Nothing Special   »   [go: up one dir, main page]

CN115222161A - Method, apparatus, and medium for managing demand response of electric vehicle - Google Patents

Method, apparatus, and medium for managing demand response of electric vehicle Download PDF

Info

Publication number
CN115222161A
CN115222161A CN202211137009.8A CN202211137009A CN115222161A CN 115222161 A CN115222161 A CN 115222161A CN 202211137009 A CN202211137009 A CN 202211137009A CN 115222161 A CN115222161 A CN 115222161A
Authority
CN
China
Prior art keywords
electric vehicle
demand response
preset
charging
determination condition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211137009.8A
Other languages
Chinese (zh)
Other versions
CN115222161B (en
Inventor
焦阳
胡学忠
裴宇豪
李启才
王海斌
梁峰
史立峰
张捷
杨跃平
周磊
何春光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ningbo Sanming Electric Power Development Co ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
Ningbo Sanming Electric Power Development Co ltd
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ningbo Sanming Electric Power Development Co ltd, Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical Ningbo Sanming Electric Power Development Co ltd
Priority to CN202211137009.8A priority Critical patent/CN115222161B/en
Publication of CN115222161A publication Critical patent/CN115222161A/en
Application granted granted Critical
Publication of CN115222161B publication Critical patent/CN115222161B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • 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
    • Y02T10/70Energy storage systems for electromobility, e.g. 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
    • Y02T90/12Electric charging stations

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Educational Administration (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention provides a method, a device and a medium for managing demand response of an electric vehicle, wherein the method for managing demand response of the electric vehicle comprises the following steps: acquiring position information, running direction and residual electric quantity information of the electric vehicle; calculating and determining a first distance from the electric vehicle to the charging pile through the position information; the first determination condition includes: judging whether the residual electric quantity information is in a preset electric quantity range or not; the second determination condition includes: judging whether the first distance is greater than a first preset value; the third determination condition includes: judging whether the running direction meets a first preset direction or not; and when the first determination condition, the second determination condition and the third determination condition are all determined to be yes, sending a request for a demand response to the electric vehicle. The problem solved by the invention is how to more accurately screen out users qualified to participate in a demand response event.

