2 can control from sunrise to time started, only to use solar energy photovoltic power system to charge to battery 4.In this case, charging cost is minimum.
Near the destination of input is positioned at current location relatively, and/or the time started of scheduling is relatively late, while only making by just can the adequate preparation essential amount of electrical power of solar energy photovoltic power system, because charge controller 2 can control only use solar energy photovoltic power system to charge to battery 4 from sunrise to the time started of scheduling, so charging cost is minimum.Even only by solar energy photovoltic power system during with regard to the essential amount of electrical power of adequate preparation, preferably, by day during,, during sunshine hour, farthest use solar energy photovoltic power system to charge to battery.
When user does not arrange route, step B1 be judged as "No" time, and user does not open the charge switch for travelling frequently, step B3 be judged as "No", navigator 5 be take calendar and as basis, is come estimating user whether to use the vehicle for travelling frequently.Specifically, when next day is working day, navigator 5 hypothesis users use the vehicle for travelling frequently at next driving time.When next day is day off or holiday, because user can not use vehicle, be not used for travelling frequently, so charge controller 2 controls that battery 4 is fully charged.
Next, in the steps A 3 of Fig. 2, navigator 5 is prepared charging operation plan.
Fig. 4 is the flow chart that the preparation of charging operation plan is processed.Navigator 5 determines in step C1 whether user arranges the time started of scheduling.When navigator 5 determines that user is provided with the time started of scheduling, step C1 be judged as "Yes" time, equipment 5 obtains the weather forecast of next day or next time from information centre, and in step C6, determines whether this weather forecast represents fine weather.When weather forecast represents fine weather, step C6 be judged as "Yes" time, the table data that navigator 5 be take in the equipment of being stored in 5 generate for example electric power of 10KW/h as basis hypothesis solar energy photovoltic power system.Even if this average electric power that generates also depends on date and time section when weather is fine.Specifically, in the charging interval, approach sunrise or at sunset, on average generate electric power little, and the charging interval at noon near time, on average generate electric power maximum.Thereby table data comprise according to the detailed data of the average generation power of data and time period.
Equipment 5 be take calendar as the basis acquisition date of next day.In addition, equipment 5 with the sunrise in the equipment of being stored in 5 and sunset time table data acquisition next day at sunrise between and sunset time.Sunrise and sunset time table data show position (being longitude and latitude) in the country at Japan or vehicle place and the relation between sunrise and sunset time in this date.For example, between at sunrise, be points in the mornings 6, and time started of scheduling while being 8 a.m., before leaving, the power generation time of solar energy photovoltic power system is two hours from 6 in the morning to 8 a.m..Thereby by being multiplied by the charge volume that 10KW/h calculates electric power by two hours, thereby the charge volume of electric power is 20KW(=10KW/h * 2h).Therefore, because the essential amount of electrical power of the round trip to destination is 50KW, therefore need to be during night, before sunrise, to battery charging 30KW(=50KW-20KW).
When business power source is battery charging 20KW/h, need to use before sunrise this business power source for 1.5 hours (=30kW/20KW/h) of battery 4 chargings.In this case, due to business power source in the time period at night than the kiowatt low price in time period by day, the charging cost of business power source is in the time at night, specifically at midnight, more cheap than time by day.Thereby equipment 5 determines that whether the time period at night of business power source is wider than one and a half hours.When wider than 1.5 hours in time period at night of business power source, equipment 5 is prepared charging operation plan so that use time at the night electric power from business power source to charge to battery 4 in step C7.Using the required charging interval of business power source when the night of business power source, the time period was large, when narrow than 1.5 hours in time period at night of business power source, equipment 5 is prepared charging operation plans so that use from time at the night electric power of business power source and use the normal electricity (being time on daytime electric power) from this business power source to be filled with the difference between required charging and the charging of time at night electric power in remaining time in section in the time period at night.
At equipment 5, determine in step C6 while determining that weather forecast does not represent fine weather, step C6 be judged as "No" time, solar energy photovoltic power system can fully not charge to battery 4.Thereby equipment 5 is prepared charging operation plan so that use time at the night electric power from business power source to charge to battery 4 in step C8.In this case, using the required charging interval of business power source when the night of this business power source, the time period was large, equipment 5 is prepared charging operation plans so that use from time at the night electric power of business power source and the difference that is filled with between required charging and the charging of time at night electric power from the normal electricity (being time on daytime electric power) of business power source in section use remaining time battery 4 is charged in the described time period at night.
Equipment 5 determines in step C2 whether user has pressed the charge button of travelling frequently, and equipment 5 determines whether user has opened the charge switch for travelling frequently.In addition, equipment 5 step C2 be judged as "No" time in step C4, determine whether next day is working day.User, opened while travelling frequently charge button, step C2 be judged as "Yes" time, or when next day is day off, step C4 be judged as "Yes" time, proceed to step C3.In step C3, equipment 5 provides the commuting time of every day.Then, proceed to step C6.In step C7 and C8, equipment 5 be take weather forecast as basis preparation charging operation plan.When next day is not working day, when next day is holiday or day off, step C4 be judged as "No" time, proceed to step C5.In step C5, equipment 5 be take the driving history of holiday and is that basis estimates the time started of driving.Then, proceed to step C6.In step C7 and C8, equipment 5 be take weather forecast as basis preparation charging operation plan.
When the weather forecast of next day represents cloudy or rainy day, solar energy photovoltic power system does not charge to battery 4 substantially.In this case, the charging from solar energy photovoltic power system is substantially zero.Then, equipment 5 is prepared charging operation plan so that farthest use time at the night electric power from business power source to charge to battery 4.Equipment 5 supposition users, operate rain brush at rainy day or cloudy weather in the situation that and/or turn on the lamp of vehicle and/or during operating air conditioning system, need to prepare charging operation plan to increase the electric power consumption amount of estimating.
Thereby, take this charging operation plan as basis, farthest utilize solar energy photovoltic power system to charge to battery 4, when the charge volume from solar energy photovoltic power system is not enough, business power source is used the deficiency of time at night supply of electric power charge volume, and in addition, at the charge volume from solar energy photovoltic power system with when enough from the charge volume of use time at the night electric power of business power source, use electric power normal time (being time on daytime electric power) from business power source, battery 4 to be charged.
Fig. 5 shows the example of charging operation plan.
In Fig. 5, from morning, 1:00 charges to battery 4 from business power source to 2:30 use in morning time at night electric power.From the morning 6:00 to the morning 8:00 utilize solar energy photovoltic power system to charge to battery 4.From the morning 8:00 to the morning 9:00 Vehicle Driving Cycle to destination.
Equipment 5 switches electric power source selector 3 so that switch the electric power source for battery 4 is charged between solar energy photovoltic power system and business power source.
