CN113910963A - Electric vehicle ordered charging control method, device and system and storage medium - Google Patents
Electric vehicle ordered charging control method, device and system and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/63—Monitoring or controlling charging stations in response to network capacity
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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Abstract
The embodiment of the invention discloses an orderly charging control method, device and system for an electric vehicle and a storage medium. The method comprises the steps of responding to an ordered charging instruction selected by a target user, and obtaining the energy supplementing requirement of the target user; determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information; and controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan. According to the technical scheme provided by the embodiment of the invention, the intelligent ordered charging plan is distributed to the target vehicles in the preset area, so that the charging requirements of the target vehicles in the preset area are met, the peak-valley period load of the power grid in the preset area is balanced, the power grid load is balanced, and the charging cost of a target user is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of electric vehicle charging, in particular to a method, a device and a system for controlling ordered charging of an electric vehicle and a storage medium.
Background
With the popularization and rapid development of new energy vehicles, the new energy vehicles have an increasingly large load brought by a power grid during charging. When the holding capacity of new energy vehicles is getting larger and larger, the charging infrastructure of the vehicles brings higher requirements to the power system, and also brings greater challenges to the planning and transformation of cities.
Based on the above background, there is an orderly charging concept, but the existing orderly charging is generally a strategy of performing peak clipping and valley filling from the perspective of the whole power grid, and cannot better adapt to the charging requirements of users.
The problem that the existing ordered charging strategy cannot adapt to the charging requirement of a user becomes a problem to be solved urgently in the industry.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a system for controlling ordered charging of an electric vehicle and a storage medium, which aim to solve the problem that the existing ordered charging strategy cannot adapt to the charging requirement of a user.
In order to realize the technical problem, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides an orderly charging control method for an electric vehicle, including:
responding to the ordered charging instruction selected by the target user, and acquiring the energy supplementing requirement of the target user; the energy supplementing requirement is determined based on historical traveling data of a corresponding target vehicle of a target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained by supplementing energy to a plurality of charging devices within set historical time based on the target vehicle;
determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information; the energy supplementing charge load distribution information is determined based on the power grid load distribution information corresponding to the target charging equipment;
and controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan.
Specifically, an ordered charging plan which better meets the power consumption requirement of the target user is determined according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information, and the target vehicle is charged in order according to the ordered charging plan. Therefore, under the condition that the power grid capacity allows, the power grid load is balanced, the energy supplementing requirements of target users corresponding to all target vehicles in the preset area can be balanced, a more reasonable ordered charging plan is determined, the target vehicles are charged in order, and the power consumption requirements of the target users are met.
An alternative embodiment, determining the complementary energy requirement of the target user, includes:
determining a daily travel amount of a target vehicle based on historical travel data of the target vehicle corresponding to the target user;
determining a charging habit of a target user based on historical energy supplementing data of a corresponding target vehicle of the target user;
establishing a power utilization model of the target vehicle corresponding to the target user based on the daily driving quantity of the target vehicle and the charging habit of the target user;
and determining the complementary energy requirement of the target vehicle based on the power utilization model of the corresponding target vehicle of the target user.
In an alternative embodiment, the establishing of the electricity usage model of the corresponding target vehicle of the target user includes:
determining a power utilization anxiety parameter of the target user based on the daily driving quantity of the target vehicle and the charging habit of the target user;
and determining the power utilization model of the target vehicle based on the power utilization anxiety parameter of the target user.
An alternative embodiment, determining the complementary energy requirement of the target vehicle based on the power utilization model of the corresponding target vehicle of the target user, comprises:
calculating the predicted lowest charging electric quantity, the optimal charging electric quantity, the predicted charging time and the price sensitivity coefficient of the target vehicle based on a regression algorithm according to the power utilization model of the target vehicle;
and determining the energy supplementing requirement of the user according to the predicted lowest charging quantity, the optimal charging quantity, the predicted charging duration and the price sensitivity coefficient of the target vehicle.
An optional implementation manner, before obtaining the energy supplementing requirement of the target user, further includes:
acquiring schedule information of a target user;
and updating the energy supplementing requirement of the corresponding target vehicle of the target user according to the schedule information of the target user.
Optionally, obtaining the energy supplement requirement of the target user includes:
predicting a departure time of a target vehicle based on historical travel data of the corresponding target vehicle of the target user;
and determining the complementary energy demand of the target user according to the leaving time of the target vehicle.
An optional implementation manner, determining an ordered charging plan according to the energy supplementing requirement and the energy supplementing charge load distribution information of the target user, includes:
acquiring the energy supplementing resource configuration requirement of a target user, wherein the energy supplementing resource configuration requirement is used for representing the energy supplementing requirements of the target user on different energy supplementing time points;
an ordered charging plan for charging the target vehicle is determined based on the energy replenishment resource allocation requirements prior to reaching the departure time of the target vehicle.
In a second aspect, an embodiment of the present invention provides an electric vehicle ordered charging control apparatus for executing the first aspect of any electric vehicle ordered charging control method;
an electric vehicle orderly charging control device comprising:
the energy supplementing requirement determining module is used for responding to the ordered charging instruction selected by the target user and obtaining the energy supplementing requirement of the target user, wherein the energy supplementing requirement is determined based on historical driving data of a corresponding target vehicle of the target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained after the target vehicle is subjected to energy supplementing in set historical time by a plurality of charging devices;
the ordered charging plan module is used for determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information, wherein the energy supplementing charge load distribution information is determined based on the power grid load distribution information corresponding to the target charging equipment;
and the charging execution module is used for controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan.