Description

Method, apparatus, and medium for managing demand response of electric vehicle
Technical Field
The invention relates to the technical field of new energy vehicles, in particular to a method for managing demand response of an electric vehicle.
Background
As the population grows, the use of power by electronic devices used by consumers is also increasing at the same time, wherein in the related art, power department companies can increase the power supply by bringing additional generators online, but there is a limit to the power supply that can be achieved on the utility side with respect to the supply and demand of electric power. Therefore, when the consumer is associated with the electronic device, the consumer can send the demand response signal to the consumer to request the consumer to participate in the demand response event, and the consumer participating in the demand response event can change the power consumption or use by postponing the originally required power task, specifically to the use scene, that is, after the user of the electric vehicle receives the request of the demand response event, the user can actively abandon the charging task of the electric vehicle, so that certain reward compensation can be obtained subsequently.
However, in some specific cases, when the electric quantity of the electric vehicle is low, it is obviously not good for the user to participate in the demand response event when the user receives the signal of the demand response request. When the electric quantity of some electric vehicles is less, the corresponding user receives a signal of a demand response request at the moment, and the user selects to receive a demand response event due to subsequent reward compensation.
Therefore, how to more accurately screen out the users qualified to participate in the demand response event becomes an urgent problem to be solved.
Disclosure of Invention
The problem solved by the invention is how to more accurately screen out users qualified to participate in a demand response event.
To solve the above problems, the present invention provides a method for managing demand response of an electric vehicle, comprising: acquiring position information, running direction and residual electric quantity information of the electric vehicle; calculating and determining a first distance from the electric vehicle to the charging pile through the position information; the first determination condition includes: judging whether the residual electric quantity information is in a preset electric quantity range or not; the second determination condition includes: judging whether the first distance is greater than a first preset value; the third determination condition includes: judging whether the running direction meets a first preset direction or not; and when the first determination condition, the second determination condition and the third determination condition are all determined to be yes, sending a request for a demand response to the electric vehicle.
Compared with the prior art, the effect that this scheme can reach: the electric vehicle in this embodiment needs to satisfy the first determination condition, the second determination condition, and the third determination condition at the same time, that is, when all three determination conditions need to be combined to determine yes, the corresponding electric vehicle only satisfies the signal capable of receiving the demand response request sent by the server at this time, so that the user group capable of receiving the signal of the demand response request can be further accurately determined, the signal for sending the demand response request to the user who does not satisfy the qualification is reduced, traffic congestion caused by the fact that the user who does not satisfy the qualification accepts the demand response request is reduced, and meanwhile, influence of the user on self travel caused by the fact that the user accepts the demand response request is reduced.
In an embodiment of the present invention, determining whether the remaining power information is in a preset power range includes: judging whether the residual electric quantity information is in a first preset range or not; if yes, the first judgment condition is judged as yes; if not, continuously judging whether the residual electric quantity information is in a second preset range; if the residual electric quantity information is out of the second preset range; the first determination condition is determined as no; if the residual electric quantity information is in a second preset range; acquiring a charging record of the electric vehicle; fitting a line graph of the charging rule of the electric vehicle through the charging record; controlling the judgment result of the first judgment condition according to the charging rule; wherein the value of the second preset range is lower than the value of the first preset range.
Compared with the prior art, the effect that this scheme can reach: the method in the embodiment can determine whether the user is qualified to participate in the demand response event more accurately.
In one embodiment of the present invention, controlling the determination result of the first determination condition according to the line graph of the charging law includes: judging whether the electric vehicle has a charging habit in the current response time period or not according to the charging rule; if the electric vehicle is judged to have the charging habit in the current response time period, judging whether the first judgment condition is negative; if it is determined that the electric vehicle does not have the charging habit within the current response period, the first determination condition is determined as yes.
Compared with the prior art, the effect that this scheme can reach: the method in the embodiment can more accurately determine the users qualified to participate in the demand response time.
In one embodiment of the present invention, whether there is a charging habit includes: whether the number of charges of the electric vehicle satisfies a second preset value within one unit of the response time period.
Compared with the prior art, the effect that this scheme can reach: whether the electric vehicle has the charging habit or not within a certain time period can be more accurately determined, and therefore the misjudgment situation of the first judgment condition is reduced.
In one embodiment of the invention, the linear distance from the electric vehicle to the charging pile forms an X axis of a coordinate system, and the direction from the electric vehicle to the charging pile is taken as the positive direction of the X axis; the first preset direction includes: a positive direction of the X-axis and a direction deviating from the first angle on the basis of the positive direction of the X-axis.
Compared with the prior art, the effect that this scheme can reach: the method in the embodiment can more accurately determine the users qualified to participate in the demand response time.
In one embodiment of the invention, the running time of the electric vehicle, the running direction of which meets a first preset direction, is detected within a unit time; calculating a first proportion of the travel time in unit time; judging whether the first occupation ratio is larger than or equal to a first preset occupation ratio or not; if the judgment result is yes, the running direction meets a first preset direction; if not, the running direction does not meet the first preset direction.