Actual charged electrical quantity of power in this time period very hour, in this time period, solar energy photovoltic power system charges to battery 4, equipment 5 is automatically switched to business power source from solar energy photovoltic power system.Thereby even if weather forecast makes a mistake, equipment 5 also protects impact that battery 4 avoids charge volume deficiency so that vehicle normal driving.
In addition, at the next one, drive 1 o'clock after scheduling day being next day, at this, next day only charged to battery 4 by solar energy photovoltic power system, and then, navigator 5 can be take the charged electrical quantity of power of the time battery after the sunrise of at this next day and as basis, prepared at this one day and new charging operation plan of this next day after next day.
In the present embodiment, obtain following effect.
It is that basis obtains the electric power consumption amount of driving essential estimation in the next time that navigator 5 be take the time of advent and the destination of estimation of the next driving time inputted by user.Take next driving time at sunrise between and sunset time and weather forecast be basis, until before the time started of scheduling, equipment 5 is formed for the charging operation plan that farthest uses solar energy photovoltic power system to charge to battery 4.Because equipment 5 is controlled according to charging operation plan, battery 4 is charged, reduced charging cost.In addition, in the charged electrical quantity of power from solar energy photovoltic power system, be compared to once the electric power consumption amount hour of the essential estimation of driving time, from business power source, battery 4 charged.Thereby, fully guaranteed for the electrical power of driving time next time.
Owing to using time at night electric power to charge to battery 4 by business power source, therefore reduced charging cost.
In addition, equipment 5 consider current locations at sunrise between and sunset time and the operation plan of preparing to charge, and therefore, even if all farthest utilize solar photovoltaic generating to charge to battery 4 when the current location of vehicle is arranged on any longitude and latitude.
Because equipment 5 comprises for obtaining the function of current location information and/or weather forecast, therefore can easily obtain current location information and weather forecast.
(the second embodiment)
With reference to Fig. 6, Fig. 7 A and Fig. 7 B, explain the second embodiment.In the first embodiment, the new destination of the next driving time of essential input.Recently, schedule information is input in advance have comprise Bluetooth function scheduling feature such as mobile personal computer, PDA(personal digital assistant) and cellular mobile communication equipment in so that the date that this mobile communications device management is gone out and position.In navigator 5, input scheduling information is again unnecessary.In addition user's input scheduling information mistakenly again in navigator 5.
In the present embodiment, navigator 5 obtains element as schedule information, in compartment user at vehicle when thering is the mobile communication equipment of Bluetooth function, from the described mobile communication equipment with Bluetooth function (this schedule information obtains element, scheduling controller) receive, obtain the schedule information of input in advance.Thereby in the schedule information that represents the destination of vehicle, while representing that user is present in mobile communication equipment to the schedule information of the use of vehicle, the going-out information in equipment 5 schedule informations is set to destination.In this case, when schedule information comprises a plurality of destinations for going out or a plurality of time or many days, i.e. the use of vehicle, in equipment 5 schedule informations, nearest going-out information is set to destination.In addition,, during a plurality of going-out information in schedule information comprises on the same day, while comprising a plurality of destination, the going-out information in equipment 5 schedule informations is set to destination according to the order of the distance apart from current location.Thereby equipment 5 determines whether user utilizes the use of vehicle and going-out information is registered as to destination.Equipment 5 for execution scheduler with management going-out information.
Fig. 6 shows the data structure of the scheduler in mobile communication equipment.The data structure of scheduler comprises position and the main body of event title, date, event time started, end time, event.In the present embodiment, will judge whether user uses the mark of vehicle to be increased to scheduler for inputting.Moving vehicle be labeled as " 1 " time,, when being judged as "Yes", user uses vehicle (that is, automobile) to move to destination, the position arranging.This destination is registered in scheduler.
When user enters in the vehicle with the mobile communication equipment that comprises the scheduler of registering schedule information, navigator 5 is used Bluetooth function to obtain the schedule information of registering in mobile communication equipment.In this case, when schedule information comprises the data of mark of the moving vehicle with 1, navigator 5 is used the data dispatching in navigator 5 to replace the schedule information obtaining from mobile communication equipment as possible, that is, make to synchronize with the data dispatching navigator 5 from the schedule information of mobile communication equipment acquisition.When navigator 5 is used Bluetooth function as possible the data dispatching the schedule information obtaining from mobile communication equipment and navigator 5 to be integrated,, the schedule information obtaining from mobile communication equipment is synchronizeed with the data dispatching navigator 5, and SYNC(is synchronous in use) as the configuration standard of Bluetooth function.Thereby, navigator 5 next driving time storage purpose with scheduling the event time started (that is, the time of advent of estimation).
Navigator 5 is calculated the time started of estimating, at the time started place of this estimation, vehicle be take in equipment 5 destination of registration and start to travel towards destination as basis the time of advent of scheduling.Similar with the first embodiment, equipment 5 is prepared charging operation plan.In this case, because the event time started means that user starts to do in destination some things from this event time started, therefore preferably, between event time started of event and the time of advent of destination, increase such as the halfhour scheduled time, and then calculate time departure (that is, time started).
At vehicle from go back home in destination and user at equipment 5 from the condition of mobile communication equipment receiving scheduling information and registration schedule information during the engine of stop vehicle, all finishing scheduling of going out that navigator 5 was determined in this day.As shown at Fig. 7 A, it is that basis prepares nextly to drive scheduling that equipment 5 be take the schedule information that obtains from mobile communication equipment, and on display 11, shows that this next one drives scheduling.In Fig. 7 A, display 11 shows next date and scheduling content of driving scheduling, and this represents that user uses vehicle in the next time.In addition, display 11 shows that OK button 12 and scheduling change button 13.The basis that is scheduling to that OK button 12 represents to show inquires that whether preparing charging dispatches.Scheduling changes the input that button 13 indicates to change the instruction of dispatching.Whether suitable OK button 12 and scheduling change button 13 with corresponding for selecting charging to dispatch selectors.When user opens OK button 12, equipment 5 is prepared charging scheduling with the basis that is scheduling to showing.When not obvious in next destination or when displaying contents is incorrect so that user opens scheduling while changing button 13, another image by the image switching of Fig. 7 A on display 11 to Fig. 7 B.In Fig. 7 B, on display 11, show that the message 14 of " asking input scheduling " replaces scheduling to change button 13.Thereby user selects (that is, touching) to represent that user wants a part for the image of the information that changes, and then user uses button (not shown) to change this information.Button is corresponding with correcting element.In this case, after user's change is stored in the scheduling in navigator 5, the schedule information in mobile communication equipment can be synchronizeed with the scheduling changing in navigator 5.Alternatively, the schedule information in being stored in mobile communication equipment can be synchronizeed the scheduling being stored in navigator 5 after changing with the schedule information changing in mobile communication equipment.
