JP7196407B2 - estimation device - Google Patents

Description

The present disclosure relates to an estimation device that estimates cruising information related to a cruising range that can be covered with the remaining power of an electric vehicle.

Patent Literature 1 discloses an estimating device that estimates a cost value corresponding to the power consumption due to running of an electric vehicle. The estimation device described in Patent Literature 1 has a stop count estimation unit and a processing unit. The number-of-stops estimation unit estimates the number of times the electric vehicle stops for each road section. The processing unit selects a specific driving model corresponding to the number of times of stops from a plurality of driving models that indicate temporal changes in the speed of the electric vehicle. The processing unit uses the selected specific running model to estimate the cost value required for the electric vehicle to run. The estimation device subtracts the power consumption indicated by the estimated cost value from the remaining power of the battery of the electric vehicle to determine whether or not the vehicle can continue on the road section.

Japanese Patent No. 6205919

However, the cruising range of an electric vehicle based on the remaining amount of power is easily affected by the environment of the planned route. Therefore, in the estimation device described in Patent Document 1 that does not consider the environment of the planned route, there is a possibility that the accuracy of estimating the cruising information related to the cruising range may deteriorate.

An object of the present disclosure is to provide an estimation device capable of suppressing deterioration in estimation accuracy of cruising information related to cruising range.

The above objects are achieved by the combination of features stated in the independent claims, while the subclaims define further advantageous embodiments of the disclosure. The symbols in parentheses described in the claims indicate the corresponding relationship with specific means described in the embodiments described later as one aspect, and do not limit the technical scope of the present disclosure. .

The estimating apparatus of the present disclosure for achieving the above object provides atmospheric information indicating the state of the atmosphere on the scheduled route as environmental information on the scheduled route from a preceding vehicle that has traveled on the scheduled route on which the electric vehicle (10) is scheduled to travel. and road surface information indicating a rolling resistance coefficient corresponding to the type of pavement; and a temperature estimation unit (114) for estimating the battery temperature of the electric vehicle on the planned route based on the environmental information. a resistance estimating unit (116) that estimates the running resistance on the planned route based at least on the road surface information included in the environment information; a range estimator (117) for estimating range information related to the range.

According to the above configuration, the battery temperature of the electric vehicle on the planned route is estimated based on the environment information acquired from the preceding vehicle that has traveled on the planned route. The cruising estimator that estimates cruising information based on the battery temperature can correct variations in cruising range caused by variations in battery temperature on the planned route. Therefore, the estimating device can suppress deterioration in estimation accuracy of the cruising range information related to the cruising range.

It is a figure which shows the structure of a traffic information system. 4 is a flow chart showing the operation of the server device; It is a flowchart which shows the operation|movement of an estimation apparatus. It is a figure which shows the preceding vehicle which acquires environmental information.

The estimating device 110 according to the embodiment of the present disclosure is used in the vehicle system 100 that configures the traffic information system 1 as shown in FIG. 1 . The traffic information system 1 collects traffic information including environment information and road congestion information acquired while driving a plurality of vehicles including the electric vehicle 10 . The traffic information system 1 provides collected traffic information to vehicles such as the electric vehicle 10 . The traffic information system 1 includes a server device 200 in addition to the vehicle system 100 described above.

The server device 200 is provided in a data center or the like so as to be able to communicate with a vehicle such as the electric vehicle 10 via a base station and a public line network. Server device 200 includes a database that stores environmental information transmitted from a vehicle such as electric vehicle 10 . Server device 200 transmits the stored environmental information to electric vehicle 10 in accordance with a request signal from electric vehicle 10 . In addition, the server device 200 periodically transmits to the electric vehicle 10 the presence or absence of congestion as traffic congestion information determined based on communication with a monitoring device equipped with a camera that captures images of the road.

Vehicle system 100 is used in electric vehicle 10 . Vehicle system 100 includes locator 101, HMI unit 102, air conditioning ECU 103, MGECU 104, battery ECU 105, sensor group 106, and communication unit 107 in addition to estimation device 110 described above.