Compared with the prior art, the effect that this scheme can reach: when the electric vehicle has a change in the running direction only at a certain time point or within a short period of time, the third determination condition will not be satisfied, so the method in this embodiment can further reduce the erroneous determination of the third determination condition.
In one embodiment of the invention, the determining a first distance from the electric vehicle to the charging pile through position information calculation comprises: constructing a coordinate system according to the area which can be covered by the request of the demand response; acquiring coordinate point positions (X1, Y1) of the electric vehicle, and acquiring coordinate point positions (X2, Y2) of the charging pile; obtaining the value of the length from the electric vehicle to each road section in the shortest line of the charging pile, and recording the value as t 1 、t 2 ……t n
Figure DEST_PATH_IMAGE001
(ii) a Wherein, H is the value of the first distance, the unit is meter, and n corresponds to the nth road.
Compared with the prior art, the effect that this scheme can reach: the method in the embodiment can further reduce the discrimination error caused by the single distance length.
In one embodiment of the present invention, there is provided a control device, the control device being installed in a charging pile and being used for implementing the method according to any one of the above embodiments, the control device comprising: the detection component is used for detecting and acquiring the position information, the running direction and the residual electric quantity information of the electric vehicle; the processor component is used for processing the position information, the running direction information and the residual electric quantity information; the judgment component is used for judging the result of the judgment condition; a control component for signaling a request for a demand response.
Compared with the prior art, the effect that this scheme can reach: the control device in this embodiment can execute the control method in any of the embodiments described above, so that the beneficial effects of any of the embodiments described above are achieved, and are not described herein again.
In one embodiment of the present invention, the control apparatus further comprises: the solar charging component is electrically connected with the detection component, the processor component, the judgment component and the control component.
Compared with the prior art, the effect that this scheme can reach: the control device in this embodiment can charge through the solar charging subassembly, and can carry out daily or supply power emergently to control device through the solar charging subassembly.
In an embodiment of the invention, there is provided a readable storage medium on which a program or instructions are stored, which when executed by a processor, implement the steps of the method as in any one of the above embodiments.
Compared with the prior art, the effect that this scheme can reach: the readable storage medium is used for implementing the steps of the method according to any embodiment of the present invention, so that the readable storage medium has all the advantages of the method according to any embodiment of the present invention, and thus, the detailed description thereof is omitted.
Drawings
FIG. 1 is a flow chart of steps of a method for managing demand response of an electric vehicle in some embodiments;
FIG. 2 is an expanded flow chart of step S301 in some embodiments;
FIG. 3 is a dotted line graph of the charging law of an electric vehicle in some embodiments;
FIG. 4 is a schematic view of a first predetermined orientation in some embodiments;
fig. 5 is a schematic structural view of the control device mounted on the charging pile;
FIG. 6 is a cross-sectional view of a control device in some embodiments;
description of reference numerals:
1. a control device; 10. a detection component; 20. a processor component; 30. a judging component; 40. a control component; 50. a solar charging assembly; 2. fill electric pile.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments thereof are described in detail.
The first embodiment is as follows:
the present embodiments provide a method for managing demand response of an electric vehicle, comprising: s10, acquiring position information, running direction and residual electric quantity information of the electric vehicle; s20, calculating and determining a first distance from the electric vehicle to the charging pile through the position information; s301 the first determination condition includes: judging whether the residual electric quantity information is in a preset electric quantity range or not; s302 the second determination condition includes: judging whether the first distance is larger than a first preset value or not; s303 the third determination condition includes: judging whether the running direction meets a first preset direction or not; when the first determination condition, the second determination condition, and the third determination condition are all determined to be yes, S40 transmits a request for a demand response to the electric vehicle.
In this embodiment, referring to fig. 1, it is described how to accurately send a signal of a demand response request to an electric vehicle in a coverage area of the demand response request on the premise that the electric vehicles can receive the signal of the demand response request.
The electric power department company can generate a demand response signal through the central server to initiate a request for a demand response event, the central server can transmit the demand response signal to a server in the control device, the control device can be arranged in the charging pile, and the demand response signal is sent to the electric vehicle capable of participating in the demand response event through the server. Similarly, the electric vehicle may receive the request signal of the demand response event by using the application software installed on the vehicle or the mobile phone application software corresponding to the electric vehicle, and the user may select to accept or reject the request of the demand response event. In this embodiment, position information of the electric vehicle needs to be acquired first, a value of a first distance from the electric vehicle to the charging pile is calculated through the position information, the first distance is specifically a length value, the first preset value is a factory preset value of the control device, and the first preset value can be set according to an actual applicable environment, so that the first preset value is selected to be more suitable for road traffic conditions of a coverage area.