In a third aspect, an embodiment of the present invention provides an orderly charging control system for an electric vehicle, including: a second aspect electric vehicle orderly charging control device;
the electric vehicle ordered charging control system further includes: a charging terminal and a mobile terminal;
the mobile terminal is in communication connection with the electric vehicle ordered charging control device and is used for acquiring gesture operation acted on the mobile terminal by a user and generating an ordered charging instruction according to the gesture operation;
the electric vehicle ordered charging control device is in communication connection with the charging terminal, receives the ordered charging instruction and controls the charging terminal to charge the vehicle in order according to the ordered charging instruction.
In a fourth aspect, embodiments of the present invention provide a readable storage medium, where instructions when executed by a processor of an electric vehicle ordered charge control device enable the electric vehicle ordered charge control device to execute any of the electric vehicle ordered charge control methods of the first aspect.
The method for controlling the ordered charging of the electric vehicle determines the ordered charging plan suitable for the target user and the target vehicle according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information. Therefore, the target charging equipment is controlled to charge the target vehicle in order according to the ordered charging plan, and an intelligent ordered charging plan can be reasonably distributed to the target vehicle in the preset area without manually inputting relevant data for power supplement by a target user. On one hand, the power utilization requirements of target users in a preset area on target vehicles in the future day are met, and the load of a power grid is well balanced; on the other hand, the target vehicles are charged based on the determined ordered charging plan, ordered charging of all the target vehicles in the preset area can be balanced, peak-valley period load of a power grid in the preset area is well balanced, stability of the power grid is facilitated, and charging cost of target users is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the contents of the embodiments of the present invention and the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a terminal according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an orderly charging control system for an electric vehicle according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for controlling orderly charging of an electric vehicle according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for determining an energy supplement requirement of a target user in an ordered charging control method for an electric vehicle according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for determining the energy supplement requirement of a target user in another method for controlling ordered charging of an electric vehicle according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another orderly charging control system for an electric vehicle according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
As mentioned in the background art, the existing ordered charging only considers the problem of the grid load and carries out the strategy of peak clipping and valley filling, but the charging requirement of the target user is not suitable, for example, the target user temporarily needs to go out 1 hour earlier, the charging capacity of the target vehicle may not meet the electricity requirement of the target user, and the journey of the target user is delayed. The embodiment of the invention provides an orderly charging control method for an electric vehicle under the condition that the charging electric quantity of a target vehicle does not meet the power consumption requirement of a target user due to the fact that the travel of the target user is changed, so as to solve the problem that the existing orderly charging strategy is not suitable for the charging requirement of the target user.
Based on the above technical problem, the present embodiment proposes the following solutions:
the embodiment of the invention provides an orderly charging control system of an electric vehicle. The electric vehicle ordered charging control system can be arranged on terminal equipment (for short, a terminal) so that the terminal equipment has the ordered charging function. This terminal can be terminal equipment such as vehicle, unmanned aerial vehicle, railcar or bicycle, and perhaps, electric vehicle charging control device in order sets up on the terminal, and the part of electric vehicle charging control system in order except that electric vehicle charging control device in order sets up in charging pile or high in the clouds server etc. does not do the restriction here.
The following description will be given taking an example in which the terminal includes a vehicle.
In some vehicle charging scenarios, an ordered charging plan of a target vehicle needs to be determined according to different energy supplement requirements of a target user, and the target vehicle needs to be charged in order.
The embodiment of the invention provides an orderly charging control device of an electric vehicle, which is used for executing the orderly charging control method of the electric vehicle. Fig. 1 is a schematic structural diagram of a terminal according to an embodiment of the present invention. Referring to fig. 1, an electric vehicle 300 according to an embodiment of the present invention includes an electric vehicle ordered charging control apparatus 10, and the electric vehicle ordered charging control apparatus 10 is configured to execute an electric vehicle ordered charging control method. The ordered charging control device 10 for the electric vehicle comprises an energy supplementing requirement determining module 21, an ordered charging plan module 22 and a charging execution module 23. The energy complementing requirement determining module 21 is configured to obtain an energy complementing requirement of the target user in response to the ordered charging instruction selected by the target user. The energy supplementing requirement is determined based on historical traveling data of a corresponding target vehicle of a target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained by supplementing energy of a plurality of charging devices within a set historical time based on the target vehicle. The ordered charging plan module 22 is configured to determine an ordered charging plan according to the energy supplementing requirement and the energy supplementing charge load distribution information of the target user. The energy supplementing charge load distribution information is determined based on the power grid load distribution information corresponding to the target charging equipment. The charging execution module 23 is configured to control the target charging device to perform ordered charging on the target vehicle according to the ordered charging plan.
Specifically, the target user is a user corresponding to a target vehicle that needs to be charged. The energy supplementing requirement comprises relevant requirement parameters of the target user in the aspects of charging electric quantity, charging time length, charging time period, charging price coefficient and the like when the target vehicle is charged. The historical driving data comprises data such as total driving mileage, daily average driving mileage and driving mileage of the target vehicle in a preset historical time period. The historical energy supplementing data comprises a time period for supplementing energy of the target vehicle in a preset historical time period, corresponding energy supplementing amount in the energy supplementing time period and other data.