The locator 101 includes, for example, a GNSS (Global Navigation Satellite System) receiver and a map database. A GNSS receiver is a receiver which receives the positioning signal which the positioning satellite which comprises GNSS transmits. A map database is a nonvolatile storage device that stores map data including link data, node data, and the like.

The link data is data relating to links corresponding to road sections into which the road is divided. The link data includes a link ID specifying a link, a node ID of a node corresponding to an end point of the link, road shape, and the like. The node data is data relating to nodes corresponding to points dividing a road into road sections. The node data includes a node ID specifying a node, a link ID of a link connected to the node, the position of the node, and the like. The locator 101 sequentially identifies the current position of the vehicle by combining positioning signals, road shapes, and the like. The locator 101 identifies the link on which the vehicle is located and the node through which the vehicle passes, based on the identified vehicle position.

The HMI unit 102 includes a display unit that presents various information to the user of the vehicle, and an input unit that receives various inputs from the user of the vehicle. The display unit includes a center display provided near the center of the instrument panel in the vehicle width direction. The center display displays a navigation image for route guidance and the like. The navigation image shows the cruising distance based on the remaining power of the vehicle's battery.

The input unit includes a touch panel superimposed on the center display and an air conditioning switch provided around the center display. The touch panel accepts input operations such as a destination setting operation and a route selection operation. The air conditioning switch accepts setting operations for the set temperature for the air conditioning system of the vehicle, the intake mode such as inside air circulation and outside air introduction, and the blowout mode such as face blowout and defroster.

The air conditioning ECU 103 is an electronic control unit that controls the air conditioning system of the vehicle. The air conditioning ECU 103 acquires outside air information indicating the temperature and humidity outside the vehicle and inside air information indicating the temperature and humidity inside the vehicle from each sensor mounted on the own vehicle. The air-conditioning ECU 103 also acquires setting information such as the set temperature set by the HMI unit 102, the intake mode, and the blow-out mode. The air conditioning ECU 103 controls the inside/outside air switching door, blower, compressor, heater, air mix door, outlet door, etc. of the air conditioner according to outside air information, inside air information, and setting information.

The MGECU 104 is an electronic control unit that controls a motor generator used to drive the vehicle. The MGECU 104 acquires an operation signal indicating a driving operation such as an accelerator operation or a brake operation by the driver from an accelerator position sensor and a brake depression force sensor mounted on the own vehicle. The MGECU 104 acquires behavior signals indicating the behavior of the vehicle, such as speed and acceleration/deceleration, from wheel speed sensors and acceleration sensors mounted on the vehicle. The MGECU 104 causes the motor generator to output the driving force calculated according to the operation signal and the behavior signal.

The battery ECU 105 is an electronic control unit that controls charging and discharging of the battery of the vehicle. The battery ECU 105 acquires output voltage, input/output current, temperature, etc. as battery information regarding the battery of the vehicle. The battery ECU 105 calculates the amount of power output from the battery and the remaining power of the battery based on the obtained battery information and the preset charging/discharging characteristics of the battery of the vehicle.

The sensor group 106 is various sensors that acquire the state of the vehicle and the state of the road on which the vehicle travels. The sensor group 106 includes a wind speed sensor, an air pressure sensor, a camera, and a seating sensor. The wind speed sensor acquires the relative wind speed toward the rear of the vehicle. The wind speed sensor acquires the wind speed of the wind that has flowed through the front grille of the vehicle, for example. The atmospheric pressure sensor acquires the atmospheric pressure of the road on which the vehicle is traveling. The atmospheric pressure sensor is provided at a position where the atmospheric pressure substantially matches the atmospheric pressure, such as in an engine room. The camera captures an image of the road surface on which the vehicle is traveling. The camera is provided, for example, on the front grill. The seating sensor is a sensor for detecting the user of the own vehicle. A seat sensor is provided in each seat of the vehicle and detects whether or not the user is seated in the seat.

The communication unit 107 is a communication device that wirelessly communicates with the outside of the vehicle. Communication unit 107 communicates with server device 200 via a base station and a public line network. The communication unit 107 transmits the probe information and the request signal from the estimation device 110 to the server device 200 . The communication unit 107 receives environment information transmitted from the server device 200 in response to the request signal, and outputs the environment information to the estimation device 110 .