In the first determination condition, the remaining power information of the electric vehicle needs to be acquired to determine whether the remaining power of the electric vehicle is within a preset power range, the preset power range is also a factory default, and the electric vehicle can be set and selected by a user so that the preset power range better conforms to a specific implementation scene. The preset electric quantity range is a specific range of electric quantity, and has an upper limit value and a lower limit value, and whether the residual electric quantity information is in the preset electric quantity range is judged, wherein the preset electric quantity range includes the upper limit value and the lower limit value, that is, when the residual electric quantity of the electric vehicle is the upper limit value or the lower limit value of the preset electric quantity range, the judgment condition that the residual electric quantity is in the preset electric quantity range is met.
Further, the third determination condition includes determining whether the running direction of the electric vehicle meets a first preset direction, and similarly, the first preset direction is a factory default and can be set by a user, so that the first preset direction better meets a specific implementation scenario. When the running direction of the vehicle is obvious and the vehicle runs in the direction far away from the charging pile, namely the electric vehicle is judged to have no charging intention at the moment, the third judgment condition is not met at the moment.
The electric vehicle in this embodiment needs to satisfy the first determination condition, the second determination condition, and the third determination condition at the same time, that is, when all three determination conditions need to be combined to determine yes, the corresponding electric vehicle only satisfies a signal capable of receiving the demand response request sent by the server at this time, so that a user group capable of receiving the signal of the demand response request can be further accurately determined, a signal for sending the demand response request to a user who does not satisfy the qualification is reduced, a traffic jam situation caused by the fact that the user who does not satisfy the qualification accepts the demand response request is reduced, and meanwhile, an influence of the user on a trip due to the fact that the user accepts the demand response request is reduced.
The second embodiment:
specifically, referring to fig. 2, the step S301 of determining whether the remaining power information is in the preset power range includes: s3001, judging whether the residual electric quantity information is in a first preset range; if yes, S3011 determines the first determination condition as yes; if not, the step S3012 is executed to continuously determine whether the remaining power information is within a second preset range; if the residual electric quantity information is out of the second preset range; the process proceeds to step S3021 where the first determination condition is determined as no; if the residual electric quantity information is in a second preset range; step S3022 is executed to obtain a charging record of the electric vehicle, and a line graph of a charging rule of the electric vehicle is fitted through the charging record; controlling the judgment result of the first judgment condition according to the charging rule; wherein the value of the second preset range is lower than the value of the first preset range.
In this embodiment, the preset electric quantity range includes a first preset range and a second preset range, and a lower limit of the first preset range is equal to an upper limit of the second preset range, where the first preset range is a closed interval, and the second preset range is an open interval, that is, when the remaining electric quantity information is in the lower limit of the first preset range, the determination condition that the remaining electric quantity information is in the first preset range is still satisfied, that is, the first determination condition is determined as yes.
When the remaining power information does not satisfy the first preset range, whether the remaining power information satisfies a second preset range or not is continuously judged, the second preset range is an alert power range relative to the first preset range, at the moment, the server calls a charging record of the electric vehicle, specifically, a dotted line graph of a charging rule of the electric vehicle can be fitted according to the charging record, and therefore whether the electric vehicle satisfies a first judgment condition or not in the current demand response event is judged, and whether the user has qualification to participate in the demand response event or not can be accurately determined.
Meanwhile, in the present embodiment, the first preset range is preferably an electric quantity range (closed interval) of 20% to 65%, and the second preset range is preferably 10% to 20% (open interval), wherein when the remaining electric quantity information is out of the second preset range, it indicates that the electric quantity of the electric vehicle is too low or too high, and the first determination condition is not satisfied at this time. Specifically, if the remaining capacity of the electric vehicle is too low, the user must select to charge the electric vehicle, otherwise the electric vehicle of the user cannot be used normally, if a signal of a request for a demand response event is sent to such a user, if a part of the users select to participate in the demand response event for rewarding after the demand response event, the electric vehicle of the user cannot be used continuously, and therefore road traffic and the route planning of the user are affected.
If the electric quantity of the electric vehicle is too high and is higher than the upper limit value of the first preset range, it is indicated that the electric quantity of the electric vehicle is relatively sufficient and stable at the moment and subsequent use of the electric vehicle is not influenced, therefore, the electric quantity of the electric vehicle does not meet the first judgment condition at the moment, the server does not send a signal of a request of a demand response event to the user, so that the user who does not need to be charged can be prevented from participating in the demand response event to gain a profit, and the pressure of subsequent power output of a power grid is reduced.
Example three:
referring to fig. 2, the determination result of the first determination condition is controlled according to the line graph of the charging rule, including: step S3031 determines whether the electric vehicle has a charging habit in the current response time period according to the charging rule; if the electric vehicle is judged to have the charging habit in the current response time period, the first judgment condition of step S3042 is judged as no; if it is determined that the electric vehicle does not have the charging habit in the current response period, the first determination condition of step S3041 is determined as yes.
In this embodiment, with reference to the second embodiment, the demand response event is a continuous process, and therefore, it is determined whether the electric vehicle has a charging habit in the current time period of the demand response event through the fitted dotted line graph of the charging rule, and when the electric vehicle has the charging habit in the current time period of the demand response event, it indicates that the user has a vehicle demand in the next duration, so that on the premise of not affecting the vehicle consumption experience of the user and not affecting the user's trip, for the user in the current time period of the demand response event, the determination result of the first determination condition is negative, that is, the part of the users currently does not satisfy the qualification for receiving the signal of the demand response event.