The energy supplement demand determination module 21 may determine the energy supplement demand according to the travel data and the energy supplement data of the target vehicle within a preset historical time. The historical driving data and the historical energy supplementing data can be obtained by summarizing the energy supplementing of the target vehicle on a plurality of charging devices within the set historical time. A plurality of charging devices may be connected to the internet of vehicles to collect historical energy replenishment data for the target vehicle. Optionally, a plurality of charging devices may also collect historical complementary energy data of the target vehicle in a manner of mutual communication, for example, one charging device is a master device, and the other charging devices are slave devices, and transmit data to the master device, or transmit data through a block chain technique.
Specifically, the energy supplementing charge load distribution information is determined according to the power grid load distribution information, and the energy supplementing charge load distribution information includes energy supplementing distribution information which can meet the energy supplementing requirement of the target user under the condition that the power grid load is balanced as much as possible. The ordered charging schedule module 22 may determine the ordered charging schedule according to the energy supplementing requirement and the energy supplementing charge load distribution information of the target user. After the ordered charging plan is determined, the charging execution module 23 controls the target charging device to charge the target vehicle in order.
Fig. 2 is a schematic structural diagram of an orderly charging control system for an electric vehicle according to an embodiment of the present invention. With reference to fig. 1 and fig. 2, the ordered charging control system 40 for an electric vehicle according to the embodiment of the present invention further includes a charging terminal 41 and a mobile terminal 42. The charging terminal 41 may include a target charging device, and the target charging device may be a charging pile and a charging gun connected to the charging pile, where the target charging device is selected by a target user to charge a target vehicle in a preset area. The charging terminal 41 can communicate with the electric vehicle orderly charging control device 10 by means of wireless connection. Some modules of the electric vehicle ordered charge control apparatus 10 may be provided on the terminal device, and some functions may be provided on the charge terminal 41.
The mobile terminal 42 may include a wearable device, a mobile phone, and/or a tablet computer, etc. used by the target user, the owner App on the mobile terminal 42 may respond to the instruction for orderly charging input by the target user, and the owner App on the mobile terminal 42 may be in wireless communication connection with the electric vehicle orderly charging control apparatus 10. When a target user drives home, the target vehicle is stopped beside the charging pile, the charging gun is connected with a charging port of the target vehicle, an owner App is opened, the ordered charging mode is selected to be started, and the charging execution module 23 can control the target charging equipment to charge the target vehicle in order according to the determined ordered charging plan through signal transmission. The complementary energy requirement determining module 21, the ordered charging plan module 22, and the charging execution module 23 may perform the reception of the instruction or the transmission of the signal through an electrical connection or a communication connection.
The application provides an electric vehicle ordered charging control device, can according to target user's benefit can demand and benefit can the electric charge load distribution information confirm the ordered charging plan of target vehicle after, charge in order to the target vehicle, realized balancing the load of electric wire netting as far as possible to the power demand in different target users confirms different ordered charging plans, make the ordered charging plan adaptation of target vehicle in target user.
Fig. 3 is a flowchart of an orderly charging control method for an electric vehicle according to an embodiment of the present invention. The present embodiment is applicable to the case of orderly charging the electric vehicle. With reference to fig. 1 and fig. 3, an orderly charging control method for an electric vehicle according to an embodiment of the present invention is applied to an electric vehicle 300, where the electric vehicle 300 includes an orderly charging control device 10 for an electric vehicle, and the orderly charging control method for an electric vehicle includes:
s110, responding to the ordered charging instruction selected by the target user, and obtaining the energy supplementing requirement of the target user; the energy supplementing requirement is determined based on historical traveling data of a corresponding target vehicle of a target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained by supplementing energy of a plurality of charging devices within a set historical time based on the target vehicle.
Specifically, the historical travel data of the target vehicle may include a preset time period before the current collection data node for the target vehicle, such as: the relevant driving data of the previous day, week, month and/or year, etc., or longer, are not limited herein. The historical performance data for the target vehicle may include a preset time period before the current collection data node for the target vehicle, such as: the relevant energy compensation data on a plurality of different charging devices during the previous day, week, month and/or year, etc., or longer, is not limited herein. The energy supplementing requirement of the target user specifically comprises determining the energy supplementing requirement of the target user according to the historical driving data and the historical energy supplementing data of the target vehicle. The energy supplementing requirement of the target user can comprise a predicted charging amount in the next preset time period, a predicted latest charging termination time, a predicted charging time length, a predicted charging period of the user, a user electricity price sensitivity degree and the like so as to guarantee daily use of the target user.
When the target user selects to enter the ordered charging mode and sends an ordered charging instruction, the system can acquire historical driving data and historical energy supplementing data of the target vehicle from data collected by the internet of vehicles of the vehicle, and further determine the energy supplementing requirement of the target user.
S120, determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information; the energy supplementing charge load distribution information is determined based on the power grid load distribution information corresponding to the target charging equipment.