In the present embodiment, navigator 5 is synchronizeed with the schedule information being stored in mobile communication equipment, and this mobile communication equipment is brought in vehicle so that equipment 5 is prepared next charging operation plan by user.Thereby user is not input to the schedule information of mobile communication equipment in navigator 5.Thereby, reduce user's operation burden, and thereby prevented user's input error.
In addition, user confirms that whether the schedule information receiving from mobile communication equipment is suitable, and then, and it is that next charging operation plan is prepared on basis that equipment 5 be take the schedule information of confirming.Thereby, improved the accuracy of next charging operation plan.
In addition,, when next schedule information is mistake, user can proofread and correct schedule information.Thereby, the suitably correction of operation dispatching information.
At equipment 5, during from mobile communication equipment receiving scheduling information, user can confirm that whether this schedule information is suitable.
When navigator 5 can be accessed by via WAN wide area network network the server being positioned on cloud network, user can use computer in its room via server registration schedule information.Server on cloud network is corresponding with scheduler handler.Navigator 5 can periodically obtain schedule information so that the scheduling this equipment 5 is synchronizeed with the schedule information in server when equipment 5 is opened from server.
(the 3rd embodiment)
With reference to Fig. 8, explain the 3rd embodiment.In the first embodiment, according to the angle of inclination of road obtaining from map datum and the existence of traffic lights, carry out the method for using the Japan-China electric power consumption amount of estimating at the next one of vehicle for calculating.Yet, may be not enough from the data accuracy of map datum.Specifically, with the map datum being stored in navigator 5, obtain a part for the route also not travelling about vehicle or whole information of this route.Yet the map datum in navigator 5 may be offhand for calculating electric power consumption amount.Thereby, may calculate irrelevantly the electric power consumption amount of estimation.
In the present embodiment, in order to improve the counting accuracy of the electric power consumption amount of estimation, from external system acquired information.Specifically, recently, provide have communication equipment for collecting detection (probe) vehicle of the driving information of vehicle.Communication equipment in detection vehicle is always coupled with information centre so that information centre's real-time collecting and the driving information of analyzing from a plurality of detection vehicles.Then, information centre is sent to each vehicle by the information such as traffic congestion information and rainy information.
The information of being collected by detection vehicle comprises the behaviour in service of actual electric power consumption and drive route and the vehicle of this detection vehicle.This information is uploaded to information centre.Thereby the detection vehicle information data library storage in information centre is about the information of actual electric power consumption and the drive route of this detection vehicle and the behaviour in service of this detection vehicle.Be stored in actual electric power consumption data in information centre for calculating the electric power consumption amount of estimation.Specifically, the behaviour in service of the weight of the type such as vehicle, passenger's quantity, luggage and driving performance is uploaded to information centre.Then, when the behaviour in service of vehicle is identical with detection vehicle, the electric power consumption amount data in the navigator 5 downloaded stored Gai information centres in vehicle.Thereby navigator 5 is used the actual electric power consumption data of downloading from information centre to calculate the electric power consumption amount of estimating.Thereby equipment 5 is treated to the actual electric power consumption data of this detection vehicle the data of being prepared by the navigator 5 of vehicle.In this case, the actual electric power consumption data can Jiang Cong information centre obtaining is registered as the information being obtained by navigator 5.
When the behaviour in service of uploading from navigator 5 and detection vehicle information data, the behaviour in service of detection vehicle is inconsistent, information centre determine the behaviour in service upload from navigator 5 whether with detection vehicle information database the behaviour in service of detection vehicle similar.In the time of the behaviour in service of the similar detection vehicle of behaviour in service with uploading from navigator 5 is stored in detection vehicle information database, navigator 5 is downloaded the actual electric power consumption data of this detection vehicle from detection vehicle information database.Navigator 5 is calculated the electric power consumption amount of estimation by making compensation factor be multiplied by the actual electric power consumption of downloading from information centre.Compensation factor is corresponding with the difference between vehicle and detection vehicle.Specifically, when the behaviour in service of vehicle and the behaviour in service of detection vehicle equate substantially, by the actual electric power consumption of detection vehicle as the electric power consumption amount of estimating.When the behaviour in service of vehicle does not equate with the behaviour in service of detection vehicle substantially, the actual electric power consumption of detection vehicle is not directly used as to the electric power consumption amount of estimating.In this case, by making the actual electric power consumption that compensation factor is multiplied by detection vehicle obtain the electric power consumption amount of estimating.Even when detection vehicle is gasoline-powered vehicles and diesel powered vehicle rather than motor vehicle and motor vehicle driven by mixed power, the electric power consumption amount of the estimation of plug-in vehicles is estimated in the actual energy consumption of this gasoline-powered vehicles and diesel powered vehicle of can take as basis.
By as follows for calculating the example shown of general equation of electric power consumption amount of estimation of plug-in vehicles.
(EST?E?P?CON?AMOUNT)=(ACT?E?PCON?AMOUNT?OF?PROBE?V)*(VEH?CH?X)*(LOAD?FACT?Y)*(DRI?CH?Z)
Here, the electric power consumption amount that term " EST E P CON AMOUNT " representative is estimated, term " ACT E P CON AMOUNT OF PROBE V " represents the actual electric power consumption of detection vehicle, term " VEH CH X " represents vehicle feature factor X, term " LOAD FACT Y " represents on-load factor Y, and term " DRI CH Z " represents driving performance factor Z.
When the type of vehicle equals the type of detection vehicle, vehicle feature factor X is 1.When the weight of vehicle is less than the weight of detection vehicle, vehicle feature factor X is arranged in the scope between 0 and 1.When the weight of vehicle is greater than the weight of detection vehicle, vehicle feature factor X is set to be greater than 1.
When the passenger in vehicle and the weight of luggage are less than the weight of passenger and luggage in detection vehicle, on-load factor Y is arranged in the scope between 0 and 1.When the passenger in vehicle and the weight of luggage are greater than the weight of passenger and luggage in detection vehicle, on-load factor Y is set to be greater than 1.
When the acceleration of vehicle and the number of repetition of deceleration are less than the acceleration of detection vehicle and the number of repetition of deceleration, driving performance factor Z is arranged in the scope between 0 and 1.When the acceleration of vehicle and the number of repetition of deceleration are greater than the acceleration of detection vehicle and the number of repetition of deceleration, driving performance factor Z is set to be greater than 1.In addition, when the number of repetition turning in the operation of vehicle is less than the number of repetition turning in the operation of detection vehicle, driving performance factor Z is arranged in the scope between 0 and 1.When the number of repetition turning in the operation of vehicle is greater than the number of repetition turning in the operation of detection vehicle, driving performance factor Z is set to be greater than 1.Here, suppose that steering vehicle and detection vehicle travel on identical road, take and as basis, determine driving performance by the acceleration of the acquisitions such as onboard sensor and deceleration mode and/or deflecting roller work angle pattern.