If the current time period of the demand response event is within the time period of the demand response event, the user does not have the charging habit, that is, the charging habit of the user is in the rest time period, and the user mostly has no vehicle demand in the next time period at this time, so the charging habit of the user is generally in the rest time period, therefore, when the electric vehicle of the user is within the second preset range, the first determination condition is still met, that is, the first determination condition is determined to be yes, the user has the qualification of receiving the signal of the demand response event, and meanwhile, because the request of the demand response event is bidirectional, when the user has a special condition in the next time, the user can be refused to participate in the demand response event, so that the journey of the subsequent user is not influenced, and therefore, the method in the embodiment can more accurately determine the user having the qualification of participating in the demand response event.
Example four:
whether the charging habit is possessed or not includes: whether the number of charges of the electric vehicle satisfies a second preset value within one unit of the response time period.
In the present embodiment, referring to fig. 3, a dotted line graph fitted by a charging law, the abscissa represents a time period in units of h (time), and the ordinate represents a charging number in units of: next, the process is carried out. In the embodiment, the charging time period of the electric vehicle is divided by the duration time period of the demand response event, and in the actual operation process, the charging time period can be set according to the actual situation. The charging times of the electric vehicle in the previous allowable storage period and distributed in each time period in one day are acquired, preferably, the allowable storage period in the present embodiment is preferably two months, that is, the charging times of the electric vehicle in each time period in one day in the last two months are acquired, where as can be seen from fig. 3, the electric vehicle in the present embodiment has eight charging records in the last two months, where the charging times have four times in 18 hours to 20 hours, two times in 14 hours to 16 hours, one time in 6 hours to 8 hours, and one time in 22 hours to 24 hours.
Therefore, in this embodiment, the second preset value is also a factory preset value, and can be set by itself according to the actual operating condition, wherein the second preset value in this embodiment is preferably three, one unit. Therefore, when the time period during which the demand response event lasts is within 18 th to 20 th, the number of times the electric vehicle is charged in this time period is four, so that the electric vehicle has a charging habit during the time period during which the demand response event currently lasts, and therefore the electric vehicle does not satisfy the first determination condition, the server will not send the signal of the demand response event to the user terminal.
If the time period during which the demand response time lasts is within 6 hours to 8 hours, the number of times of charging the electric vehicle in the time period is one, so that the electric vehicle does not have a charging habit during the time period during which the demand response event currently lasts, and therefore the electric vehicle satisfies the first determination condition.
Example five:
forming an X axis of a coordinate system by using the linear distance from the electric vehicle to the charging pile, and taking the direction from the electric vehicle to the charging pile as the positive direction of the X axis; the first preset direction includes: the positive direction of the X-axis and the direction deviating from the first angle alpha on the basis of the positive direction of the X-axis.
In this embodiment, a linear distance from the electric vehicle to the charging pile forms an X-axis, wherein the charging pile is the closest charging pile to the linear distance of the electric vehicle. Wherein, the direction of filling electric pile by electric vehicle is the positive direction of X axle, and first preset direction is the preset direction of leaving the factory equally, can adjust the setting by oneself according to operating condition. In this embodiment, referring to fig. 4, the first predetermined direction is specifically a direction range, wherein specifically, the first predetermined direction is mainly the positive direction of the X axis, and a direction deviating from the first angle α from the positive direction of the X axis is also included in the first predetermined direction, and the deviated first angle α is also set by itself according to specific working conditions, but the first angle α may not exceed 180 degrees, that is, based on the positive direction of the X axis, the first boundary direction and the second boundary direction are two boundary directions of the first predetermined direction, and are used for defining the range of the first predetermined direction, wherein the first boundary direction extends toward the upper direction, the second boundary direction extends toward the lower direction, a first angle α is formed between the first boundary direction and the second boundary direction, and similarly, a sum of the angle from the first boundary direction to the X axis and the angle from the second boundary direction to the X axis forms the first angle α, and the angle from the first boundary direction to the X axis may not exceed 90 degrees, and similarly, the angle from the second boundary direction to the positive direction does not exceed 90 degrees. Preferably, in the present embodiment, the first angle α is preferably 90 degrees, that is, an angle between the first boundary direction and the positive X-axis direction is preferably 45 degrees, and an angle between the second boundary direction and the positive X-axis direction is preferably 45 degrees.
When the running direction of the electric vehicle is within the range of the first preset direction, namely the electric vehicle runs towards the charging pile, namely the electric vehicle has a certain charging intention, and the electric vehicle meets a third judgment condition. And if the running direction of the electric vehicle is not in the range of the first preset direction, the electric vehicle does not meet the third judgment condition at the moment. Therefore, the method in the embodiment can more accurately determine the users qualified to participate in the demand response time.
Further, detecting the running time of the electric vehicle, wherein the running time meets the first preset direction in one unit time; calculating a first proportion of the travel time in unit time; judging whether the first occupation ratio is larger than or equal to a first preset occupation ratio or not; if the judgment is yes, the running direction meets a first preset direction; if not, the running direction does not meet the first preset direction.