Specifically, the energy compensation charge load distribution information is distribution information obtained according to the grid load distribution information corresponding to the target charging device. According to the energy supplementing charge load distribution information and the energy supplementing requirement of the target user, the load of the power grid can be balanced as much as possible, and the power utilization requirement of the target vehicle of the target user can be met. The area where the target charging device is located may correspond to a preset area. The predetermined area may include, but is not limited to, a residential area and/or a street, and may be a certain area of a city and/or an entire city as long as there is sufficient internet of vehicles data, which is not limited herein.
The power grid load distribution information in the preset area may include information of power grid capacity, peak-to-valley electricity time period and electricity price in the preset area, and power grid reserve in the preset area. The grid capacity in the preset area is used for determining the quantity of the grid in the preset area capable of charging the target vehicle at most at the same time. The peak-to-valley electricity period and the electricity price information are used for calculating the charging fee in an equalizing mode when determining the ordered charging plan of the target vehicle corresponding to the target user. The reserved power grid amount in the preset area is used for providing additionally required electric energy when the situation that the electric quantity required by charging of the target vehicle is increased temporarily occurs.
The ordered charging plan may include a period of charging the target vehicle, a charge amount for each period, a charge end time, and an amount of charge of the battery at the time of charge end, and the like. Each target vehicle can comprise a plurality of charging time periods, the charging requirements and daily use requirements of all target users in a preset area on the target vehicles are met, the load of a power grid can be balanced as much as possible, the charging cost of the target users can be reduced as much as possible, a specific and reasonable ordered charging plan is determined for each target user, and the target vehicles are charged in order according to the determined ordered charging plan.
And in response to the ordered charging instruction selected by the target user, determining an ordered charging plan suitable for the target user and the target vehicle according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information determined according to the corresponding power grid load distribution information.
And S130, controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan.
Specifically, the ordered charging plan of the target user can truly reflect the daily actual running condition of the target vehicle and the real-time state of the battery of the target vehicle, and can accurately predict the energy supplementing requirement of the target user in the next preset time period. And controlling the target charging equipment to charge the target vehicles in order according to the ordered charging plan, so that all the target vehicles in the preset area can be charged in order, the requirement of the target user on normal vehicle use in the next day is met, and the load of the power grid is balanced as much as possible.
Illustratively, the target users include a target user a, a target user B, and a target user C. The energy supplementing requirements of the target user A, the target user B and the target user C can be determined and obtained by obtaining the historical driving data and the historical electricity supplementing data of the target vehicle of the target user A, the target user B and the target user C respectively. And determining an ordered charging plan of the target user A according to the energy supplementing requirement of the target user A and the power grid load distribution information in the preset area, and controlling the target charging equipment to charge the target vehicle of the target user A in order.
And determining an ordered charging plan of the target user B according to the energy supplementing requirement of the target user B and the power grid load distribution information in the preset area where the target user B is located, and controlling the target charging equipment to orderly charge the target vehicle of the target user B.
And determining an ordered charging plan of the target user C according to the energy supplementing requirement of the target user C and the power grid load distribution information in the preset area where the target user C is located, and further controlling the target charging equipment to orderly charge the target vehicle of the target user C.
The ordered charging control method for the electric vehicle provided by the embodiment determines the ordered charging plan suitable for the target user and the target vehicle according to the energy supplementing requirement and the energy supplementing charge load distribution information of the target user. Therefore, the target charging equipment is controlled to charge the target vehicle in order according to the ordered charging plan, and an intelligent ordered charging plan can be reasonably distributed to the target vehicle in the preset area without manually inputting relevant data for power supplement by a target user. On one hand, the power utilization requirements of target users in a preset area on target vehicles in the future day are met, and the load of a power grid is well balanced; on the other hand, the target vehicles are charged based on the determined ordered charging plan, ordered charging of all the target vehicles in the preset area can be balanced, peak-valley period load of a power grid in the preset area is well balanced, stability of the power grid is facilitated, and charging cost of target users is reduced.
In an alternative implementation, the complementary energy requirement of the target user can be determined in the following manner. Fig. 4 is a flowchart of a method for determining an energy supplement requirement of a target user in an ordered charging control method for an electric vehicle according to an embodiment of the present invention. Referring to fig. 4, a method for determining an energy supplement requirement of a target user according to an embodiment of the present invention includes:
s210, based on historical driving data of the corresponding target vehicle of the target user, the daily driving amount of the target vehicle is determined.
Specifically, the historical driving data of the target vehicle may include data such as daily mileage of the target vehicle, average power consumption of the target user, departure time on duty, return time off duty, and remaining power of the target vehicle after return on duty. From the above data, the daily travel time, the travel period, the travel mileage, and the power demand of the target vehicle can be determined.
And S220, determining the charging habit of the target user based on the historical complementary energy data of the corresponding target vehicle of the target user.
Specifically, the historical charging data of the target vehicle may include data such as a total charging time period for charging the target vehicle by the target user, a charging time period, a total amount of power to be charged, a number of times of charging, and an amount of power to be charged and discharged during the daytime. According to the data, the charging habit of the target user can be determined, for example, the working unit of the target user is far away from home, and after the target user goes home after work, the target vehicle can be charged from 12 pm to 5 pm, and 70% of electric quantity can be charged. During the working day, the target vehicle is also supplied with electricity from 12 pm to 1 pm, and about 20% of electricity is supplied, so that the electricity demand of going home after work at night is met.