The estimating device 110 is an electronic control device mainly composed of a computer including a processor, a memory, an input/output interface, and the like. A processor includes a CPU, a GPU, and the like. The memory stores programs that are executed by the processor. The programs stored in the memory include a navigation program for displaying a navigation image on the center display of HMI section 102 . The estimating device 110 functions as an environment transmitting unit 111, a route setting unit 112, an environment acquiring unit 113, a temperature estimating unit 114, an air conditioning estimating unit 115, a resistance estimating unit 116, and a range estimating unit 117 by executing programs. do. Some or all of the functions of the estimation device 110 may be implemented in hardware by one or a plurality of ICs or the like.

The environment transmission unit 111 transmits to the server device 200 probe information including environment information acquired by the own vehicle. For example, when the vehicle passes through a node, the environment transmission unit 111 transmits probe information including the environment information of the link on which the vehicle passed before passing. Probe information includes time information, location information, and reliability information in addition to environment information.

The time information is information for specifying the time when the environment information was acquired. The time information uses, for example, the time when the node exits the link. The location information is information for identifying the link from which the environmental information was obtained and the direction of travel. The location information includes, for example, the link ID of the link on which the vehicle was traveling and the node ID of the node from which it left.

Reliability information is information for determining the possibility of a decrease in reliability due to congestion, sensor abnormality, or the like. For example, when the link on which the vehicle is located is in a congested state, the environment transmission unit 111 transmits environment information during congested conditions, adding reliability information to the effect that reliability may be lowered. . Whether or not the link on which the vehicle is located is congested is determined based on the most recent traffic congestion information acquired from the server device 200 .

Environmental information includes atmospheric information and road surface information. The atmospheric information is information on air resistance caused by atmospheric conditions, operating conditions of the air conditioner, and temperature changes of the battery. Atmospheric information includes, for example, temperature, humidity, atmospheric pressure, and wind speed. As the temperature and humidity, the temperature and humidity of the outside air acquired as the outside air information by the air conditioning ECU 103 are used. As the atmospheric pressure, the atmospheric pressure obtained by the atmospheric pressure sensor of the sensor group 106 is used. As the wind speed, a speed obtained by subtracting the vehicle speed obtained by the MGECU 104 from the relative wind speed obtained by the wind speed sensor of the sensor group 106 is used.

The road surface information is information regarding the magnitude of rolling resistance caused by road surface conditions. For the road surface information, a rolling resistance coefficient estimated based on, for example, an image captured by the camera of the sensor group 106 is used. The rolling resistance coefficient is determined based on a preset correspondence relationship between the road surface condition and the rolling resistance coefficient. The road surface conditions include the type of pavement such as porous pavement and concrete pavement, the presence or absence of unevenness such as cracks, and the presence or absence of puddles.

The route setting unit 112 sets a planned route along which the vehicle is to travel. The route setting unit 112 causes the HMI unit 102 to display the route obtained by the route search based on the destination set by the HMI unit 102 . The route setting unit 112 sets the route selected by the HMI unit 102 among the displayed routes as the scheduled route of the own vehicle. The scheduled route is composed of, for example, links along which the vehicle is scheduled to travel to the destination, and nodes scheduled to exit from each link. The route setting unit 112 also sets a predicted speed indicating a variation pattern of the speed of the own vehicle on each link and a predicted travel time required for traveling on each link.

The environment acquisition unit 113 acquires environment information on the planned route from the preceding vehicle that has traveled on the planned route. For example, when a scheduled route is set by the route setting unit 112, the environment acquisition unit 113 acquires environmental information for each link that constitutes the set scheduled route from the preceding vehicle that has traveled the link.

The environment acquisition unit 113 transmits to the server device 200 a request signal for setting environment information requested to be transmitted among the environment information stored in the server device 200 . The environment acquisition unit 113 acquires environment information returned from the server device 200 according to the request signal. The request signal includes extraction information, format information, and the like. The extraction information is information for extracting environment information returned from the environment information stored in the server device 200 . The extraction information includes section designation information, time designation information, exclusion setting information, and the like.

The section designation information is information for designating a link for requesting transmission of environment information and a running direction of the link. The section information includes, for example, the link ID of each requested link and the node ID of the node leaving the link.

The specified time information is information for excluding environmental information transmitted from preceding vehicles whose elapsed time from traveling the planned route is equal to or greater than a threshold from the environmental information requested to be transmitted. The environment acquisition unit 113 requests the exclusion of environment information to which time information that has elapsed time equal to or greater than the threshold, such as 30 minutes, is added.

The exclusion setting information is information for instructing whether or not to exclude environment information recorded as reliability information indicating that there is a risk of lowering reliability from environment information to be transmitted. The environment acquisition unit 113 requests the exclusion of the environment information to which the reliability information indicating that the reliability may be lowered is added, for example, the environment information during traffic congestion.

The format information is information for designating the format of environment information to be returned. The environment acquisition unit 113 specifies, for example, an average value, a median value, a mode value, etc., as a return format when a plurality of pieces of environment information are extracted for one link. The environment acquisition unit 113 returns environment information of an adjacent link adjacent to a blank link as a substitute for the environment information of the blank link as a form of return when there is a blank link from which environment information has not been extracted.

The temperature estimator 114 estimates the battery temperature of the vehicle on the planned route based on the acquired environmental information. The temperature estimator 114 estimates the battery temperature at each node on the planned route, for example, as the battery temperature on the planned route. The battery temperature at each node is estimated based on the battery temperature at the previous node, the temperature of the link from the previous node, and the running time of the link. The temperature estimating unit 114 estimates the battery temperature at each node using changes in the temperature of the vehicle's battery according to the temperature and elapsed time, which are stored in advance as tables, functions, or the like in the memory of the estimating device 110 .

The air-conditioning estimation unit 115 estimates the air-conditioning power consumption by the air-conditioning device of the own vehicle on the planned route based on the acquired environmental information. The air conditioning estimation unit 115 estimates air conditioning power consumption based on the temperature and humidity included in the environment information. The air-conditioning estimation unit 115 estimates the amount of air-conditioning power consumption consumed by the air-conditioning device from entering to leaving for each link as air-conditioning power consumption on the planned route.

The air-conditioning estimation unit 115 calculates the air-conditioning power consumption of each link, for example, based on the predicted running time of each link and the operation rate of the blower, compressor, heater, etc. in each link. The operating rate of each link is estimated based on the temperature and humidity received as environment information, the internal air information acquired by the air conditioning ECU 103, and the setting information.

The resistance estimation unit 116 estimates the running resistance of the own vehicle on the planned route based on the acquired environmental information. Running resistance is the rearward force acting on the vehicle including acceleration resistance, tilt resistance, air resistance, rolling resistance, and the like. Acceleration resistance is resistance due to inertial force that accompanies acceleration of the vehicle. The slope resistance is the resistance caused by the slope of the road surface. The resistance estimator 116 estimates at least one of air resistance and rolling resistance among the running resistance based on the environmental information. A resistance estimator 116 estimates air resistance based on temperature, air pressure, and wind speed. A resistance estimator 116 estimates rolling resistance based on the road surface information.

Air resistance Fa is represented by Fa=ρ×V×V×Cd×S/2 using relative wind speed V, air density ρ, air resistance coefficient Cd, and projected area S. The relative wind speed V is the relative wind speed toward the rear of the vehicle on the link calculated based on the wind speed on the link and the predicted speed. The air density ρ is the density of air in the link calculated based on the temperature and pressure of the link. The air resistance coefficient Cd is a coefficient for calculating a preset air resistance based on the shape of the vehicle and the area projected backward. The projected area S is the area of the vehicle projected backward.

The rolling resistance Fr is expressed by Fr=m×Cr using the weight m of the vehicle and the rolling resistance coefficient Cr of the link. The weight m is calculated, for example, based on the preset body weight of the own vehicle and the passenger weight according to the number of users detected by the seating sensor.