When the information of having downloaded about detection vehicle, above-mentioned correction can be carried out by navigator 5.Alternatively, navigator 5 is uploaded the information of the weight about vehicle, the passengers quantity in vehicle, the weight of luggage etc. to information centre.Then, information centre's calculation correction factor, and navigator 5 is downloaded correction factor or result of calculation from information centre.Thereby equipment 5 calculates the electric power consumption amount of estimating.
Vehicle along search route running time, with reference to Fig. 8, explain for calculating the computational methods of the electric power consumption amount of estimation.At vehicle during once along the route running of search, step D1 be judged as "Yes" time, in step D3 by making safety factor and actual electric power consumption now multiply each other to obtain the electric power consumption amount of estimation.In this case, for calculating the search pattern of the electric power consumption amount of estimation, can equal the whole route from starting point to destination that vehicle once travelled.Alternatively, for calculating the part that the search pattern of the electric power consumption amount of estimation can be the route from starting point to destination that once travelled of vehicle.At vehicle during also not along the route running of search, step D1 be judged as "No" time, in step D2, equipment 5 or information centre determine that whether detection vehicle data in detection vehicle information database are for calculating the electric power consumption amount of estimation.Specifically, equipment 5 or information centre determine whether the behaviour in service of vehicle is substantially equal to or is similar to the behaviour in service of detection vehicle, and when detection vehicle travels in same routes, the actual electric power consumption data of detection vehicle is registered in database.When the actual electric power consumption amount data of registration, step D2 be judged as "Yes" time, in step D4, by the actual electric power consumption of the correction factor corresponding with behaviour in service and detection vehicle is multiplied each other, calculate the electric power consumption amount of estimation.
Unregistered with and during the corresponding actual electric power consumption of search pattern same routes, step D2 be judged as "No" time, similar with the first embodiment, in step D5, take the angle of inclination of this road of obtaining from map datum and the electric power consumption amount of calculating estimation along the traffic lights quantity of this road as basis.It is that next charging operation plan is prepared on basis that navigator 5 be take the electric power consumption amount of estimating.
In the present embodiment, navigator 5 take by travel with search pattern same routes on the actual electric power consumption data collected of detection vehicle be that basis obtains the electric power consumption amount of estimating.It is that next charging operation plan is prepared on basis that equipment 5 be take the electric power consumption amount of estimating.Thereby, improved the estimation accuracy of the electric power consumption amount of estimating.Thereby, adequate preparation for driving the amount of electrical power that is filled with of plug-in vehicles, so that prevented from being filled with the deficiency of amount of electrical power.Thereby equipment 5 has prevented that use commercial electrical power source rather than solar energy photovoltic power system from carrying out overcharge definitely.
In addition,, when vehicle once travelled on search pattern, the equipment 5 use now electric power consumption amount of reality are calculated the electric power consumption amount of estimation.Thereby, more improved the estimation accuracy of the calculating of the electric power consumption amount of estimating.
In the time of in database at a plurality of detection vehicle information data storings behaviour in service with vehicle is similar or that equate in information centre, can use the mean value of a plurality of detection vehicle information datas as detection vehicle information data.
(the 4th embodiment)
With reference to Fig. 9 and Figure 10, explain the 4th embodiment.In the first embodiment, owing to not being fine at weather traffic bad, so user must earlier start steering vehicle so that late than the time departure of scheduling.In this case, may not complete the charging of battery 4.Thereby, may battery 4 be charged the position outside room.Thereby charging scheduling may be subject to user's unexpected behavioral implications.In the present embodiment, consider user behavior, revised charging scheduling.
Fig. 9 shows the block diagram of the whole system of charge controller in plug-in vehicles.The charge controller 2 that provides information acquisition element and residual electricity quantity of power to determine element also comprises that commercial advertisement information acquisition element 9, user wake information acquisition element 10 up, individual schedule information obtains element 11 and year scheduling and traffic congestion information acquisition element 12.Navigator 5 can be by the gain-of-function following information in equipment 5.
(1) Weather information hourly
(2) the electric light information in user family
(3) advertising message of commercial facility
(4) user's scheduling adjustment information
(5) opening of celebrating such as school and the annual event information of closing
(6) such as the emergency information of traffic accident
Via the Internet, VICS(vehicle information communicating system, registered trade name) etc. from a certain server, obtain the advertising message of Weather information hourly, commercial facility and such as the emergency information of traffic accident.From the household safe server of family, obtain the electric light information user family.From the information terminal of the communication function of having of being carried by user such as bluetooth (registered trade name), obtain user's scheduling adjustment information.The annual event information of the opening of celebrating such as school and closing is stored in individual database in advance.
Next, will be explained in the modification of charging and dispatching when equipment 5 obtains above-mentioned information.
Figure 10 shows the flow chart that the modification in charge controller 2 is processed.
Charge controller 2 determines in step e 1 whether equipment 5 obtains Weather information hourly by the Internet.In addition, controller 2 determines in step e 4 whether equipment 5 obtains user and wake information up.Controller 2 determines in step e 7 whether equipment 5 obtains the advertising message of commercial facility.Controller 2 determines in step e 11 whether equipment 5 obtains individual schedule information.Controller 2 determines in step e 14 whether equipment 5 obtains event information from individual database.
(1) the charging scheduling of considering Weather information per hour is revised
When equipment 5 obtains current weather information through the Internet from weather forecast server with the predetermined space such as every several hours, step e 1 be judged as "Yes" time, proceed to step e 2.In step e 2, controller 2 determine whether equipment 5 receives weather forecast so that weather will be at next in it working day before commuting time section, within least three hours, rain or poorer than rainy.When weather forecast is said weather by variation, in step e 2 be judged as "Yes" time, proceed to step e 3.In step e 3, controller 2 reset charging scheduling so that make when user's time departure accelerates in the past charge the deadline accelerate (shift to an earlier date) user's input time or accelerating time on average.In this case, in step e 19, revise charging scheduling with the compensation accelerating time.In this case, in the situation that consider that the electrical power cost of the time period at night of business power source forms while charging scheduling, preferably ignores the time period at night of business power source and battery 4 is carried out to quick charge.