And S230, establishing a power utilization model of the corresponding target vehicle of the target user based on the daily driving quantity of the target vehicle and the charging habit of the target user.
Specifically, a specific power utilization model suitable for the target vehicle of the target user is established according to the target vehicle corresponding to different target users, the daily driving mileage and the consumed power, and the daily charging habits of the target user, such as the daily charging time period, the charging duration, the charging times and the like.
In an alternative embodiment, the electricity usage model of the corresponding target vehicle of the target user may be established by the following method, including:
and determining the electricity utilization anxiety parameter of the target user based on the daily driving quantity of the target vehicle and the charging habit of the target user.
Specifically, the power utilization anxiety parameter is a condition that a target user can worry about that the power consumption requirement is not met by the power utilization amount after the residual power of the target vehicle is reduced to a certain value, and even the target vehicle can be anchored at any time in the driving process. The power utilization anxiety parameter can be more accurately determined according to the daily charging habits of the target user, such as: the commuting distance of the target user is short, and the electricity consumption requirement can be met by consuming 40% of electricity every day. When the electric quantity of the target vehicle is charged to 90%, the commuting consumption of the target user is performed on the first day, the residual electric quantity of the target vehicle is 50%, and under the condition of no charging, the commuting electricity demand on the second day is still met. But the target user still fills in 20% of the electricity, the electricity anxiety parameter of the target user can be determined to be between 10% and 30%.
And determining the power utilization model of the target vehicle based on the power utilization anxiety parameter of the target user.
Specifically, according to the power utilization anxiety parameter of the target user, the power utilization model suitable for the target vehicle corresponding to the target user is determined, so that the target vehicle of the target user is ensured to determine the ordered charging plan according to the suitable power utilization model on the premise that the preset regional power grid capacity allows, and then ordered charging is carried out, so that the power utilization anxiety parameter of the target user can be avoided, and the vehicle use experience of the target user is further improved.
And S240, determining the complementary energy requirement of the target vehicle based on the power utilization model of the corresponding target vehicle of the target user.
Specifically, a target vehicle energy supplementing requirement meeting the requirement of a target user is determined according to a target vehicle electricity utilization model specific to the target user.
In an alternative embodiment, the complementary energy requirement of the target user can be determined in the following manner. Fig. 5 is a flowchart of a method for determining an energy supplement requirement of a target user in another method for controlling ordered charging of an electric vehicle according to an embodiment of the present invention. Referring to fig. 5, a method for determining an energy supplement requirement of a target user according to an embodiment of the present invention includes:
s310, calculating the predicted lowest charging electric quantity, the optimal charging electric quantity, the predicted charging duration and the price sensitivity coefficient of the target vehicle based on a regression algorithm according to the power utilization model of the target vehicle.
And S320, determining the energy supplementing requirement of the target user according to the predicted lowest charging quantity, the optimal charging quantity, the predicted charging duration and the price sensitivity coefficient of the target vehicle.
Specifically, the regression algorithm may include machine learning algorithms such as a linear programming algorithm, an integer programming algorithm, and the like, and for example, may include machine learning algorithms such as GBDT, LR, and the like. According to the daily residual electric quantity and daily normal consumed electric quantity data of the target vehicle, the expected minimum charging electric quantity of the target vehicle is calculated based on the target vehicle electricity utilization model, and at the moment, although the electricity utilization anxiety parameter of the target user can be reached, the daily use requirement of the target user can also be guaranteed. The expected optimal charging electric quantity of the target vehicle is calculated based on the model, so that the target vehicle can be charged orderly according to the optimal charging electric quantity on the premise that the capacity of a preset regional power grid is allowed, the power utilization anxiety threshold of the target user can be avoided, and the vehicle use experience of the target user is further improved. And calculating the expected charging time of the target user according to the charging habit of the target user so as to meet the power consumption requirement of the target user and avoid reaching the power consumption anxiety threshold of the target user.
An optional scenario is that when a predicted minimum charging capacity, an optimal charging capacity and a predicted charging duration of a target vehicle are calculated, state change data of a target vehicle battery are also acquired, when the target vehicle is just delivered from a factory, the battery capacity is 100%, and along with the increase of the service time of the target vehicle, the battery capacity can slowly decay to 95% and/or 90%, so that the health state of the battery is considered, when the target vehicle with the battery capacity decaying to 95% is charged, the charging duration after the battery capacity reaches 95% is unnecessary, and waste of electric energy is caused. And calculating and predicting a reasonable predicted charging time based on a regression algorithm, such as machine learning algorithms of GBDT, LR and the like, according to the historical charging time of the target vehicle and the state change data of the target vehicle battery.
In an alternative scenario, the price sensitivity coefficient of the target user may be determined by analyzing the historical charging time period data of the target user. For example, if the target user generally charges during the electricity consumption valley between 11 pm and 6 pm the next morning, it may be determined that the price sensitivity factor is high; if the target user usually returns home from work and is charged during the peak period of power consumption, it can be determined that the price sensitivity factor is low.
In an optional implementation manner, the method for controlling ordered charging of an electric vehicle according to an embodiment of the present invention may further include, before obtaining the energy supplement requirement of the target user: and acquiring the schedule information of the target user.
Specifically, the schedule information may include data such as the time the target vehicle leaves the target charging device every day, the time to return to the target charging device, the mileage traveled every day, and the amount of electricity consumed every day. On one hand, the schedule information of the target user can be determined according to the historical driving data and the historical energy supplementing data of the target vehicle under the condition that the ordered charging mode is started by the vehicle owner App on the mobile terminal of the target user. On the other hand, on the premise that the target user authorizes the vehicle owner App on the mobile terminal to read the schedule information recorded by the target user, the schedule information of the target user can be read preferentially.
In an optional implementation manner, the method for controlling ordered charging of an electric vehicle according to an embodiment of the present invention may include: and updating the energy supplementing requirement of the corresponding target vehicle of the target user according to the schedule information of the target user.
Specifically, the arrangement can update the energy supplementing requirement of the target vehicle according to the historical driving data of the target vehicle and the schedule information of the target user determined by the historical energy supplementing data, so that a new ordered charging plan is determined. On the other hand, when the target user authorizes the vehicle owner App on the mobile terminal to read the schedule information recorded by the target user, the ordered charging plan can be preferentially determined according to the read schedule information of the target user, so that the ordered charging plan is more suitable for the target user.
Specifically, if the schedule information of the target user on the next day temporarily changes, for example, a trip or visiting a friend is required, and the target user needs to be charged completely outside the schedule, the target user may also select an unordered charging mode on the App of the vehicle owner, that is, after connecting the charging gun with the charging port of the target vehicle, immediately start charging until the battery of the target vehicle is fully charged, so as to meet the demand of the temporarily changed schedule on the power consumption of the target vehicle. The vehicle owner App can record the changed schedule information and regularly update the energy supplementing requirement of the corresponding target vehicle of the target user so as to improve the use experience of the target user.
Specifically, on the premise that the target user authorizes the vehicle owner App to read the schedule plan, the ordered charging plan can be reasonably adjusted in advance according to the schedule information of the target user, so that the requirements of the target user are met. According to an optional implementation mode, after the target user authorizes the vehicle owner App to read the schedule plan, the system acquires that the travel of the target user is changed in a certain period, and the system can correspondingly adjust the ordered charging plan according to the changed travel so as to meet the power demand of the target user.
Illustratively, the target user includes a target user D. The target user D has children in primary school and only has daily commute in summer holidays in months 7 and 8. And after 9 months of school, the target user D needs to take the child to go to school and go to school in the morning and evening in addition to going to school every day. Therefore, the daily mileage of the target vehicle increases, and the amount of electricity required for replenishment increases. Based on the data information, the system can timely update the energy supplementing requirement of the target vehicle, so that an ordered charging plan more suitable for the target user D is formulated, and the daily power utilization requirement of the target user D is met.
In an optional implementation manner, in the process of selecting the ordered charging mode to be used by the target user on the owner App, if any problem is encountered, for example: the charging quantity is not sufficient, so that a target user feels anxiety about power utilization and/or the charging cost is high, feedback can be carried out on the vehicle owner App, and the electric vehicle ordered charging control device can receive a corresponding data instruction. Or the target vehicle power utilization model of the target user can be updated and adjusted in a targeted manner based on the direct prediction and analysis of the target user behavior without feeding back an adjustment strategy to the target user, so that the data model is continuously updated according to the use habits of the target user under the condition that the target user uses the power model without perception, the target vehicle power utilization requirement of the target user is met, and the power utilization model of the target vehicle is corrected in time.
In an optional implementation manner, the energy supplementing requirement of the target user in the method for controlling ordered charging of an electric vehicle according to the embodiment of the present invention may be further determined by the following method, including:
the departure time of the target vehicle is predicted based on the historical travel data of the corresponding target vehicle of the target user. And determining the complementary energy demand of the target user according to the leaving time of the target vehicle.
Specifically, the travel information of the target user can be obtained according to the historical driving data of the target vehicle, and the travel information can include the departure time of the target user in the morning, the return time of the target user in the evening and the like, so that the time slightly earlier than the departure time of the target user in the morning is predicted as the time when the target vehicle pulls out the charging gun and leaves the charging pile.
Specifically, according to the leaving time of the target vehicle, the time period and the time length of the target vehicle available for charging can be obtained, so that the energy supplementing requirement of the target user can be determined according to the leaving time of the target vehicle and the energy supplementing charge load distribution information, the power grid load can be balanced under the condition that the power grid capacity allows, and an ordered charging plan suitable for a plurality of target vehicles in a preset area can be reasonably formulated, so that the power consumption requirement of each target user can be met.
In an alternative implementation manner, the determination of the ordered charging schedule in the ordered charging control method for the electric vehicle according to the embodiment of the present invention may further be performed by:
and acquiring the energy supplementing resource configuration requirement of the target user, wherein the energy supplementing resource configuration requirement is used for representing the energy supplementing requirements of the target user on different energy supplementing time points. An ordered charging plan for charging the target vehicle is determined based on the energy replenishment resource allocation requirements prior to reaching the departure time of the target vehicle.
Specifically, the complementary resource configuration requirement may be determined according to price preferences of the target user. The energy supplementing resource configuration requirement is used for representing energy supplementing requirements of target users corresponding to different energy supplementing time points, and the electricity prices of the power grids corresponding to the different energy supplementing time points are different, for example: in the peak period of electricity utilization, the electricity price of the power grid is higher; and in the low ebb period of the power utilization, the power price of the power grid is lower. The target users have different price preferences for charging, the energy supplementing resource configuration requirements are determined by combining the power grid electricity prices corresponding to different energy supplementing time points and the price preferences of the target users, the ordered charging plan for charging the target vehicle is determined based on the energy supplementing resource configuration requirements, and ordered charging is carried out according to the ordered charging plan.
Illustratively, the target users include a target user a and a target user B. If the target user A charges the target vehicle orderly in a time period from 11 pm to 6 pm in the next morning, the price sensitivity coefficient of the target user A is higher, and the target user A charges in a power grid electricity consumption valley period mostly, so that the price is lower; if the target user B starts to charge the target vehicle in order at 8 o' clock in the evening after the target user B returns home from work, the price sensitivity coefficient of the target user B is low, the target user B is often charged in the peak period of power utilization of a power grid, and the price is high.
Specifically, before the departure time of each target vehicle is reached, a reasonable and ordered charging plan is formulated according to the energy supplementing resource allocation requirements of the target users, so that the power load of a power grid is balanced as much as possible, the energy supplementing requirements of the target users can be balanced, the target vehicles are charged in order according to the price preference of each target user, and the power demand of each target user is met.
Illustratively, the target users include a target user a, a target user B, and a target user C. The target user A is on duty at 9 am every day, goes off duty and goes home at 6 pm, the driving distance is about 30 kilometers every day, the power of the target vehicle is not supplemented in the daytime, the target vehicle normally consumes about 40% every day, the residual electric quantity of the target vehicle is 30% before going home and charging, the charging time required by prediction is 4 hours, the price sensitivity coefficient of the target user A is high, and the target user A is charged mostly in the electricity consumption valley period; the target user B is on duty at 7 am every day, goes off duty and goes home at 6 pm every day, the driving mileage is about 40 kilometers every day, and the target vehicle is not supplied with power in the daytime, extra power consumption is generated due to personal driving habits, so that the power consumption of the target vehicle is about 60% every day, the residual power of the target vehicle is 35% before the target vehicle goes home for charging, the charging time required by prediction is 7 hours, but the price sensitivity coefficient of the target user B is low, and the target user B can be charged in the peak period of power consumption; the target user C is on duty at 9 am every day, goes off duty and returns home at 6 pm every day, the driving distance is about 30 kilometers every day, the target vehicle can be supplied with power for 1 hour in the daytime, the target vehicle normally consumes about 40% every day, the residual power of the target vehicle is 30% before returning home for charging, the charging time required by prediction is 4 hours, the price sensitivity coefficient of the target user C is low, and the target user C can be charged at the peak time of power utilization.
In summary, the following optimal ordered charging plans may be executed by the target user a, the target user B, and the target user C, respectively, by comprehensively considering the power demand, the energy supplementing charge load distribution information, and the energy supplementing resource allocation requirement of all the target users in the future day: the target user B is long in charging time and can charge the target vehicle from 11 pm to 6 pm; in order to avoid the situation that the charging load of a power grid in a preset area is large during the night electricity utilization valley, the target user A can be charged from 12 o 'clock at night to 2 o' clock at the next day during the night electricity utilization valley, and then charged from 6 o 'clock at the next day to 8 o' clock at the daytime peak, so that the daily vehicle using requirements of the target user A are met; and the target vehicle of the target user C can be charged in the time period from 4 o 'clock to 8 o' clock on the next day, namely the vehicle using requirement of the target user C can be met. This arrangement also makes it possible to keep the cost of charging each target vehicle as low as possible.
Optionally, on the basis of the foregoing embodiment, with continued reference to fig. 2, an orderly charging control system 40 for an electric vehicle according to an embodiment of the present invention includes: the electric vehicle orderly charging control apparatus 10 according to any of the above embodiments; the electric vehicle ordered charging control system 40 further includes: a charging terminal 41 and a mobile terminal 42;
the mobile terminal 42 is in communication connection with the electric vehicle ordered charging control device 10, and the mobile terminal 42 is configured to collect gesture movement of a user acting on the mobile terminal 42 and generate an ordered charging instruction according to the gesture movement.
Specifically, the gesture movement on the mobile terminal 42 may include a sliding operation or a clicking operation on a touch screen of the mobile terminal 42, and the ordered charging instruction is generated according to the gesture movement operation.
The electric vehicle ordered charging control device 10 is in communication connection with the charging terminal 41, and the electric vehicle ordered charging control device 10 receives the ordered charging instruction and controls the charging terminal 41 to charge the target vehicle in order according to the ordered charging instruction.