The cruising estimation unit 117 estimates cruising information related to the possible cruising distance. The cruising distance is the remaining distance that can be traveled by the remaining power of the battery of the own vehicle. For example, the cruising range estimating unit 117 estimates a distance obtained by integrating the distances of each link to a cruising node as the cruising range. The navigable node is the last node whose remaining battery power is predicted to be greater than or equal to a predetermined threshold. The cruising range estimation unit 117 displays the estimated cruising range as a navigation image. The remaining amount of power is estimated by subtracting the amount of power obtained by integrating the power consumption for air conditioning up to each node and the power consumption for running from the battery capacity.

Battery capacity decreases due to an increase in internal resistance of the battery as the battery temperature decreases. The cruising estimator 117 estimates the battery capacity at each node by correcting the preset battery rated capacity of the own vehicle based on the estimated battery temperature at each node, for example.

The power consumption for running is the amount of power consumed for outputting driving force by the motor generator in each link. The driving force output from the motor generator is estimated based on the running resistance applied to the own vehicle. The running power consumption is obtained by integrating the power consumption corresponding to the estimated driving force according to the running time of the link.

The operations of the server device 200 and the estimation device 110 will be described along the flow charts of FIGS. 2 and 3. FIG. The server device 200 periodically executes the process shown in FIG. 2 from step S11 (hereinafter, steps are omitted).

In S11, it is determined whether probe information from the electric vehicle 10 has been received. If received, proceed to S11; if not received, proceed to S13. In S12, the received probe information is stored in the database.

In S<b>13 , it is determined whether or not a request signal has been received from the electric vehicle 10 . If it has been received, the process proceeds to S14, and if it has not been received, the process shown in FIG. 2 ends. In S14, the environment information included in the probe information stored in the database is extracted according to the section information, time information, and exclusion information indicated by the received request signal, and the environment information to be transmitted to the electric vehicle is generated by statistical processing according to the format information. do. In S15, the environment information obtained in the process of S14 is transmitted to the electric vehicle 10 that transmitted the request signal, and the process shown in FIG. 2 is terminated.

The estimating device 110 executes the processing shown in FIG. In S21, the scheduled route is set, and the links along which the vehicle is scheduled to travel and the nodes scheduled to leave each link are specified.

At S22, a request signal is transmitted to the server device 200 according to the scheduled route set at S21. At S23, the environment information returned from the server device 200 is acquired in accordance with the request signal transmitted at S22.

In S24, the battery temperature on the planned route is estimated according to the acquired environmental information. In S25, the air conditioning power consumption in the planned route is estimated according to the acquired environmental information. In S26, the magnitudes of air resistance and rolling resistance on the planned route are estimated according to the acquired environmental information. In S27, the cruising distance is estimated based on the estimated battery temperature, air conditioning power consumption, air resistance, and rolling resistance.

At S28, it is determined whether or not the own vehicle has passed through the node. If it has passed, the process proceeds to S29, and if it has not passed, the process proceeds to S30. In S29, the probe information including the environment information of the link running before passing the node is transmitted to the server apparatus 200. FIG.

In S30, it is determined whether or not the vehicle has finished traveling due to arrival at the destination or the like. If it is finished, the process shown in FIG. 3 is finished, and if it is not finished, the process of S28 is performed again.

[Summary of embodiment]
According to the embodiment described above, the battery temperature of the electric vehicle 10 on the planned route is estimated based on the environment information acquired from the preceding vehicle that has traveled on the planned route. The cruising range estimating unit 117 that estimates cruising range information based on such battery temperature can correct variations in cruising range caused by variations in battery temperature on the planned route. Therefore, the estimating device 110 can suppress deterioration in accuracy of estimating the cruising range information related to the cruising range.

Further, according to the present embodiment, the air conditioning power consumption of the air conditioner of the electric vehicle 10 on the planned route is estimated based on the environment information acquired from the preceding vehicle that has traveled on the planned route. The cruising range estimating unit 117 that estimates cruising range information based on such air conditioning power consumption can correct variations in cruising range due to variations in air conditioning power consumption on the planned route. Therefore, the estimating device 110 can suppress deterioration in estimation accuracy of the cruising information related to the cruising range.