(2) the charging scheduling of considering the information of waking up is revised
On weekdays, user almost has identical behavior pattern.Yet, because a certain event occurs, according to average wakeup time, change wakeup time.In this case, according to average time departure, change time departure.Equipment 5 from domestic safety server obtain such as user's wakeup time wake information up time, step e 4 be judged as "Yes" time, proceed to step e 5.Here, because domestic safety server monitors the electric power consumption of family ammeter and the lamp of family, equipment 5 or server with the electric consumption (that is, the variation of ammeter) and for detection of the testing result of the optical pickocff of the opening operation of lamp for detecting user's wakeup time in basis.In step e 5, the time departure of controller estimating user is more Zao or more late than common time departure.In this case, take according to the statistical information of the time in past of the wakeup time of user's past behavior pattern acquisition is the estimation that the time departure after user wakes up and prepares a few minutes or several hours for going out is carried out on basis.Thereby, in step e 6, according to the time departure of estimating, shift to an earlier date or postpone the charging deadline of scheduling.In this case, when the time departure of scheduling shifts to an earlier date, make battery 4 quick charges.When the time departure of scheduling postpones, extend the charging interval of solar energy photovoltic power system so that the utilization factor of solar energy photovoltic power system increases.Then, in step e 19, according to the charging deadline of the time departure of estimating or scheduling, revise (replacement) charging and dispatch.
(3) the charging scheduling of considering advertising message is revised
In extensive electrical equipment market, plan to carry out sales promotion on opening is celebrated, or the special promotion of extensive supermarket plan such as Tuesdays is during day, the opening time or promotion period, the road amount around this extensive electrical equipment market or extensive supermarket is large.Thereby, when equipment 5 obtains the advertising message of commercial facility from information server, step e 7 be judged as "Yes" time, proceed to step e 8.In step e 8, controller determines whether to be provided with in advance destination.When being provided with destination in advance, step e 8 be judged as "Yes" time, equipment 5 in step e 9, take map datum and the address of the commercial facility that obtains from advertising message as the large region of the basic forecast volume of traffic and the large time of the volume of traffic.In this case, the discount information of take in sales promotion information such as the phrase of " 20% price reduction " is basis, and the discount degree of sales promotion of take is basic, the size of the part that equipment 5 prognosis traffic volumes are large (region).Take in sales promotion information promotion period be basis, the time that prognosis traffic volume is large.Consider large area and the time of the volume of traffic, because the volume of traffic causes greatly the running time from current location to destination, increase.Thereby, in step e 10, according to running time and the charging deadline of forward scheduling.Then, in step e 19, according to the charging deadline of running time or scheduling, revise (replacement) charging and dispatch.In this case, preferably, because the volume of traffic causes greatly electric power consumption Efficiency Decreasing, necessary amount of electrical power is set to larger.
(4) the charging scheduling of considering individual scheduler is revised
At equipment 5, obtain lastest imformations, by user, be carried to the scheduling adjustment information in the data dispatching of the mobile device with communication function in vehicle, time, step e 11 be judged as "Yes" time, proceed to step e 12.In step e 12, at user's data dispatching, have the used time, for example data dispatching be illustrated in the morning set of time earlier during meeting, in step D12, predict time departure.Then, in step e 13, according to the charging deadline of conferencing information forward scheduling.Then, in step e 19, according to the charging deadline of conferencing information or scheduling, revise (replacement) charging and dispatch.
(5) consider the charging scheduling modification from the event information of DB
New employee's quantity that the Ji Tianneidao company starting from annual first day travels frequently increases.In this case, company's road around and the volume of traffic increase of crossroad.In summer vacation, starting student's quantity that Shi Dao school travels frequently is substantially zero.In this case, school's road around and the volume of traffic reduction of crossroad.Thereby every year, although the date of event can be different, the volume of traffic of road can change according to recurrent event.In database, registration causes the event that the volume of traffic is large.At equipment 5, obtain the event information and this event that are stored in database and remain on ensuing drivings during day, step e 14 be judged as "Yes" time, proceed to step e 15.In step e 15, because the student who travels frequently may cause the volume of traffic large, be therefore arranged on the existence of the camera detection student on vehicle when event information relates to school.In this case, conventionally very large in school of schoolday road Traffic Volume around.Bu Shi schoolday hourly capacity reduces.In step e 16, controller determines whether it is schoolday.During Bu Shi schoolday, step e 16 be judged as "No" time, in step e 17, the time that prognosis traffic volume is large.In step e 18, according to the charging deadline of event information delay dispatching.Then, in step e 19, according to the charging deadline of event information or scheduling, revise (replacement) charging and dispatch.
Here, because student wears identical school uniform, the video capture of camera of take can easily distinguish as basis whether individual is student.In this case, preferably according to season in switching judging pattern between summer school uniform pattern and winter school uniform pattern.Can change according to the quantity of vacation the end of vacation in spring.Yet, suppose that school, on first Monday, determines schoolday.
When the deadline is charged in the behavior of driving Japan-China weather and/or user according to the next one in advance, if automatically quick charge of battery can damage as the lithium ion battery of the battery of plug-in vehicles the life-span of battery is reduced.Thereby, only the residual electricity quantity of power in battery 4 battery capacity 20% and 80% between scope in time just battery 4 is carried out to quick charge.Here, by the scope definition between 20% and 80%, be quick charge scope.In the time of outside the scope of residual electricity quantity of power in battery 4 between 20% and 80%, battery 4 is charged normal.Thereby, control suitably charging rate, so that can minimize electrical power cost, and improve in addition the life-span of battery 4.
Although not shown in Figure 10, while receiving the emergency information such as traffic accident information from transport information at equipment 5, can reset charging scheduling so that the deadline of charging in advance avoid the impact of traffic congestion.
Because this user when user leaves vehicle supposes that next driving day is the rainy day, so this user can reset to the scheduling time departure of next one driving day in advance.In this case, if equipment 5 receives nearest Weather information, and weather forecast at the time departure of scheduling, from the rainy day, change to cloudy or fine, the time departure that user can delay dispatching.Thereby the charging scheduling of can again resetting is so that change to normal commuting time by the time departure of charging deadline or scheduling.Thereby, until before the time departure of scheduling, improved the utilization factor of solar energy photovoltic power system.In addition,, due to the traffic congestion that does not have to cause because of the rainy day, vehicle arrives destination in the time of advent of expection.
In the present embodiment, after forming charging scheduling, the charging deadline in hypothesis charging scheduling, while preferably changing from the original charging deadline, is revised charging scheduling.Thereby, battery 4 is reliably charged.
Even when charging in advance the deadline according to the modification of charging scheduling, due to until battery 4 is carried out to quick charge before the charging deadline, therefore battery 4 is reliably charged.In this case, due to battery just quick charge when only the residual electricity quantity of power in battery 4 is suitable, thereby, even when battery 4 is carried out to quick charge, also can make the damage of battery 4 minimize.
(modification)
In the above-described embodiments, plug-in vehicles is plug-in hybrid vehicle.Alternatively, plug-in vehicles can be plug-in type electromagnetic motor-car.In this case, because vehicle when battery 4 is discharged completely can not move, therefore safety factor need to be set the in the situation that of charging process greatly.