It should be noted that, since the electric vehicle is continuously moving during the driving process, it is necessary to continuously detect the driving time of the electric vehicle meeting the first preset direction, and similarly, the unit time and the first preset proportion can be set by itself according to the actual situation, preferably, in this embodiment, the unit time takes a value of 20 minutes, the driving time of the electric vehicle meeting the first preset direction within 20 minutes is obtained, and the first proportion of the driving time within the unit time is calculated, wherein the influence on the driving direction caused by the road condition can be effectively reduced by appropriately lengthening the unit time. Preferably, in the present embodiment, the first preset proportion is preferably 60%, that is, if the electric vehicle has a travel time of 12 minutes within 20 minutes and is within the first preset direction, the third determination condition is satisfied at this time. Therefore, when the electric vehicle has a change in the traveling direction only at a certain time point or within a short period of time, the third determination condition will not be satisfied, and therefore the method in this embodiment can further reduce the erroneous determination of the third determination condition.
Example six:
determining a first distance from the electric vehicle to the charging pile through position information calculation, comprising: constructing a coordinate system according to the area which can be covered by the request of the demand response; the method comprises the steps of obtaining coordinate points (X1, Y1) of the electric vehicle, obtaining coordinate points (X2,y2); obtaining the value of the length from the electric vehicle to each road section in the shortest line of the charging pile, and recording the value as t 1 、t 2 ……t n
Wherein,
Figure 262565DEST_PATH_IMAGE001
(ii) a H is a value of the first distance, the unit is meter, and n corresponds to the nth road.
In the present embodiment, the coverage range of the signal of the request of the demand response event is determined, the coordinate system is constructed in the coverage range, preferably, the east-west direction is taken as the X axis of the coordinate system, and the north-south direction is taken as the Y axis of the coordinate system, and since the method in the present embodiment is applied to the regional urban network, the error caused by the earth surface in the constructed coordinate system in the present embodiment is ignored.
Specifically, the coordinates of the electric vehicle are marked as (X1, X2), and the corresponding coordinates of the charging pile are marked as (Y1, Y2), wherein further, the electric vehicle calculates from the current position to the position of the charging pile by WeChat positioning, usually, preferred lines are listed for the user to select, in this embodiment, the line calculation of the line Cheng Zuiduan among the lines is selected, wherein, according to different distribution of urban road grids of each place, the distance between two points is formed by at least one section of road, the corner generated by the road is marked as one section of road, specifically, the length of each section of road is obtained by satellite positioning detection, and in the case of only one section of road, the value of the length of the changed road is marked as t 1, Y2 1 When two points are formed by multiple sections of roads, the length value of the first section of road is t 1 The value of the length of the second road section corresponds to t 2 The value of the length of the nth road corresponds to t n
Wherein, particularly, when the shortest route between the charging pile and the electric vehicle is formed by five sections of roads, then
Figure DEST_PATH_IMAGE002
I.e. the value of the shortest line is t 1 +t 2 +t 3 +t 4 +t 5 The sum of (1).
Wherein, if only the length of the road between the electric vehicle and the charging pile is calculated, a single length calculation will bring a larger actual operation error, which will make the determination condition in the method less accurate, wherein, it is specifically noted that,
Figure DEST_PATH_IMAGE003
represents the euclidean distance between the electric vehicle and the charging pile,
Figure DEST_PATH_IMAGE004
indicating the manhattan distance between the electric vehicle and the charging pile, that is, the city block distance,
Figure DEST_PATH_IMAGE006
the distance between the electric vehicle and the charging pile is represented as a non-Euclidean distance, namely the sum of the lengths of the sections of roads with different directions, the length value of the first section of road is accumulated to the length value of the nth section of road, and the Euclidean distance, the Manhattan distance and the non-Euclidean distance are added to reduce the error caused by the length of a single distance. Wherein, it is more directly perceived to open the root number so that H's calculated value to the calculated result, can make things convenient for H's calculated value to be convenient for simultaneously and compare with first default, and is the same, and first default is the default that dispatches from the factory equally, can carry out self-setting according to actual operating condition.
The method in this embodiment can further reduce the discrimination error caused by a single distance length.
Example seven:
in this embodiment, referring to fig. 5 to 6, a control device 1 is provided, where the control device 1 is installed in a charging pile 2, and the control device 1 is used for implementing the method in any one of the above embodiments, and the control device 1 includes: the detection component 10 is used for detecting and acquiring position information, running direction and residual electric quantity information of the electric vehicle by the detection component 10; the processor assembly 20, the processor assembly 20 is used for processing the position information, the running direction information and the residual capacity information; a judging component 30, wherein the judging component 30 is used for judging the result of the judging condition; a control component 40, the control component 40 being adapted to signal a request for a demand response.
Further, referring to fig. 5, the control device 1 further includes: the solar charging component 50, the solar charging component 50 is electrically connected with the detection component 10, the processor component 20, the judgment component 30 and the control component 40. In the embodiment, the solar charging component 50 is a solar panel, and the solar panel can convert the absorbed solar energy into a certain electric energy to be stored, so as to be used for daily work of each component in the control device 1. In this embodiment, the solar panel has a small area, so that the control module 40 can only be used in daily or emergency.
Example eight:
in this embodiment, a readable storage medium is provided, on which a program or instructions are stored, which when executed by a processor implement the steps of the method as in any one of the above embodiments.
The readable storage medium may be any combination of one or more readable media, which may be a readable signal medium or a readable storage medium, and may include, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the readable storage medium include: an electrical connection having one or more wires, a portable diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (10)