Optionally, fig. 6 is a schematic structural diagram of another orderly charging control system for an electric vehicle according to an embodiment of the present invention. The embodiment of the invention provides a readable storage medium 51, and when the instructions in the readable storage medium 51 are executed by the processor 50 of the electric vehicle ordered charging control device 10, the electric vehicle ordered charging control device 10 is enabled to execute the electric vehicle ordered charging control method according to any of the embodiments. The method comprises the following steps: responding to the ordered charging instruction selected by the target user, and acquiring the energy supplementing requirement of the target user; the energy supplementing requirement is determined based on historical traveling data of a corresponding target vehicle of a target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained by supplementing energy to a plurality of charging devices within set historical time based on the target vehicle; determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information; the energy supplementing charge load distribution information is determined based on the power grid load distribution information corresponding to the target charging equipment; and controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the operations of the ordered charging control method for electric vehicles described above, and may also perform the relevant operations in the ordered charging control method for electric vehicles provided by any embodiments of the present invention, and has corresponding functions and advantages.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute the method for controlling ordered charging of an electric vehicle according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An orderly charging control method for an electric vehicle, characterized by comprising:
responding to an ordered charging instruction selected by a target user, and acquiring the energy supplementing requirement of the target user; the energy supplementing requirement is determined based on historical traveling data of a corresponding target vehicle of the target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained after the target vehicle performs energy supplementing on a plurality of charging devices within a set historical time;
determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information; the energy supplementing charge load distribution information is determined based on power grid load distribution information corresponding to target charging equipment;
and controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan.
2. The ordered charge control method for electric vehicles according to claim 1, wherein determining the complementary energy requirement of the target user comprises:
determining a daily travel amount of the target vehicle based on historical travel data of the target vehicle corresponding to the target user;
determining a charging habit of the target user based on historical complementary energy data of the target vehicle corresponding to the target user;
establishing a corresponding electricity utilization model of the target vehicle of the target user based on the daily driving quantity of the target vehicle and the charging habit of the target user;
determining a complementary energy requirement of the target vehicle based on the power utilization model of the target vehicle corresponding to the target user.
3. The ordered charge control method for an electric vehicle according to claim 2, wherein establishing a power usage model of the target vehicle corresponding to the target user includes:
determining a power utilization anxiety parameter of the target user based on the daily driving amount of the target vehicle and the charging habit of the target user;
determining a power usage model of the target vehicle based on the power usage anxiety parameter of the target user.
4. The ordered charge control method for an electric vehicle according to claim 2, wherein the determining of the complementary energy requirement of the target vehicle based on the power usage model of the target vehicle corresponding to the target user comprises:
calculating the predicted lowest charging electric quantity, the optimal charging electric quantity, the predicted charging time and the price sensitivity coefficient of the target vehicle based on a regression algorithm according to the power utilization model of the target vehicle;
and determining the energy supplementing requirement of the user according to the predicted lowest charging quantity, the optimal charging quantity, the predicted charging duration and the price sensitivity coefficient of the target vehicle.
5. The ordered charge control method for an electric vehicle according to claim 1, further comprising, before said obtaining the energy replenishment demand of the target user:
acquiring schedule information of the target user;
and updating the energy supplementing requirement of the target vehicle corresponding to the target user according to the schedule information of the target user.
6. The ordered charge control method for electric vehicles according to claim 1, wherein said obtaining the complementary energy requirement of the target user comprises:
predicting a departure time of the target vehicle based on historical travel data of the corresponding target vehicle of the target user;
and determining the energy supplementing requirement of the target user according to the leaving time of the target vehicle.
7. The ordered charge control method for electric vehicles according to claim 1, wherein determining an ordered charge schedule according to the energy compensation demand and the energy compensation charge load distribution information of the target user comprises:
acquiring energy supplementing resource configuration requirements of the target user, wherein the energy supplementing resource configuration requirements are used for representing energy supplementing requirements of the target user on different energy supplementing time points;
determining an ordered charging plan for charging the target vehicle based on the complementary energy resource configuration requirements prior to reaching the departure time of the target vehicle.
8. An electric vehicle ordered charging control device, characterized by being configured to execute the electric vehicle ordered charging control method according to any one of claims 1 to 7;
the electric vehicle ordered charging control device includes:
the energy supplementing requirement determining module is used for responding to an ordered charging instruction selected by a target user and obtaining an energy supplementing requirement of the target user, wherein the energy supplementing requirement is determined based on historical driving data of a corresponding target vehicle of the target user and historical energy supplementing data of the target vehicle, and the historical energy supplementing data is obtained after energy supplementing is carried out on a plurality of charging devices within a set historical time by the target vehicle;
the ordered charging plan module is used for determining an ordered charging plan according to the energy supplementing requirement of the target user and the energy supplementing charge load distribution information, wherein the energy supplementing charge load distribution information is determined based on the power grid load distribution information corresponding to the target charging equipment;
and the charging execution module is used for controlling the target charging equipment to charge the target vehicle in order according to the ordered charging plan.
9. An orderly charge control system for an electric vehicle, comprising: the electric vehicle orderly charging control apparatus of claim 8;
the electric vehicle ordered charging control system further includes: a charging terminal and a mobile terminal;
the mobile terminal is in communication connection with the electric vehicle ordered charging control device and is used for acquiring gesture movement of a user acting on the mobile terminal and generating an ordered charging instruction according to the gesture movement;
the electric vehicle ordered charging control device is in communication connection with the charging terminal, and is used for receiving the ordered charging instruction and controlling the charging terminal to charge the target vehicle in order according to the ordered charging instruction.
10. A readable storage medium, wherein instructions in the readable storage medium, when executed by a processor of an electric vehicle ordered charge control device, enable the electric vehicle ordered charge control device to perform the electric vehicle ordered charge control method of any of claims 1-7.
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