Replace the charge controller in navigator 5, can be as the ETC(E-payment system of charge member) equipment is arranged on vehicle.ETC equipment is from navigator 5 acquired informations.
Navigator 5 monitors Weather information.When Weather information changes, can revise charging operation plan.Alternatively, when Weather information changes, user can revise charging scheduling.When equipment 5 obtains traffic congestion information, equipment 5 can arrange the time started of scheduling early, and in addition, equipment 5 can change charging scheduling according to the time started early.
Business power source can comprise the business power source of 100 volts and the business power source of 200 volts.Electric power source selector 3 can switch between the business power source of 100 volts and the business power source of 200 volts.
Above-mentioned openly have a following aspect.
According to first aspect of the present disclosure, for utilizing, comprise the charge controller that a plurality of electric power sources of solar energy photovoltic power system charge to the battery of plug-in vehicles, described controller comprises: for take the information of user's input, be that basis estimates that the drive route of next optimum drive route estimates element; For calculating the electric power consumption amount calculator of estimation of the electric power consumption amount of the essential estimation of next optimum drive route of travelling; Be used for obtaining until the Weather information of the Weather information before next driving time obtains element; For obtain until next driving time before sunshine information information acquisition element at sunshine; For before next driving time, take described Weather information and described sunshine information as basis, calculate the solar photovoltaic generating amount of electrical power calculator of solar photovoltaic generating amount of electrical power; For calculate the electrical power wantage calculator of electrical power wantage than the electric power consumption amount of estimating hour in solar photovoltaic generating amount of electrical power; For preparing representative, for using solar energy photovoltic power system, element is prepared in the first charging interval that battery is charged and the charging scheduling of dispatching for the charging of using another electric power source battery to be carried out to the second charging interval of charged electrical power wantage; And for controlling the charging control element battery is charged according to charging scheduling.
In above-mentioned controller, until battery is charged at utmost from solar energy photovoltic power system before next driving time.Thereby, reduce charging cost.Even be not electric power consumption amount hour fine and that therefore solar photovoltaic generating amount of electrical power ratio is estimated at weather, from another electric power source, battery is charged.Thereby, battery is carried out to fully charging and for the next one, drive chance.
Alternatively, described another electric power source can be commercial electrical power source.Described commercial electrical power source has low-cost time period and expensive time period.Electrical Power Unit cost in the low-cost time period is lower than the Electrical Power Unit cost in the expensive time period.The scheduling of charging is prepared element and is prepared in such a manner charging scheduling so that farthest the second charging interval was dispatched in the low-cost time period.In this case, even when using commercial electrical power source to charge to battery, owing to farthest the scheduling of the second charging interval having been reduced to charging cost in the low-cost time period.In addition, this low cost time period can be the time period at midnight.
Alternatively, charge controller may further include: for showing that vehicle is the use indicating device of travelling frequently of travelling frequently and using in the use of next driving time; And for storing the memory of the past data of actual electric power consumption.Use indicating device to show that vehicle is to travel frequently while using in the use of next driving time travelling frequently, it is the electric power consumption amount that basic calculation is estimated that the electric power consumption amount calculator of estimation be take the past data of actual electric power consumption.In this case, take the past data of actual electric power consumption, to be basic pinpoint accuracy calculate the electric power consumption amount of estimation.
Alternatively, when battery being charged from solar energy photovoltic power system, at charging control element, determine that when fewer than the solar photovoltaic generating amount of electrical power of calculating from the actual amount of electrical power being filled with of solar energy photovoltic power system, the control element that charges can control from solar energy photovoltic power system, to be switched to another electric power source.In this case, even while there is electrical power shortage carry out between charge period weather to change from solar energy photovoltic power system, charging control element also controls to be switched to another electric power source from solar energy photovoltic power system so that charged electrical power is enough to be used in the next chance of driving.
Alternatively, charge controller may further include: for managing the dispatching management element of the schedule information of being inputted by user; And obtain element for obtain the schedule information of schedule information from dispatching management element.Described charging scheduling preparation element be take schedule information as basis preparation charging scheduling.In this case, user oneself does not need input scheduling information.
Alternatively, charge controller may further include: for the whether suitable selectors of selection scheduling information.In selectors selection scheduling information while being suitable, charging scheduling is prepared element and be take this schedule information and as basis, prepare charging scheduling.In this case, guaranteed suitably schedule information.
Alternatively, charge controller may further include: for proofread and correct the correcting element of schedule information according to user's operation when selectors selection scheduling information is improper.In this case, easily proofread and correct schedule information.
Alternatively, dispatching management element can be the mobile communication equipment with short range communication function.Schedule information obtains element and communicates by this short range communication function and mobile communication equipment.
Alternatively, dispatching management element can be the server being positioned on system for cloud computing.Schedule information obtains element via WAN wide area network network and server communication.
Alternatively, charge controller may further include: for obtaining the actual electric power consumption data of the actual electric power consumption data of the detection vehicle that is stored in information centre, obtain element.At detection vehicle and this detection vehicle similar with described vehicle travelled with on route that once optimum drive route is identical time, it is the electric power consumption amount that basic calculation is estimated that the electric power consumption amount calculator of estimation be take the actual electric power consumption data of this detection vehicle.In this case, improved the counting accuracy of the electric power consumption amount of estimating.
Alternatively, when vehicle has travelled on the route identical with next optimum drive route, the electric power consumption amount that the actual electric power consumption that the electric power consumption amount calculator of estimation can be take in the situation that Vehicle Driving Cycle is in same routes is estimated as basic calculation.In this case, improved more the counting accuracy of the electric power consumption amount of estimating.
Alternatively, charge controller may further include: for prepare element in charging scheduling, prepare to obtain the information acquisition element that affects the charging scheduling of this vehicle or the information of driving condition after charging scheduling.In charging scheduling, prepare element and take information that information acquisition element obtains while determining that as basis having changed the time departure of scheduling or next optimum drive route blocks up, this charging scheduling is prepared element and is revised charging scheduling.In this case, battery is reliably charged.
Alternatively, the information being obtained by information acquisition element can at least comprise with lower at least one: Weather information hourly, user's the information of waking up, represent business activity information for assembling crowd's business activity, the individual schedule information and the event information that from user's mobile device, obtain.In this case, even when changing the time departure of scheduling, also can revise reliably charging scheduling.
Alternatively, when the modification of charging scheduling preparation element is dispatched to charge in advance, charging control element can charge to battery from another electric power source.Even when charging scheduling shifts to an earlier date, also can reliably charge to battery.
In addition, described charge controller may further include: for detection of the residual electricity quantity of power detecting element of the residual electricity quantity of power in battery.In the situation that the residual electricity quantity of power in battery is arranged on to predetermined quick charge capability scope, charging control element carries out quick charge to battery.In this case, reduced the damage of the battery being caused by quick charge.
Alternatively, when charging scheduling preparation element modifies to postpone charging scheduling, charging control element can extend for the first charging interval.In this case, improved the use factor of photovoltaic generating system.
According to second aspect of the present disclosure, a kind of navigator for vehicle comprises: according to the charge controller of disclosure first aspect.In this case, navigator is easily carried out to use and is comprised that a plurality of electric power sources of solar energy photovoltic power system charge to the battery of plug-in vehicles.
Although described the present invention with reference to the preferred embodiments of the present invention, it should be understood that the present invention is not limited to described preferred embodiment and structure.The present invention is intended to cover various modification and is equal to setting.In addition, although preferred various combination and configuration comprise other combination more, still less or only discrete component and configuration also within the spirit and scope of the present invention.

Claims (7)

1. for utilizing, comprise the charge controller that a plurality of electric power sources of solar energy photovoltic power system charge to the battery of plug-in vehicles (4), described controller comprises:
Drive route is estimated element (6), for take the information of user's input, estimates next optimum drive route as basis;
The electric power consumption amount calculator (2) of estimating, for calculating the electric power consumption amount of the essential estimation of described next optimum drive route of travelling;
Weather information obtains element (7), for obtaining until the Weather information before next driving time;
Information acquisition element at sunshine (8), for obtaining until described next driving time before information at sunshine;
Solar photovoltaic generating amount of electrical power calculator (2), for take described Weather information and described sunshine information as basis, calculate until the solar photovoltaic generating amount of electrical power before next driving time;
Electrical power wantage calculator (2), for calculating electrical power wantage when described solar photovoltaic generating amount of electrical power is less than the electric power consumption amount of described estimation;
Element (2) is prepared in charging scheduling, for preparing that representative is used for utilizing the first charging interval that described solar energy photovoltic power system charges to described battery (4) and for utilizing another electric power source described battery (4) to be filled with to the charging scheduling in the second charging interval of described electrical power wantage;
Charging control element (2), for controlling according to described charging scheduling, described battery (4) to be charged; And
Actual electric power consumption data obtains element (5), for obtaining the actual electric power consumption data of the detection vehicle that is stored in information centre,
Wherein when the similar and described detection vehicle of described detection vehicle and described plug-in vehicles has travelled on the route identical with described next optimum drive route, the electric power consumption amount calculator (2) of described estimation be take the described actual electric power consumption data of described detection vehicle and as basis, is calculated the electric power consumption amount of described estimation.
2. charge controller according to claim 1,
Wherein said another electric power source is commercial electrical power source,
Wherein said commercial electrical power source has low-cost time period and expensive time period,
Electrical Power Unit cost in the wherein said low-cost time period is lower than the Electrical Power Unit cost in the described expensive time period, and
Wherein said charging scheduling is prepared element (2) so that the mode that described the second charging interval was farthest dispatched in the described low-cost time period is prepared described charging scheduling.
3. charge controller according to claim 2,
The wherein said low-cost time period is the time period at midnight.
4. charge controller according to claim 1, further comprises:
Travel frequently and use indicating device (2), for showing that described plug-in vehicles is the use of travelling frequently in the use of described next driving time; And
Memory (2), for storing the past data of actual electric power consumption,
Wherein described travelling frequently, use indicating device (2) to show that described plug-in vehicles travelling frequently described in the use of described next driving time is while using, the electric power consumption amount calculator (2) of described estimation be take the described past data of described actual electric power consumption and as basis, is calculated the electric power consumption amount of described estimation.
5. charge controller according to claim 1,
Wherein, when described battery (4) being charged from described solar energy photovoltic power system, described charging control element (2) controls from described solar energy photovoltic power system, to be switched to described another electric power source when the definite actual amount of electrical power being filled with from described solar energy photovoltic power system of described charging control element (2) is fewer than the solar photovoltaic generating amount of electrical power of being calculated.
6. charge controller according to claim 1,
Wherein, when described plug-in vehicles has travelled on the route identical with described next optimum drive route, the actual electric power consumption that the electric power consumption amount calculator (2) of described estimation be take in the situation that described plug-in vehicles travels in described same routes calculates the electric power consumption amount of described estimation as basis.
7. for a navigator for vehicle, comprising:
According to the charge controller described in any one in claim 1 to 5.
CN201310534351.6A 2010-02-15 2011-02-15 Charge controller and navigator for plug-in vehicles Expired - Fee Related CN103647307B (en)

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JP2010274589A JP5472069B2 (en) 2010-02-15 2010-12-09 Plug-in vehicle charging control device
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106451595A (en) * 2015-08-07 2017-02-22 丰田自动车株式会社 Charging control system
CN108202608A (en) * 2016-12-19 2018-06-26 现代自动车株式会社 Electric vehicle and its system and electric vehicle battery charging method to battery charging
CN112519756A (en) * 2019-09-17 2021-03-19 丰田自动车株式会社 Drive control device for vehicle

Families Citing this family (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5501095B2 (en) * 2010-05-28 2014-05-21 本田技研工業株式会社 Charge control device and vehicle equipped with charge control device
JP5311516B2 (en) * 2011-09-21 2013-10-09 Necインフロンティア株式会社 handy terminal
JP5454537B2 (en) * 2011-09-22 2014-03-26 株式会社デンソー Electric vehicle charging control system
JP5786593B2 (en) * 2011-09-26 2015-09-30 ソニー株式会社 Power storage control device and power storage control method
JP5877479B2 (en) * 2011-11-01 2016-03-08 清水建設株式会社 Power management system, power management method, program
WO2013137071A1 (en) * 2012-03-14 2013-09-19 日本電気株式会社 Charger reservation system, charger reservation device, charger reservation method, and program
WO2013153659A1 (en) 2012-04-12 2013-10-17 株式会社日立製作所 Vehicle control system
US20140005847A1 (en) * 2012-06-28 2014-01-02 Toyota Infotechnology Center Co. Ltd. Event Control Schedule Management
JP5908360B2 (en) * 2012-07-19 2016-04-26 株式会社デンソー In-vehicle charging controller
JP5958552B2 (en) * 2012-11-26 2016-08-02 日産自動車株式会社 Control device for hybrid vehicle
JP5684774B2 (en) * 2012-12-10 2015-03-18 株式会社エナリス Schedule management system and program
KR20140094362A (en) * 2013-01-22 2014-07-30 한국전자통신연구원 Apparatus and method for energy management of the electric vehicle
EP2975725B1 (en) * 2013-03-11 2020-07-15 Kabushiki Kaisha Toshiba Charging time adjusting apparatus, charging system, and charging time adjusting program
US9963042B2 (en) 2013-04-01 2018-05-08 Mitsubishi Electric Corporation Apparatus, charging control apparatus, and information input/output apparatus
CN103335656A (en) * 2013-06-25 2013-10-02 东莞市双俊电子科技有限公司 Vehicle-mounted navigation system with improved structure
JP6136687B2 (en) * 2013-07-17 2017-05-31 株式会社デンソー Reciprocating point display system and display processing program
CN105409085A (en) * 2013-08-26 2016-03-16 三菱重工业株式会社 Charging control device, electric vehicle charging system, and electric vehicle charging method
US9731617B2 (en) 2014-12-04 2017-08-15 Ford Global Technologies, Llc Pattern based charge scheduling
JP6384339B2 (en) * 2015-01-28 2018-09-05 株式会社デンソー Vehicle battery charging information notification system and charging information notification program
JP6481629B2 (en) * 2016-01-27 2019-03-13 トヨタ自動車株式会社 Charging system
US10023061B2 (en) * 2016-08-03 2018-07-17 Ford Global Technologies, Llc System and method for selecting charging source for electrified vehicle
JP7227752B2 (en) * 2018-12-10 2023-02-22 株式会社Subaru vehicle assistance system
JP7273491B2 (en) * 2018-12-10 2023-05-15 株式会社Subaru vehicle assistance system
JP7283077B2 (en) * 2018-12-27 2023-05-30 トヨタ自動車株式会社 Information processing device, information processing method, program
JP2020107007A (en) * 2018-12-27 2020-07-09 ダイハツ工業株式会社 Scheduling device for automatic driving vehicle
JP7366767B2 (en) * 2020-01-21 2023-10-23 株式会社Nttドコモ Information provision device
DE102020209044A1 (en) * 2020-07-20 2022-01-20 Robert Bosch Gesellschaft mit beschränkter Haftung Method of operating a vehicle and vehicle
JP7413974B2 (en) 2020-10-22 2024-01-16 トヨタ自動車株式会社 Charging management device, charging management method, and mobile object
JP7311551B2 (en) * 2021-03-26 2023-07-19 本田技研工業株式会社 Electric vehicle charge control method and electric vehicle
CN115802559B (en) * 2023-02-03 2023-04-18 宝邑(深圳)照明科技有限公司 Intelligent illumination control method and device, computer equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009148121A (en) * 2007-12-17 2009-07-02 Denso Corp Charging system for plug-in vehicle
CN101612923A (en) * 2009-07-31 2009-12-30 上海联孚新能源科技有限公司 Vehicle control unit of electric vehicle

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001314002A (en) * 1995-07-24 2001-11-09 Toyota Motor Corp Control device of generator in electric vehicle
JPH11178237A (en) * 1997-12-10 1999-07-02 Nissan Motor Co Ltd Household power supply system
JP3931457B2 (en) * 1998-12-22 2007-06-13 トヨタ自動車株式会社 Charge control device for hybrid vehicle
JP3985390B2 (en) * 1999-06-17 2007-10-03 日産自動車株式会社 Power management system
JP3758986B2 (en) * 2001-04-10 2006-03-22 三菱重工業株式会社 Power control system
JP2002350152A (en) * 2001-05-25 2002-12-04 Mazda Motor Corp Information display method, information providing device and information display device used therefor, program for controlling information providing device or information display device, and recording medium recording the same
JP2004094607A (en) * 2002-08-30 2004-03-25 Matsushita Electric Ind Co Ltd Portable information device, and charge state optimization method and program therefor, as well as battery management server, and charge state optimization method and program for battery type electric device thereby
JP2004145727A (en) * 2002-10-25 2004-05-20 Mazda Motor Corp Automobile energy consumption prediction system, automobile energy consumption prediction server, automobile energy consumption prediction method and automobile energy consumption prediction program
JP2005196493A (en) * 2004-01-07 2005-07-21 Mitsubishi Electric Corp Schedule management system
JP2006113889A (en) * 2004-10-15 2006-04-27 Fuji Heavy Ind Ltd Probe car management system
JP2006115623A (en) * 2004-10-15 2006-04-27 Fuji Heavy Ind Ltd Travelable distance estimation system
JP2008021220A (en) * 2006-07-14 2008-01-31 Hitachi Ltd Information system, information management terminal, program and information management method
JP2008249536A (en) * 2007-03-30 2008-10-16 Aisin Aw Co Ltd Vehicle guidance device and vehicle guidance server
JP4983413B2 (en) * 2007-06-07 2012-07-25 アイシン・エィ・ダブリュ株式会社 Power source supply control device, power source supply control method, and power source supply control program
JP5121416B2 (en) * 2007-11-21 2013-01-16 日立オートモティブシステムズ株式会社 Vehicle information management apparatus, method and program
JP4973475B2 (en) * 2007-12-06 2012-07-11 トヨタ自動車株式会社 Charge control device
JP2011517261A (en) * 2008-02-19 2011-05-26 ブルーム エナジー コーポレーション Fuel cell system for charging electric vehicles
JP4924478B2 (en) * 2008-02-29 2012-04-25 アイシン・エィ・ダブリュ株式会社 Driving support apparatus, method and program
JP2009254221A (en) * 2008-04-11 2009-10-29 Kansai Electric Power Co Inc:The Battery charging method of secondary battery
JP5095495B2 (en) * 2008-05-20 2012-12-12 日本電信電話株式会社 Electric power system and control method thereof
JP2010028913A (en) * 2008-07-16 2010-02-04 Shikoku Electric Power Co Inc Charging system for electric vehicle
JP4713623B2 (en) * 2008-09-25 2011-06-29 株式会社日立製作所 Charge / discharge management device

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009148121A (en) * 2007-12-17 2009-07-02 Denso Corp Charging system for plug-in vehicle
CN101612923A (en) * 2009-07-31 2009-12-30 上海联孚新能源科技有限公司 Vehicle control unit of electric vehicle

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106451595A (en) * 2015-08-07 2017-02-22 丰田自动车株式会社 Charging control system
CN106451595B (en) * 2015-08-07 2018-12-14 丰田自动车株式会社 Charge control system
US10189365B2 (en) 2015-08-07 2019-01-29 Toyota Jidosha Kabushiki Kaisha Charging control system
CN108202608A (en) * 2016-12-19 2018-06-26 现代自动车株式会社 Electric vehicle and its system and electric vehicle battery charging method to battery charging
CN108202608B (en) * 2016-12-19 2022-07-12 现代自动车株式会社 Electric vehicle for charging battery, system thereof and battery charging method for electric vehicle
CN112519756A (en) * 2019-09-17 2021-03-19 丰田自动车株式会社 Drive control device for vehicle
CN112519756B (en) * 2019-09-17 2024-08-13 丰田自动车株式会社 Vehicle drive control device

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