1. A method for managing demand response of an electric vehicle, comprising:
acquiring position information, running direction and residual electric quantity information of the electric vehicle;
calculating and determining a first distance from the electric vehicle to a charging pile according to the position information;
the first determination condition includes: judging whether the residual electric quantity information is in a preset electric quantity range or not;
the second determination condition includes: judging whether the first distance is larger than a first preset value or not;
the third determination condition includes: judging whether the running direction meets a first preset direction or not;
transmitting the request for the demand response to the electric vehicle when the first determination condition, the second determination condition, and the third determination condition are all determined to be yes.
2. The method for managing demand response of an electric vehicle according to claim 1, wherein the determining whether the remaining capacity information is in a preset capacity range includes:
judging whether the residual electric quantity information is in a first preset range or not;
if yes, the first judgment condition is judged as yes;
if not, continuously judging whether the residual electric quantity information is in a second preset range;
if the residual electric quantity information is out of the second preset range;
the first decision condition is determined as no;
if the residual electric quantity information is in a second preset range;
acquiring a charging record of the electric vehicle;
fitting a line graph of the charging rule of the electric vehicle through the charging record;
controlling a judgment result of the first judgment condition according to the charging rule;
wherein the value of the second preset range is lower than the value of the first preset range.
3. The method for managing demand response of an electric vehicle according to claim 2, wherein the controlling the determination result of the first determination condition according to the charging law includes:
judging whether the electric vehicle has a charging habit in the current response time period or not according to the line graph of the charging rule;
if the electric vehicle is judged to have the charging habit in the current response time period, judging the first judgment condition to be no;
if the electric vehicle is judged not to have the charging habit in the current response time period, the first judgment condition is judged to be yes.
4. The method for managing demand response of an electric vehicle of claim 3, wherein the presence or absence of a charging habit comprises:
whether the number of charges of the electric vehicle satisfies a second preset value within one unit of response time period.
5. The method for managing demand response of an electric vehicle of claim 1,
forming an X axis of a coordinate system by using the linear distance from the electric vehicle to the charging pile, and taking the direction from the electric vehicle to the charging pile as the positive direction of the X axis;
the first preset direction includes: the positive direction of the X-axis and a direction deviating from a first angle on the basis of the positive direction of the X-axis.
6. The method for managing demand response of an electric vehicle of claim 5,
detecting running time of the electric vehicle, wherein the running direction of the electric vehicle meets a first preset direction, within a unit time;
calculating a first proportion of the travel time in the unit time;
judging whether the first occupation ratio is larger than or equal to a first preset occupation ratio or not;
if the judgment result is yes, the running direction meets the first preset direction;
if not, the running direction does not meet the first preset direction.
7. The method of claim 1, wherein computationally determining a first distance of the electric vehicle to a charging post from the location information comprises:
constructing a coordinate system according to the area which can be covered by the request of the demand response;
acquiring coordinate point positions (X1, Y1) of the electric vehicle, and acquiring coordinate point positions (X2, Y2) of the charging pile;
obtaining the length value of each road from the electric vehicle to the shortest line of the charging pile, and recording the length value as t 1 、t 2 ……t n
Figure 378552DEST_PATH_IMAGE001
And H is the value of the first distance, the unit is meter, and n corresponds to the nth road.
8. A control device, wherein the control device is installed in a charging pile, and the control device is used for implementing the method for managing demand response of an electric vehicle as claimed in any one of claims 1 to 7, the control device comprising:
the detection component is used for detecting and acquiring position information, running direction and residual electric quantity information of the electric vehicle;
a processor component for processing the location information, the direction of travel, and the remaining power information;
the judgment component is used for judging the result of the judgment condition;
a control component for signaling a request for a demand response.
9. The control device according to claim 8, characterized by further comprising:
and the solar charging component is electrically connected with the detection component, the processor component, the judgment component and the control component.
10. A readable storage medium, characterized in that it stores thereon a program or instructions which, when executed by a processor, implement the steps of a method for managing the demand response of electric vehicles as claimed in any one of claims 1 to 7.
CN202211137009.8A 2022-09-19 2022-09-19 Method, apparatus, and medium for managing demand response of electric vehicle Active CN115222161B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211137009.8A CN115222161B (en) 2022-09-19 2022-09-19 Method, apparatus, and medium for managing demand response of electric vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211137009.8A CN115222161B (en) 2022-09-19 2022-09-19 Method, apparatus, and medium for managing demand response of electric vehicle