Further, according to the present embodiment, at least one of the air resistance and the rolling resistance on the planned route is estimated as the running resistance based on the environment information acquired from the preceding vehicle that has traveled on the planned route. The cruising range estimating unit 117 that estimates cruising range information based on such running resistance can correct variations in cruising range caused by variations in running resistance on the planned route. Therefore, the estimating device 110 can suppress deterioration in estimation accuracy of the cruising information related to the cruising range.

Furthermore, in this embodiment, as shown in FIG. 4, the environment acquisition unit 113 acquires the environment information of each of the links L2 and L4 forming the planned route from the preceding vehicle that has traveled on each of the links L2 and L4. Therefore, the cruising range estimating unit 117 can more accurately correct variations in the cruising range based on the environmental information for each link. Therefore, the estimating device 110 can further suppress deterioration in accuracy of estimating the cruising information.

In addition, in this embodiment, as shown in FIG. 4, the environment acquisition unit 113 acquires the environment information of the link L2 or link L3, which is the adjacent link, as the environment information of the link L1, which is a blank link. Therefore, the cruising range estimating unit 117 can continue cruising based on the environmental information of the adjacent links even when a plurality of links forming the planned route include blank links on which the preceding vehicle that can acquire the environmental information is not traveling. It can compensate for distance variations.

Further, in the present embodiment, the environment acquisition unit 113 does not acquire environment information from preceding vehicles that have traveled the respective scheduled routes for an elapsed time equal to or greater than the threshold, among the preceding vehicles that have traveled the planned routes. Therefore, the estimating device 110 is less likely to cause deterioration in the accuracy of estimating the continuance due to changes in the driving environment over time.

Further, in the present embodiment, the environment acquisition unit 113 does not acquire environment information during traffic congestion. Therefore, in the environment information acquired by the environment acquisition unit 113, errors caused by vehicles other than the preceding vehicle are suppressed.

In this embodiment, a link corresponds to a "road section", a blank link to a "blank road section", and an adjacent link to an "adjacent road section".

<Other embodiments>
Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the above-described embodiments, and the following modifications are also included in the technical scope of the present disclosure. Various changes can be made within a range that does not deviate. In the following description, the elements having the same reference numerals as the reference numerals used so far are the same as the elements having the same reference numerals in the previous embodiments unless otherwise specified. Moreover, when only part of the configuration is described, the previously described embodiments can be applied to the other portions of the configuration.

In the above-described embodiment, the estimating device 110 performs the function of estimating the cruising range. However, some or all of the functions may be performed by devices other than the estimation device 110 . For example, the battery ECU 105 may function as the temperature estimation unit 114 , the air conditioning ECU 103 may function as the air conditioning estimation unit 115 , and the MGECU 104 may function as the resistance estimation unit 116 . Further, the configuration may be such that server device 200 exhibits a function for estimating the cruising range.

In the above-described embodiment, the estimation device 110 estimates all of the battery temperature, air conditioning power consumption, and running resistance based on environmental information, and uses them to correct the cruising range. However, for example, only one of them may be estimated based on environmental information and used to estimate the cruising range.

In the above-described embodiment, the function of the environment transmission unit 111 is exhibited in the electric vehicle 10 that uses only the motor generator as the drive source. However, the function as the environment transmission unit 111 may be exhibited in a vehicle using an internal combustion engine as a drive source. That is, the vehicle used for collecting environmental information in the traffic information system 1 is not limited to the electric vehicle 10 . Further, the environment transmitting unit 111 in such a vehicle may use the air density calculated for air-fuel ratio control by the engine ECU that controls the internal combustion engine as atmospheric information for calculating the air resistance instead of the air pressure. good.

In the above-described embodiment, the environment transmitter 111 generates environment information for estimating air resistance and rolling resistance using the wind speed and air pressure acquired by the sensor group 106, the image of the road surface, and the like. However, the method of generating environmental information for estimating air resistance and rolling resistance is not limited to this. For example, the total air resistance and rolling resistance estimated from the relationship between the acceleration of the vehicle and the driving force required for the motor generator may be transmitted as environment information. Alternatively, the estimated air resistance, rolling resistance, and the like may be substituted into a function for calculating air resistance and rolling resistance to estimate air density, wind speed, rolling resistance coefficient, and the like.

In the above-described embodiment, the environment acquisition unit 113 acquires the environment information when traveling in the same direction as the traveling direction of the own vehicle. However, the environment information to be acquired may include environment information when traveling in the direction opposite to the traveling direction. In this case, for example, the wind speed transmitted from a vehicle traveling in the direction opposite to the direction of travel may be treated as having the opposite sign.

In the above-described embodiment, the estimating device 110 is configured to transmit environmental information to the server device 200 each time a node is passed, acquire the environmental information from the server device 200 when setting the planned route, and estimate the cruising information. there were. However, the transmission/reception timing of environmental information and the method of transmitting/receiving environmental information between vehicles can be changed as appropriate. Further, the estimation device 110 may be configured to periodically acquire the environmental information and estimate the cruising range information even while traveling on the planned route. According to this configuration, it is possible to more accurately correct fluctuations in the cruising range by estimating based on the environmental information acquired after setting the planned route.

In the above-described embodiment, when a blank link exists, the estimation device 110 replaces the environment information of the blank link with the environment information of the adjacent link. However, the environment information of the blank link may be replaced by the standard environment information preset as the environment state of the standard link.

In the above-described embodiment, the cruising range estimating unit 117 estimates the cruising range to a cruising node and displays it on the navigation image. However, instead of estimating and displaying the cruising distance, a link to a cruising node on the planned route may be displayed on the navigation image as a range indicating the cruising distance.

In the above-described embodiment, the environment acquisition unit 113 does not acquire environment information during traffic congestion. However, the environmental conditions may be acquired regardless of whether the vehicle is in a traffic jam or the like, and whether or not to use the acquired environmental information for estimating the battery temperature, air conditioning power consumption, and running resistance may be determined.

10 electric vehicle 110 estimating device 113 environment acquiring unit 114 temperature estimating unit 115 air conditioning estimating unit 116 resistance estimating unit 117 cruising range estimating unit

Claims (6)

Atmospheric information indicating the state of the atmosphere on the scheduled route and a rolling resistance coefficient corresponding to the type of pavement are obtained from the preceding vehicle that has traveled on the scheduled route on which the electric vehicle (10) is scheduled to travel, as environmental information on the scheduled route. an environment acquisition unit (113) that acquires at least road surface information indicating
a temperature estimation unit (114) for estimating the battery temperature of the electric vehicle on the planned route based on the environmental information;
a resistance estimation unit (116) that estimates running resistance on the planned route based at least on the road surface information included in the environment information;
an estimating device, comprising: a range estimating unit (117) that estimates cruising information related to the cruising range of the electric vehicle on the scheduled route based on the battery temperature and the running resistance; Air conditioning consumption of an air conditioner of the electric vehicle on the planned route based on the environmental information
Further comprising an air conditioning estimation unit (115) for estimating electric power,
The estimating device according to claim 1, wherein the cruising range estimating unit estimates the cruising range information based on the air conditioning power consumption. The estimation device according to claim 1 or 2 , wherein the environment acquisition unit acquires the environment information for each of a plurality of road sections forming the planned route from the preceding vehicle that has traveled the road section. 4. The environment acquisition unit acquires the environment information of an adjacent road section adjacent to the blank road section as the environment information of the blank road section in which the environment information cannot be acquired from the preceding vehicle among the road sections . The estimating device described in . 5. The environment acquisition unit does not acquire the environment information during traffic congestion from the preceding vehicle.
The estimation device according to any one of . 2. The environment acquisition unit does not acquire the environment information from the preceding vehicle that has traveled the planned route for an elapsed time equal to or greater than a threshold, among the preceding vehicles that have traveled the planned route.
6. The estimating device according to any one of 1 to 5 .

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