Publications (2)

Publication Number Publication Date
CN115222161A true CN115222161A (en) 2022-10-21
CN115222161B CN115222161B (en) 2022-12-09

Family

ID=83616823

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211137009.8A Active CN115222161B (en) 2022-09-19 2022-09-19 Method, apparatus, and medium for managing demand response of electric vehicle

Country Status (1)

Country Link
CN (1) CN115222161B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140163757A1 (en) * 2012-12-11 2014-06-12 Kabushiki Kaisha Toshiba Energy management server, energy management method, and medium
CN107306295A (en) * 2016-04-21 2017-10-31 本田技研工业株式会社 Demand response signal based on covering
CN109460853A (en) * 2018-09-29 2019-03-12 中国电力科学研究院有限公司 A kind of electric car charging workload demand determines method and system
CN112238783A (en) * 2019-07-16 2021-01-19 丰田自动车株式会社 Notification controller and electric vehicle
CN114665460A (en) * 2020-12-22 2022-06-24 丰田自动车株式会社 Power management device and power management method
CN114784811A (en) * 2022-04-13 2022-07-22 深圳市建筑科学研究院股份有限公司 Power demand response method and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140163757A1 (en) * 2012-12-11 2014-06-12 Kabushiki Kaisha Toshiba Energy management server, energy management method, and medium
CN107306295A (en) * 2016-04-21 2017-10-31 本田技研工业株式会社 Demand response signal based on covering
CN109460853A (en) * 2018-09-29 2019-03-12 中国电力科学研究院有限公司 A kind of electric car charging workload demand determines method and system
CN112238783A (en) * 2019-07-16 2021-01-19 丰田自动车株式会社 Notification controller and electric vehicle
CN114665460A (en) * 2020-12-22 2022-06-24 丰田自动车株式会社 Power management device and power management method
CN114784811A (en) * 2022-04-13 2022-07-22 深圳市建筑科学研究院股份有限公司 Power demand response method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
NA LI ET AL.: ""Demand Response Using Linear Supply Function Bidding"", 《IEEE TRANSACTIONS ON SMART GRID》 *
陆俊 等: ""计及用电行为聚类的智能小区互动化需求响应方法"", 《电力系统自动化》 *

Also Published As

Publication number Publication date
CN115222161B (en) 2022-12-09

Similar Documents

Publication Publication Date Title
US9132742B2 (en) Electric vehicle (EV) charging infrastructure with charging stations optimumally sited
JP4987054B2 (en) Reverse power flow reduction system and reverse power flow reduction method
US20120181982A1 (en) Localized Charging of Electric Vehicles
JP6663514B2 (en) Moving object control device and moving object control method
KR101904831B1 (en) Intellgent building management system and method for controlling thereof
CN109816874A (en) Determining rental device, determining rental method and system for determining rental
JP2021191133A (en) Virtual power plant controller
CN110189537B (en) Parking guidance method, device and equipment based on space-time characteristics and storage medium
CN115222161B (en) Method, apparatus, and medium for managing demand response of electric vehicle
CN110634192B (en) Parking lot lending device, parking lot lending system and parking lot lending method
CN111823923A (en) Charging management system and method of charging equipment
CN115511685A (en) Carbon dioxide emission reduction determination method, device, equipment and medium
CN109672199A (en) A kind of electric car peak load shifting capabilities method based on energy balance
JP2020119080A (en) Management device, management method and program
CN112078416A (en) Charging management system and method of charging equipment
CN116539046A (en) Information release method and device for smart campus, server and storage medium
CN114331138A (en) Price adjusting method for charging pile
CN114997734B (en) Scenic spot charging pile demand assessment method, system, equipment and storage medium
JP2022000579A (en) Machine learning device
CN113887834A (en) Intelligent management and control method and system for buses
CN112101677A (en) Public transport travel path planning method, device, equipment and storage medium
Deflorio et al. Assessing the performance of a charge‐while‐driving system in urban arterial roads: insight from a microsimulation model
CN116862134B (en) Method, device, medium and equipment for determining number of charging piles of electric bus station
US20240127369A1 (en) Method and Device for Generating Charging Price Signals for an Electric Charging Site
JP7552625B2 (en) Vehicle communication control device, vehicle communication control method, and computer program for vehicle communication control

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant