WO2022088052A1 - Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system - Google Patents

Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system Download PDF

Info

Publication number
WO2022088052A1
WO2022088052A1 PCT/CN2020/125291 CN2020125291W WO2022088052A1 WO 2022088052 A1 WO2022088052 A1 WO 2022088052A1 CN 2020125291 W CN2020125291 W CN 2020125291W WO 2022088052 A1 WO2022088052 A1 WO 2022088052A1
Authority
WO
WIPO (PCT)
Prior art keywords
electric vehicle
charge
charging
characteristic information
battery
Prior art date
Application number
PCT/CN2020/125291
Other languages
French (fr)
Chinese (zh)
Inventor
臧晓云
Original Assignee
罗伯特·博世有限公司
臧晓云
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 罗伯特·博世有限公司, 臧晓云 filed Critical 罗伯特·博世有限公司
Priority to CN202080106787.3A priority Critical patent/CN116491040A/en
Priority to PCT/CN2020/125291 priority patent/WO2022088052A1/en
Publication of WO2022088052A1 publication Critical patent/WO2022088052A1/en

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/02—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from ac mains by converters

Definitions

  • the present invention relates to a charge and discharge management method and a charge and discharge management device for an electric vehicle.
  • the invention also relates to a charge and discharge management controller for an electric vehicle.
  • the invention also relates to a charge and discharge management system for an electric vehicle.
  • the invention also relates to a computer-readable storage medium.
  • V2G Vehicle-to-Grid
  • An object of the present invention is to firstly provide a charge and discharge management method and a charge and discharge management device for an electric vehicle.
  • the charge-discharge management method and charge-discharge management device according to the present invention can realize an optimized charge-discharge strategy for multiple target tasks of the grid/battery.
  • a charge and discharge management method for an electric vehicle may include the following steps: acquiring first characteristic information of the electric vehicle and second characteristic information of a power grid; A charging and discharging strategy of the electric vehicle is determined based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the service life and/or the battery life of the electric vehicle. Or the battery cooling energy consumption of the electric vehicle is globally optimal; the charging and discharging strategy is output in the form of a control signal.
  • the solution according to the invention is based in particular on the following considerations: when at least one electric vehicle, in particular a plurality of electric vehicles, is connected to the grid and is charged and discharged (in particular simultaneously), the energy balance of the grid, the battery life of the electric vehicle (battery aging) and the energy consumption required for battery cooling are the most important considerations and target tasks when determining an optimized charge-discharge strategy.
  • the charging and discharging strategy according to the present invention does not pursue the local optimum for a single target task or part of the target task, but pursues the global optimum for all the target tasks.
  • the charging and discharging strategy can relate, for example, to the charging and discharging start time and/or the charging and discharging duration and/or the charging and discharging power and/or the charging and discharging depth, etc. of the relevant electric vehicle.
  • an electric vehicle can be not only a purely electric vehicle but also a hybrid vehicle.
  • the battery cooling energy consumption refers in particular to the battery cooling energy consumption during charging and discharging of the battery by the charging and discharging device and/or during driving of the vehicle.
  • the first characteristic information may include battery characteristic information.
  • the battery characteristic information may include battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information.
  • the battery characteristic information may also include other battery information that is important for charging and discharging in addition to the information listed above.
  • the first characteristic information may further include expected driving condition information of the electric vehicle.
  • the expected driving situation information can be ascertained or estimated, for example, from historical driving situation data acquired during a predetermined duration.
  • the minimum remaining battery capacity that can meet the expected driving requirements can be calculated, so that, for example, the depth of charge and discharge can be determined.
  • the expected driving condition information relates to the expected driving distance and/or the expected driving time of the electric vehicle.
  • the first characteristic information may further include charging and discharging power of a charging and discharging device associated with the electric vehicle or a charging and discharging device connected to the electric vehicle.
  • the first characteristic information of the electric vehicle may further include personalized data of the user of the electric vehicle.
  • the personalized data may include, for example, a charging/discharging start time and/or a charging/discharging depth and/or a charging/discharging power preset by a user of the electric vehicle, and the like.
  • the personalization data may include, for example, information on future driving trips preset by the user of the electric vehicle.
  • the second characteristic information may include current supply and demand information of the power grid.
  • the current supply and demand information of the grid may relate in particular to the power generation and load status of the grid.
  • charging and discharging costs or benefits can be additionally considered as the target task.
  • the second characteristic information especially includes charging and discharging rate information of the power grid at different times.
  • the global optimum of the respective electric vehicle can be determined from the first characteristic information and the second characteristic information by means of a mathematical model, taking into account given boundary conditions. charging and discharging strategy.
  • a globally optimal charging and discharging strategy for each electric vehicle can be determined from the first characteristic information and the second characteristic information based on an empirical formula.
  • individual target tasks can be assigned (especially different) priorities or weights.
  • the sum of the products of each target task and the corresponding weight can be used as the target of the global optimization.
  • a globally optimal charging and discharging strategy for each electric vehicle can be determined by means of a dynamic programming algorithm (DP) or a sequential quadratic programming algorithm (SQP).
  • DP dynamic programming algorithm
  • SQL sequential quadratic programming algorithm
  • the determined charging and discharging strategies of each electric vehicle may be the same as each other or different from each other, preferably different from each other of.
  • the individual electric vehicles are determined taking into account the first characteristic information of all electric vehicles or parts of the electric vehicles connected to the grid The global optimal charging and discharging strategy.
  • a charge and discharge management apparatus for an electric vehicle, the apparatus may include an information acquisition module, a strategy determination module, and an output module.
  • the information acquisition module may be configured to acquire first characteristic information of the electric vehicle and second characteristic information of the power grid.
  • the strategy determination module may be configured to determine a charging and discharging strategy of the electric vehicle based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the grid and the electric vehicle.
  • the service life of the vehicle's battery and/or the battery cooling energy consumption of the electric vehicle is globally optimal.
  • the output module may be configured to output the charge and discharge strategy in the form of a control signal.
  • the strategy determination module may be further configured to determine an energy balance for the power grid based on the first characteristic information and the second characteristic information and to determine the energy balance by charging and discharging
  • the resulting cost or benefit and the service life of the battery of the electric vehicle and/or the battery cooling energy consumption of the electric vehicle is a globally optimal charging and discharging strategy.
  • the charge and discharge management apparatus for an electric vehicle according to the second aspect of the present invention can be implemented in software form or hardware form or a software/hardware hybrid form, for example.
  • the charge and discharge management controller may include: a processor; and a memory on which a computer program is stored, and when the computer program is executed by the processor, implements the electric vehicle according to the first aspect of the present invention. Steps of a charge and discharge management method.
  • a charge and discharge management system for an electric vehicle may include: the charge and discharge management device according to the second aspect of the present invention or the charge and discharge management controller according to the third aspect of the present invention; a charge and discharge device for the electric vehicle .
  • the charging and discharging device may have a control unit and a communication unit. In this case, the charging and discharging device can be connected to the electric vehicle and the grid, respectively, not only in terms of energy flow but also in terms of information exchange.
  • the charging and discharging device can be configured as a charging pile, especially an intelligent charging pile.
  • the charging and discharging device can acquire the charging and discharging related data (for example, The above-mentioned first characteristic information) and provide it to the charge and discharge management controller of the power grid.
  • the charging and discharging related data for example, The above-mentioned first characteristic information
  • the charge and discharge management device according to the second aspect of the present invention or the charge and discharge management controller according to the third aspect of the present invention may be configured as a cloud-based
  • the computing unit is either constructed on a cloud server.
  • the charge and discharge management device according to the second aspect of the present invention or the charge and discharge management controller according to the third aspect of the present invention and each electric vehicle also They can be communicatively connected to each other by means of any suitable V2X technology.
  • a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in the first aspect of the present invention for Steps of a charge and discharge management method for an electric vehicle.
  • the technical solution according to the present invention can take into account the optimal operation of the power grid and the battery of the electric vehicle, while avoiding damage to the power grid or the battery of the electric vehicle;
  • the mileage anxiety of electric vehicle users can be alleviated to a greater extent
  • the technical solution according to the present invention can be easily combined with existing power grid facilities and electric vehicle charging and discharging facilities, and in particular, can significantly reflect the technical advantages of V2X technology and cloud computing technology.
  • FIG. 1 shows a schematic flow chart of a charging and discharging management method for an electric vehicle according to the present invention.
  • FIG. 2 shows a schematic block diagram of a charge and discharge management device for an electric vehicle according to the present invention.
  • a plurality of electric vehicles are respectively connected to respective charging and discharging devices (eg, charging piles), and there is a charging and discharging demand at the same time.
  • These charging and discharging devices are connected to the electric vehicle and the grid not only in the sense of energy flow but also in the sense of information exchange. That is to say, on the one hand, these charging and discharging devices can supply the electric energy obtained from the grid to the electric vehicle connected thereto or feed back the surplus electric energy of the electric vehicle connected thereto to the grid.
  • these charge-discharge devices can acquire charge-discharge-related data, for example, from a battery management unit of an electric vehicle connected thereto and provide it to a management controller of the grid, which is based on the charge-discharge-related data of each electric vehicle and/or operating data of the grid (eg current supply and demand data of the grid) to determine a charging and discharging strategy for each of the individual electric vehicles and outputting the determined charging and discharging strategy in the form of a control signal to each electric vehicle or charging and discharging equipment.
  • an electric vehicle can be not only a purely electric vehicle but also a hybrid vehicle.
  • FIG. 1 shows a schematic flow chart of a charging and discharging management method for an electric vehicle according to the present invention.
  • first characteristic information of the electric vehicle and second characteristic information of the power grid are acquired.
  • the electric vehicle is connected to the power grid through a charging and discharging device, thereby being able to obtain electrical energy from the power grid or feed back electrical energy to the power grid.
  • the actuating electrical device is designed, for example, as a charging station, which in particular has a control unit and a communication unit.
  • the communication unit can be connected in a wired and/or wireless manner to the battery control unit of the electric vehicle and the management controller of the electrical grid, respectively.
  • the current first characteristic information of the electric vehicle and the current second characteristic information of the power grid are acquired.
  • the predetermined time is, for example, the charging/discharging start time set by the user of the electric vehicle.
  • the first characteristic information of the electric vehicle may include battery characteristic information of the electric vehicle.
  • the battery characteristic information may be battery information related to charging and discharging, for example including battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information. It can be understood that the battery characteristic information may also include other battery information related to charging and discharging in addition to the information listed above.
  • the first characteristic information of the electric vehicle may also include information on expected driving conditions of the electric vehicle.
  • the expected driving situation information can be ascertained or estimated, for example, from historical driving situation data acquired during a predetermined time period.
  • the expected driving condition information relates to the expected driving distance and/or the expected driving time of the electric vehicle.
  • the expected discharge current of the battery throughout the expected driving condition can be calculated from the expected driving condition information and the battery model.
  • the first electric vehicle is expected to travel 30 km starting at 8 am the next day, while the second electric vehicle is expected to travel 100 km starting at 5 pm the next day.
  • the first characteristic information can also include the charging and discharging power of a charging and discharging device associated with the at least one electric vehicle or a charging and discharging device connected to the electric vehicle.
  • the first characteristic information of the electric vehicle may also include personalization data of a user of the electric vehicle.
  • the personalized data may include, for example, the charging/discharging start time and/or the charging/discharging depth and/or the charging/discharging power preset by the user of the electric vehicle, and the like.
  • the personalization data may include, for example, information on future driving trips preset by the user of the electric vehicle.
  • the second characteristic information of the power grid may include current supply and demand information of the power grid.
  • a charging and discharging strategy of the electric vehicle is determined based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the electric vehicle
  • the service life of the vehicle's battery and/or the battery cooling energy consumption of the electric vehicle is globally optimal.
  • the charging and discharging strategy can relate, for example, to the charging and discharging start time and/or the charging and discharging duration and/or the charging and discharging power and/or the charging and discharging depth, etc. of the relevant electric vehicle.
  • a globally optimal charging and discharging strategy for the respective electric vehicle can be determined from the first characteristic information and the second characteristic information by means of a mathematical model taking into account given boundary conditions.
  • the determined charging/discharging strategy does not pursue the local optimum for each target task but pursues the global optimum for all target tasks.
  • the target tasks here relate to the energy balance of the grid, the service life of the batteries of the individual electric vehicles, and the energy consumption for battery cooling.
  • the battery cooling energy consumption refers in particular to the battery cooling energy consumption during the charging and discharging of the battery by the charging and discharging device and/or during the driving of the vehicle.
  • the globally optimal charging and discharging strategy of the electric vehicle may be determined from the first characteristic information and the second characteristic information based on an empirical formula.
  • the weights may be predetermined or may be set by the user and/or the grid operator.
  • a globally optimal charging and discharging strategy for an electric vehicle can be determined by means of a dynamic programming algorithm (DP) or a sequential quadratic programming algorithm (SQP).
  • DP dynamic programming algorithm
  • SQL sequential quadratic programming algorithm
  • charging and discharging costs or benefits may be additionally considered as target tasks. Specifically, based on the first feature information and the second feature information, determine the globally optimal balance for the energy balance of the power grid, the cost or benefit caused by charging and discharging, and the service life of the battery of each electric vehicle and/or the battery cooling energy consumption balance. charging and discharging strategy.
  • the second characteristic information may in particular include information on charging and discharging rates of the power grid at different times.
  • the determined charging and discharging strategies of the respective electric vehicles may be the same as each other or different from each other, preferably different from each other.
  • a third method step 103 the charging and discharging strategy is output in the form of a control signal.
  • control signal may be output to each electric vehicle or charging and discharging device in a wired and/or wireless manner.
  • the charging and discharging device performs charging and discharging control of the electric vehicle connected thereto according to the control signal.
  • FIG. 2 shows a schematic block diagram of a charge and discharge management device 2 for an electric vehicle according to the present invention.
  • the charge and discharge management device 2 for an electric vehicle includes, for example, an information acquisition module 201 , a strategy determination module 202 and an output module 203 .
  • the information acquisition module 201 may be configured to acquire the first characteristic information of the electric vehicle and the second characteristic information of the power grid.
  • the strategy determination module 202 may be configured to determine a charging and discharging strategy of the electric vehicle based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the The service life of the battery of the electric vehicle and/or the battery cooling energy consumption balance of the electric vehicle is globally optimal.
  • the output module 203 may be configured to output the charging and discharging strategies to the electric vehicle respectively in the form of control signals.
  • the charging and discharging strategy can relate, for example, to the charging and discharging start time and/or the charging and discharging duration and/or the charging and discharging power and/or the charging and discharging depth, etc. of the relevant electric vehicle.
  • the information acquisition module 201 may also be configured to acquire the current first feature information of the electric vehicle and the current second feature information of the power grid when the electric vehicle is connected to the charging and discharging device through a cable.
  • the information acquisition module 201 may also be configured to acquire the current first feature information of the electric vehicle and the current second feature of the power grid at a predetermined time after the electric vehicle is connected to the charging and discharging device through a cable information.
  • the predetermined time is, for example, the charging/discharging start time set by the user of the electric vehicle.
  • the first characteristic information of the electric vehicle may include battery characteristic information of the electric vehicle.
  • the battery characteristic information may be battery information related to charging and discharging, for example including battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information. It can be understood that the battery characteristic information may also include other battery information related to charging and discharging in addition to the information listed above.
  • the first characteristic information of the electric vehicle may also include information on expected driving conditions of the electric vehicle.
  • the expected driving situation information can be ascertained or ascertained, for example, from historical driving data during a predetermined period of time.
  • the first characteristic information of the electric vehicle may also include personalization data of a user of the electric vehicle.
  • the personalized data may include, for example, the charging/discharging start time and/or the charging/discharging depth and/or the charging/discharging power preset by the user of the electric vehicle, and the like.
  • the personalization data may include, for example, information on future driving trips preset by the user of the electric vehicle.
  • the second characteristic information of the power grid may include current supply and demand information of the power grid.
  • the strategy determination module 202 may also be configured to determine a globally optimal charging and discharging strategy for each electric vehicle from the first characteristic information and the second characteristic information with the aid of a mathematical model taking into account given boundary conditions.
  • a globally optimal charging and discharging strategy for each electric vehicle may be determined from the first characteristic information and the second characteristic information based on an empirical formula.
  • individual target tasks can be assigned (especially different) priorities or weights.
  • the sum of the products of each target task and the corresponding weight can be used as the target of the global optimization.
  • the strategy determination module 202 may also be configured to determine a globally optimal charging and discharging strategy for each electric vehicle by means of a dynamic programming algorithm (DP) or a sequential quadratic programming algorithm (SQP).
  • DP dynamic programming algorithm
  • SQL sequential quadratic programming algorithm
  • the strategy determination module 202 may be further configured to determine the energy balance for the grid and the costs or benefits resulting from charging and discharging and the service life and/or the battery life of each electric vehicle based on the first characteristic information and the second characteristic information. Or a globally optimal charging and discharging strategy for battery cooling energy consumption of each electric vehicle.
  • the second characteristic information may in particular include information on charging and discharging rates of the power grid at different times.
  • the charge-discharge management device 2 for an electric vehicle can be implemented in a software form or a hardware form or a software/hardware hybrid form.

Abstract

The present invention relates to a charge and discharge management method for an electric vehicle. The method comprises the following steps: acquiring first feature information of the electric vehicle and second feature information of a power grid; determining charge and discharge strategies of the electric vehicles on the basis of the first feature information and the second feature information, wherein the charge and discharge strategies are globally optimal with respect to the energy balance of the power grid and the service life of a battery of the electric vehicle and/or the battery cooling energy consumption of the electric vehicle; and outputting the charge and discharge strategies to the electric vehicle in the form of control signals separately. The present invention further relates to a charge and discharge management apparatus for an electric vehicle. The present invention further relates to a charge and discharge management controller for an electric vehicle. The present invention further relates to a charge and discharge management system for an electric vehicle and a computer-readable storage medium.

Description

充放电管理方法和充放电管理装置、充放电管理控制器以及充放电管理系统Charge and discharge management method, charge and discharge management device, charge and discharge management controller, and charge and discharge management system 技术领域technical field
本发明涉及用于电动车辆的充放电管理方法和充放电管理装置。本发明还涉及一种用于电动车辆的充放电管理控制器。本发明还涉及一种用于电动车辆的充放电管理系统。本发明还涉及一种计算机可读存储介质。The present invention relates to a charge and discharge management method and a charge and discharge management device for an electric vehicle. The invention also relates to a charge and discharge management controller for an electric vehicle. The invention also relates to a charge and discharge management system for an electric vehicle. The invention also relates to a computer-readable storage medium.
背景技术Background technique
目前，电动车辆的普及率越来越高。一方面，电动车辆在无序地接入电网进行充电的情况下，往往导致电网负荷不均衡，尤其可能导致电网负荷过高，从而严重影响电网运行的可靠性和/或效率。另一方面，电动车辆在进行充放电时的诸多因素也显著地影响着电动车辆的性能，尤其是电池老化。Currently, the popularity of electric vehicles is increasing. On the one hand, when electric vehicles are connected to the power grid disorderly for charging, the load on the power grid is often unbalanced, and in particular, the load on the power grid may be too high, thereby seriously affecting the reliability and/or efficiency of the power grid operation. On the other hand, many factors during charging and discharging of electric vehicles also significantly affect the performance of electric vehicles, especially battery aging.
此外，随着智能电网技术的发展，尤其是V2G(车到电网)技术的发展，电动车辆也能够将其剩余电能回馈到电网中。在此同样需要考虑电动车辆放电对电网负荷以及电池老化的影响。In addition, with the development of smart grid technology, especially the development of V2G (Vehicle-to-Grid) technology, electric vehicles can also feed their surplus electric energy back to the grid. Here too, the influence of electric vehicle discharge on grid load and battery ageing needs to be considered.
发明内容SUMMARY OF THE INVENTION
本发明的目的首先在于提供一种用于电动车辆的充放电管理方法和充放电管理装置。根据本发明的充放电管理方法和充放电管理装置能够实现对于电网/电池的多个目标任务的优化充放电策略。An object of the present invention is to firstly provide a charge and discharge management method and a charge and discharge management device for an electric vehicle. The charge-discharge management method and charge-discharge management device according to the present invention can realize an optimized charge-discharge strategy for multiple target tasks of the grid/battery.
为此，根据本发明的第一方面提供了一种用于电动车辆的充放电管理方法，所述方法可以包括以下步骤：获取所述电动车辆的第一特征信息以及电网的第二特征信息；基于所述第一特征信息和所述第二特征信息确定所述电动车辆的充放电策略，其中，所述充放电策略对于所述电网的能量平衡以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能 量消耗是全局最优的；以控制信号的形式输出所述充放电策略。To this end, according to a first aspect of the present invention, a charge and discharge management method for an electric vehicle is provided, the method may include the following steps: acquiring first characteristic information of the electric vehicle and second characteristic information of a power grid; A charging and discharging strategy of the electric vehicle is determined based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the service life and/or the battery life of the electric vehicle. Or the battery cooling energy consumption of the electric vehicle is globally optimal; the charging and discharging strategy is output in the form of a control signal.
根据本发明的技术方案尤其基于以下考虑：在至少一个电动车辆、尤其多个电动车辆与电网连接并且(尤其同时)进行充放电的情况下，电网的能量平衡、电动车辆的电池使用寿命(电池老化)和电池冷却所需的能量消耗是最重要的考虑因素并且作为在确定优化的充放电策略时的目标任务。对于以上所述的多个目标任务，根据本发明的充放电策略不追求针对单个目标任务或部分目标任务的局部最优而是追求全部目标任务的全局最优。The solution according to the invention is based in particular on the following considerations: when at least one electric vehicle, in particular a plurality of electric vehicles, is connected to the grid and is charged and discharged (in particular simultaneously), the energy balance of the grid, the battery life of the electric vehicle (battery aging) and the energy consumption required for battery cooling are the most important considerations and target tasks when determining an optimized charge-discharge strategy. For the above-mentioned multiple target tasks, the charging and discharging strategy according to the present invention does not pursue the local optimum for a single target task or part of the target task, but pursues the global optimum for all the target tasks.
在此，所述充放电策略例如可以涉及相关电动车辆的充放电开始时间和/或充放电持续时间和/或充放电功率和/或充放电深度，等等。在此，电动车辆不仅可以涉及纯电动车辆而且可以涉及混合动力车辆。在此，所述电池冷却能量消耗尤其涉及电池在通过充放电设备进行充放电期间和/或在车辆行驶期间的电池冷却能量消耗。In this case, the charging and discharging strategy can relate, for example, to the charging and discharging start time and/or the charging and discharging duration and/or the charging and discharging power and/or the charging and discharging depth, etc. of the relevant electric vehicle. In this case, an electric vehicle can be not only a purely electric vehicle but also a hybrid vehicle. In this case, the battery cooling energy consumption refers in particular to the battery cooling energy consumption during charging and discharging of the battery by the charging and discharging device and/or during driving of the vehicle.
在本发明的第一方面的一种优选实施方式中，所述第一特征信息可以包括电池特征信息。所述电池特征信息可以包括电池模型和/或电池老化信息和/或电池荷电状态信息和/或电池温度信息和/或电池冷却需求信息。所述电池特征信息还可以包括除以上列举的信息以外的其他与充放电重要相关的电池信息。In a preferred embodiment of the first aspect of the present invention, the first characteristic information may include battery characteristic information. The battery characteristic information may include battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information. The battery characteristic information may also include other battery information that is important for charging and discharging in addition to the information listed above.
在本发明的第一方面的一种优选实施方式中，所述第一特征信息还可以包括所述电动车辆的预期行驶工况信息。在此，所述预期行驶工况信息例如可以由在预先确定的持续时间期间采集的历史行驶工况数据求取或推测。基于预期行驶工况信息尤其可以测算能够满足预期行驶要求的最低剩余电量，从而例如可以确定充放电深度。例如，所述预期行驶工况信息涉及所述电动车辆的预期行驶距离和/或预期行驶时间。In a preferred embodiment of the first aspect of the present invention, the first characteristic information may further include expected driving condition information of the electric vehicle. In this case, the expected driving situation information can be ascertained or estimated, for example, from historical driving situation data acquired during a predetermined duration. On the basis of the information on the expected driving conditions, in particular, the minimum remaining battery capacity that can meet the expected driving requirements can be calculated, so that, for example, the depth of charge and discharge can be determined. For example, the expected driving condition information relates to the expected driving distance and/or the expected driving time of the electric vehicle.
在本发明的第一方面的一种优选实施方式中，所述第一特征信息还可以包括配属于所述电动车辆的充放电设备或者与所述电动车辆连接的充放电设备的充放电功率。In a preferred embodiment of the first aspect of the present invention, the first characteristic information may further include charging and discharging power of a charging and discharging device associated with the electric vehicle or a charging and discharging device connected to the electric vehicle.
在本发明的第一方面的一种优选实施方式中，电动车辆的第一特征信息还可以包括电动车辆的用户的个性化数据。所述个性化数据例如可以包括通过电动车辆的用户预先设置的充放电开始时间和/或充放电深度和/或 充放电功率，等等。替代地或补充地，所述个性化数据例如可以包括通过电动车的用户预先设置的未来驾驶行程信息。In a preferred embodiment of the first aspect of the present invention, the first characteristic information of the electric vehicle may further include personalized data of the user of the electric vehicle. The personalized data may include, for example, a charging/discharging start time and/or a charging/discharging depth and/or a charging/discharging power preset by a user of the electric vehicle, and the like. Alternatively or additionally, the personalization data may include, for example, information on future driving trips preset by the user of the electric vehicle.
在本发明的第一方面的一种优选实施方式中，所述第二特征信息可以包括所述电网的当前供需信息。例如，所述电网的当前供需信息尤其可以涉及电网的发电量和负荷状态。In a preferred embodiment of the first aspect of the present invention, the second characteristic information may include current supply and demand information of the power grid. For example, the current supply and demand information of the grid may relate in particular to the power generation and load status of the grid.
在本发明的第一方面的一种优选实施方式中，作为目标任务还可以额外地考虑充放电费用或收益。由此，可以基于所述第一特征信息和所述第二特征信息确定对于所述电网的能量平衡以及由充放电导致的费用或收益以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗全局最优的充放电策略。在此，所述第二特征信息尤其包括所述电网的不同时间的充放电费率信息。In a preferred embodiment of the first aspect of the present invention, charging and discharging costs or benefits can be additionally considered as the target task. Thereby, the energy balance for the grid and the costs or benefits resulting from charging and discharging and the service life of the battery of the electric vehicle and/or the A globally optimal charge-discharge strategy for battery cooling energy consumption in electric vehicles. Here, the second characteristic information especially includes charging and discharging rate information of the power grid at different times.
在本发明的第一方面的一种优选实施方式中，可以借助于数学模型在考虑给定的边界条件的情况下由第一特征信息和第二特征信息来确定各个电动车辆的全局最优的充放电策略。In a preferred embodiment of the first aspect of the present invention, the global optimum of the respective electric vehicle can be determined from the first characteristic information and the second characteristic information by means of a mathematical model, taking into account given boundary conditions. charging and discharging strategy.
在本发明的第一方面的一种优选实施方式中，可以基于经验公式由第一特征信息和第二特征信息来确定各个电动车辆的全局最优的充放电策略。In a preferred embodiment of the first aspect of the present invention, a globally optimal charging and discharging strategy for each electric vehicle can be determined from the first characteristic information and the second characteristic information based on an empirical formula.
在本发明的第一方面的一种优选实施方式中，可以给各个目标任务分配(尤其不同的)优先级或权重。例如，可以将各个目标任务与相应权重乘积的总和作为全局优化的目标。In a preferred embodiment of the first aspect of the invention, individual target tasks can be assigned (especially different) priorities or weights. For example, the sum of the products of each target task and the corresponding weight can be used as the target of the global optimization.
在本发明的第一方面的一种优选实施方式中，可以借助于动态规划算法(DP)或序列二次规划算法(SQP)来确定各个电动车辆的全局最优的充放电策略。In a preferred embodiment of the first aspect of the present invention, a globally optimal charging and discharging strategy for each electric vehicle can be determined by means of a dynamic programming algorithm (DP) or a sequential quadratic programming algorithm (SQP).
在本发明的第一方面的一种优选实施方式中，在涉及多个电动车辆的情况下，所确定的各个电动车辆的充放电策略可以是彼此相同的或者是彼此不同的，优选是彼此不同的。In a preferred embodiment of the first aspect of the present invention, in the case of involving multiple electric vehicles, the determined charging and discharging strategies of each electric vehicle may be the same as each other or different from each other, preferably different from each other of.
在本发明的第一方面的一种优选实施方式中，在涉及多个电动车辆的情况下，在考虑与电网连接的所有电动车辆或部分电动车辆的第一特征信息的情况下确定各个电动车辆的全局最优的充放电策略。In a preferred embodiment of the first aspect of the invention, in the case of a plurality of electric vehicles, the individual electric vehicles are determined taking into account the first characteristic information of all electric vehicles or parts of the electric vehicles connected to the grid The global optimal charging and discharging strategy.
此外，根据本发明的第二方面提供了一种用于电动车辆的充放电管理装置，所述装置可以包括信息获取模块、策略确定模块和输出模块。所述信息获取模块可以配置成获取所述电动车辆的第一特征信息以及电网的第二特征信息。所述策略确定模块可以配置成基于所述第一特征信息和所述第二特征信息确定所述电动车辆的充放电策略，其中，所述充放电策略对于所述电网的能量平衡以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗是全局最优的。所述输出模块可以配置成以控制信号的形式输出所述充放电策略。Furthermore, according to a second aspect of the present invention, there is provided a charge and discharge management apparatus for an electric vehicle, the apparatus may include an information acquisition module, a strategy determination module, and an output module. The information acquisition module may be configured to acquire first characteristic information of the electric vehicle and second characteristic information of the power grid. The strategy determination module may be configured to determine a charging and discharging strategy of the electric vehicle based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the grid and the electric vehicle. The service life of the vehicle's battery and/or the battery cooling energy consumption of the electric vehicle is globally optimal. The output module may be configured to output the charge and discharge strategy in the form of a control signal.
在本发明的第二方面的一种优选实施方式中，所述策略确定模块还可以配置成基于所述第一特征信息和所述第二特征信息确定对于所述电网的能量平衡以及由充放电导致的费用或收益以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗全局最优的充放电策略。In a preferred embodiment of the second aspect of the present invention, the strategy determination module may be further configured to determine an energy balance for the power grid based on the first characteristic information and the second characteristic information and to determine the energy balance by charging and discharging The resulting cost or benefit and the service life of the battery of the electric vehicle and/or the battery cooling energy consumption of the electric vehicle is a globally optimal charging and discharging strategy.
此外，以上描述的根据本发明的第一方面的用于电动车辆的充放电管理方法的其他相应技术特征和技术效果同样适用于根据本发明的第二方面的用于电动车辆的充放电管理装置。In addition, other corresponding technical features and technical effects of the above-described charge and discharge management method for an electric vehicle according to the first aspect of the present invention are also applicable to the charge and discharge management device for an electric vehicle according to the second aspect of the present invention .
根据本发明的第二方面的用于电动车辆的充放电管理装置例如可以以软件形式或硬件形式或软件/硬件混合形式实现。The charge and discharge management apparatus for an electric vehicle according to the second aspect of the present invention can be implemented in software form or hardware form or a software/hardware hybrid form, for example.
此外，根据本发明的第三方面提供了一种用于电动车辆的充放电管理控制器。在此，所述充放电管理控制器可以包括：处理器；存储器，其上存储有计算机程序，所述计算机程序被处理器执行时实现根据本发明的第一方面所述的用于电动车辆的充放电管理方法的步骤。Furthermore, according to a third aspect of the present invention, there is provided a charge and discharge management controller for an electric vehicle. Here, the charge and discharge management controller may include: a processor; and a memory on which a computer program is stored, and when the computer program is executed by the processor, implements the electric vehicle according to the first aspect of the present invention. Steps of a charge and discharge management method.
此外，根据本发明的第四方面提供了一种用于电动车辆的充放电管理系统。所述充放电管理系统可以包括：根据本发明的第二方面所述的充放电管理装置或根据本发明的第三方面所述的充放电管理控制器；用于所述电动车辆的充放电设备。所述充放电设备可以具有控制单元和通信单元。在此，所述充放电设备可以不仅在能量流动意义上而且在信息交换意义上分别与电动车辆和电网连接。Furthermore, according to a fourth aspect of the present invention, there is provided a charge and discharge management system for an electric vehicle. The charge and discharge management system may include: the charge and discharge management device according to the second aspect of the present invention or the charge and discharge management controller according to the third aspect of the present invention; a charge and discharge device for the electric vehicle . The charging and discharging device may have a control unit and a communication unit. In this case, the charging and discharging device can be connected to the electric vehicle and the grid, respectively, not only in terms of energy flow but also in terms of information exchange.
在本发明的第四方面的一种优选实施方式中，所述充放电设备可以构 造为充电桩，尤其智能充电桩。In a preferred embodiment of the fourth aspect of the present invention, the charging and discharging device can be configured as a charging pile, especially an intelligent charging pile.
在本发明的第四方面的一种优选实施方式中，所述充放电设备可以借助于通信单元无线地和/或有线地从与其连接的电动车辆的电池管理单元获取充放电相关数据(例如，以上所述的第一特征信息)并且将其提供给电网的充放电管理控制器。In a preferred embodiment of the fourth aspect of the present invention, the charging and discharging device can acquire the charging and discharging related data (for example, The above-mentioned first characteristic information) and provide it to the charge and discharge management controller of the power grid.
在本发明的第四方面的一种优选实施方式中，根据本发明的第二方面所述的充放电管理装置或根据本发明的第三方面所述的充放电管理控制器可以构造为云端的计算单元或者构造在云服务器上。In a preferred embodiment of the fourth aspect of the present invention, the charge and discharge management device according to the second aspect of the present invention or the charge and discharge management controller according to the third aspect of the present invention may be configured as a cloud-based The computing unit is either constructed on a cloud server.
在本发明的第四方面的一种优选实施方式中，根据本发明的第二方面所述的充放电管理装置或根据本发明的第三方面所述的充放电管理控制器以及各个电动车辆也可以借助于任意合适的V2X技术彼此通信连接。In a preferred embodiment of the fourth aspect of the present invention, the charge and discharge management device according to the second aspect of the present invention or the charge and discharge management controller according to the third aspect of the present invention and each electric vehicle also They can be communicatively connected to each other by means of any suitable V2X technology.
此外，根据本发明的第五方面提供了一种计算机可读存储介质，其上存储有计算机程序，其中，所述计算机程序被处理器执行时实现根据本发明的第一方面所述的用于电动车辆的充放电管理方法的步骤。In addition, according to a fifth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in the first aspect of the present invention for Steps of a charge and discharge management method for an electric vehicle.
根据本发明的以上所述技术方案尤其具有以下优点：The above-mentioned technical solution according to the present invention has the following advantages in particular:
1.根据本发明的技术方案能够兼顾电网和电动车辆的电池的优化运行，同时避免了损害电网或电动车辆的电池；1. The technical solution according to the present invention can take into account the optimal operation of the power grid and the battery of the electric vehicle, while avoiding damage to the power grid or the battery of the electric vehicle;
2.根据本发明的技术方案能够在更大程度上缓解电动车辆用户的里程焦虑；2. According to the technical solution of the present invention, the mileage anxiety of electric vehicle users can be alleviated to a greater extent;
3.根据本发明的技术方案无需增加额外的硬件开销；3. According to the technical solution of the present invention, there is no need to increase additional hardware overhead;
4.根据本发明的技术方案能够容易地与现有电网设施和电动车辆充放电设施相结合并且尤其能够显著体现V2X技术以及云计算技术的技术优势。4. The technical solution according to the present invention can be easily combined with existing power grid facilities and electric vehicle charging and discharging facilities, and in particular, can significantly reflect the technical advantages of V2X technology and cloud computing technology.
附图说明Description of drawings
以下根据附图详细阐述本发明的优选实施例。本领域技术人员应理解的是，这些优选实施例仅仅是示例性的并且不意味着对本发明形成任何限制。The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood by those skilled in the art that these preferred embodiments are merely exemplary and are not meant to constitute any limitation to the present invention.
图1示出根据本发明的用于电动车辆的充放电管理方法的示意性流程图。FIG. 1 shows a schematic flow chart of a charging and discharging management method for an electric vehicle according to the present invention.
图2示出根据本发明的用于电动车辆的充放电管理装置的示意性框图。FIG. 2 shows a schematic block diagram of a charge and discharge management device for an electric vehicle according to the present invention.
具体实施方式Detailed ways
在此，示例性地描述以下场景：多个电动车辆分别与各自的充放电设备(例如，充电桩)连接，并且同时存在充放电需求。这些充放电设备不仅在能量流动意义上而且在信息交换意义上与电动车辆和电网连接。也就是说，一方面，这些充放电设备能够将从电网获取的电能提供给与其连接的电动车辆或者将与其连接的电动车辆的剩余电能回馈给电网。另一方面，这些充放电设备能够例如从与其连接的电动车辆的电池管理单元获取充放电相关数据并且将其提供给电网的管理控制器，所述管理控制器基于各个电动车辆的充放电相关数据和/或电网的运行数据(例如电网的当前供需数据)确定用于各个电动车辆中的每个电动车辆的充放电策略并且以控制信号的形式将所确定的充放电策略输出给各个电动车辆或充放电设备。在此，电动车辆不仅可以涉及纯电动车辆而且可以涉及混合动力车辆。Here, the following scenario is exemplarily described: a plurality of electric vehicles are respectively connected to respective charging and discharging devices (eg, charging piles), and there is a charging and discharging demand at the same time. These charging and discharging devices are connected to the electric vehicle and the grid not only in the sense of energy flow but also in the sense of information exchange. That is to say, on the one hand, these charging and discharging devices can supply the electric energy obtained from the grid to the electric vehicle connected thereto or feed back the surplus electric energy of the electric vehicle connected thereto to the grid. On the other hand, these charge-discharge devices can acquire charge-discharge-related data, for example, from a battery management unit of an electric vehicle connected thereto and provide it to a management controller of the grid, which is based on the charge-discharge-related data of each electric vehicle and/or operating data of the grid (eg current supply and demand data of the grid) to determine a charging and discharging strategy for each of the individual electric vehicles and outputting the determined charging and discharging strategy in the form of a control signal to each electric vehicle or charging and discharging equipment. In this case, an electric vehicle can be not only a purely electric vehicle but also a hybrid vehicle.
图1示出根据本发明的用于电动车辆的充放电管理方法的示意性流程图。FIG. 1 shows a schematic flow chart of a charging and discharging management method for an electric vehicle according to the present invention.
在第一方法步骤101中，获取所述电动车辆的第一特征信息以及所述电网的第二特征信息。In a first method step 101, first characteristic information of the electric vehicle and second characteristic information of the power grid are acquired.
例如，所述电动车辆通过充放电设备与电网连接，由此能够从电网获取电能或向电网回馈电能。所述充当电设备例如构造为充电桩，其尤其具有控制单元和通信单元。所述通信单元能够以有线和/或无线的方式分别与电动车辆的电池控制单元以及电网的管理控制器连接。For example, the electric vehicle is connected to the power grid through a charging and discharging device, thereby being able to obtain electrical energy from the power grid or feed back electrical energy to the power grid. The actuating electrical device is designed, for example, as a charging station, which in particular has a control unit and a communication unit. The communication unit can be connected in a wired and/or wireless manner to the battery control unit of the electric vehicle and the management controller of the electrical grid, respectively.
可选择地，当电动车辆与充放电设备通过线缆建立连接时，获取电动车辆的当前的第一特征信息以及电网的当前的第二特征信息。Optionally, when the electric vehicle is connected to the charging and discharging device through a cable, the current first characteristic information of the electric vehicle and the current second characteristic information of the power grid are acquired.
可选择地，在电动车辆与充放电设备通过线缆建立连接之后的预先确定的时刻，获取电动车辆的当前的第一特征信息以及电网的当前的第二特 征信息。在此，所述预先确定的时刻例如是由电动车辆的用户设置的充放电开始时刻。Optionally, at a predetermined time after the electric vehicle is connected to the charging and discharging device through a cable, the current first characteristic information of the electric vehicle and the current second characteristic information of the power grid are acquired. Here, the predetermined time is, for example, the charging/discharging start time set by the user of the electric vehicle.
电动车辆的第一特征信息可以包括电动车辆的电池特征信息。所述电池特征信息可以是与充放电相关的电池信息，例如包括电池模型和/或电池老化信息和/或电池荷电状态信息和/或电池温度信息和/或电池冷却需求信息。可以理解，所述电池特征信息还可以包括除以上列举的信息以外的其他与充放电相关的电池信息。The first characteristic information of the electric vehicle may include battery characteristic information of the electric vehicle. The battery characteristic information may be battery information related to charging and discharging, for example including battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information. It can be understood that the battery characteristic information may also include other battery information related to charging and discharging in addition to the information listed above.
替代地或补充地，电动车辆的第一特征信息还可以包括电动车辆的预期行驶工况信息。在此，例如可以由在预先确定的持续时间期间采集的历史行驶工况数据求取或推测所述预期行驶工况信息。例如，所述预期行驶工况信息涉及所述电动车辆的预期行驶距离和/或预期行驶时间。例如，由预期行驶工况信息和电池模型可以计算在整个预期行驶工况过程中的电池预期放电电流。仅仅示例性地，第一电动车辆预期第二天早上8点出发行驶30km，而第二电动车辆预期第二天下午5点出发行驶100km。Alternatively or additionally, the first characteristic information of the electric vehicle may also include information on expected driving conditions of the electric vehicle. In this case, the expected driving situation information can be ascertained or estimated, for example, from historical driving situation data acquired during a predetermined time period. For example, the expected driving condition information relates to the expected driving distance and/or the expected driving time of the electric vehicle. For example, the expected discharge current of the battery throughout the expected driving condition can be calculated from the expected driving condition information and the battery model. By way of example only, the first electric vehicle is expected to travel 30 km starting at 8 am the next day, while the second electric vehicle is expected to travel 100 km starting at 5 pm the next day.
替代地或补充地，所述第一特征信息还可以包括配属于所述至少一个电动车辆的充放电设备或者与所述电动车辆连接的充放电设备的充放电功率。Alternatively or additionally, the first characteristic information can also include the charging and discharging power of a charging and discharging device associated with the at least one electric vehicle or a charging and discharging device connected to the electric vehicle.
替代地或补充地，电动车辆的第一特征信息还可以包括电动车辆的用户的个性化数据。所述个性化数据例如可以包括通过电动车的用户预先设置的充放电开始时间和/或充放电深度和/或充放电功率，等等。替代地或补充地，所述个性化数据例如可以包括通过电动车的用户预先设置的未来驾驶行程信息。Alternatively or additionally, the first characteristic information of the electric vehicle may also include personalization data of a user of the electric vehicle. The personalized data may include, for example, the charging/discharging start time and/or the charging/discharging depth and/or the charging/discharging power preset by the user of the electric vehicle, and the like. Alternatively or additionally, the personalization data may include, for example, information on future driving trips preset by the user of the electric vehicle.
电网的第二特征信息可以包括所述电网的当前供需信息。The second characteristic information of the power grid may include current supply and demand information of the power grid.
在第二方法步骤102中，基于所述第一特征信息和所述第二特征信息确定所述电动车辆的充放电策略，其中，所述充放电策略对于所述电网的能量平衡以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗是全局最优的。In a second method step 102, a charging and discharging strategy of the electric vehicle is determined based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the electric vehicle The service life of the vehicle's battery and/or the battery cooling energy consumption of the electric vehicle is globally optimal.
在此，所述充放电策略例如可以涉及相关电动车辆的充放电开始时间和/或充放电持续时间和/或充放电功率和/或充放电深度，等等。In this case, the charging and discharging strategy can relate, for example, to the charging and discharging start time and/or the charging and discharging duration and/or the charging and discharging power and/or the charging and discharging depth, etc. of the relevant electric vehicle.
例如，可以借助于数学模型在考虑给定的边界条件的情况下由第一特征信息和第二特征信息来确定各个电动车辆的全局最优的充放电策略。在此，所确定的充放电策略不追求针对各个目标任务的局部最优而是追求全部目标任务的全局最优。在此，这些目标任务即涉及电网的能量平衡、各个电动车辆的电池的使用寿命和电池冷却能量消耗。所述电池冷却能量消耗尤其涉及电池在通过充放电设备进行充放电期间和/或在车辆行驶期间的电池冷却能量消耗。For example, a globally optimal charging and discharging strategy for the respective electric vehicle can be determined from the first characteristic information and the second characteristic information by means of a mathematical model taking into account given boundary conditions. Here, the determined charging/discharging strategy does not pursue the local optimum for each target task but pursues the global optimum for all target tasks. The target tasks here relate to the energy balance of the grid, the service life of the batteries of the individual electric vehicles, and the energy consumption for battery cooling. The battery cooling energy consumption refers in particular to the battery cooling energy consumption during the charging and discharging of the battery by the charging and discharging device and/or during the driving of the vehicle.
例如，可以基于经验公式由第一特征信息和第二特征信息来确定电动车辆的全局最优的充放电策略。For example, the globally optimal charging and discharging strategy of the electric vehicle may be determined from the first characteristic information and the second characteristic information based on an empirical formula.
例如，以给各个目标任务分配(尤其不同的)优先级或权重。例如，可以将各个目标任务与相应权重乘积的总和作为全局优化的目标。在此，权重可以是预先确定的，或者可以由用户和/或电网运营机构设置。For example, to assign (especially different) priorities or weights to individual target tasks. For example, the sum of the products of each target task and the corresponding weight can be used as the target of the global optimization. Here, the weights may be predetermined or may be set by the user and/or the grid operator.
例如，可以借助于动态规划算法(DP)或序列二次规划算法(SQP)来确定电动车辆的全局最优的充放电策略。For example, a globally optimal charging and discharging strategy for an electric vehicle can be determined by means of a dynamic programming algorithm (DP) or a sequential quadratic programming algorithm (SQP).
可选择地，作为目标任务还可以额外地考虑充放电费用或收益。具体而言，基于第一特征信息和第二特征信息确定对于电网的能量平衡以及由充放电导致的费用或收益以及各个电动车辆的电池的使用寿命和/或电池冷却能量消耗平衡全局最优的充放电策略。在此，所述第二特征信息尤其可以包括电网的不同时间的充放电费率信息。Optionally, charging and discharging costs or benefits may be additionally considered as target tasks. Specifically, based on the first feature information and the second feature information, determine the globally optimal balance for the energy balance of the power grid, the cost or benefit caused by charging and discharging, and the service life of the battery of each electric vehicle and/or the battery cooling energy consumption balance. charging and discharging strategy. In this case, the second characteristic information may in particular include information on charging and discharging rates of the power grid at different times.
例如，在涉及多个电动车辆的情况下，所确定的各个电动车辆的充放电策略可以是彼此相同的或者是彼此不同的，优选是彼此不同的。For example, in the case of involving a plurality of electric vehicles, the determined charging and discharging strategies of the respective electric vehicles may be the same as each other or different from each other, preferably different from each other.
在第三方法步骤103中，以控制信号的形式输出所述充放电策略。In a third method step 103, the charging and discharging strategy is output in the form of a control signal.
例如，所述控制信号可以通过有线和/或无线的方式输出给各个电动车辆或充放电设备。充放电设备根据所述控制信号进行与其连接的电动车辆的充放电控制。For example, the control signal may be output to each electric vehicle or charging and discharging device in a wired and/or wireless manner. The charging and discharging device performs charging and discharging control of the electric vehicle connected thereto according to the control signal.
根据本发明的以上所述方法步骤的顺序仅仅是示例性的，所述顺序可以进行调整，只要不脱离本发明的总体技术构思。The sequence of the above-described method steps according to the present invention is merely exemplary, and the sequence may be adjusted without departing from the general technical concept of the present invention.
图2示出根据本发明的用于电动车辆的充放电管理装置2的示意性框图。FIG. 2 shows a schematic block diagram of a charge and discharge management device 2 for an electric vehicle according to the present invention.
根据本发明的用于电动车辆的充放电管理装置2例如包括信息获取模块201、策略确定模块202和输出模块203。The charge and discharge management device 2 for an electric vehicle according to the present invention includes, for example, an information acquisition module 201 , a strategy determination module 202 and an output module 203 .
在此，所述信息获取模块201可以配置成获取所述电动车辆的第一特征信息以及电网的第二特征信息。所述策略确定模块202可以配置成基于所述第一特征信息和所述第二特征信息确定所述电动车辆的充放电策略，其中，所述充放电策略对于所述电网的能量平衡以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗平衡是全局最优的。所述输出模块203可以配置成以控制信号的形式分别向所述电动车辆输出所述充放电策略。Here, the information acquisition module 201 may be configured to acquire the first characteristic information of the electric vehicle and the second characteristic information of the power grid. The strategy determination module 202 may be configured to determine a charging and discharging strategy of the electric vehicle based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the The service life of the battery of the electric vehicle and/or the battery cooling energy consumption balance of the electric vehicle is globally optimal. The output module 203 may be configured to output the charging and discharging strategies to the electric vehicle respectively in the form of control signals.
在此，所述充放电策略例如可以涉及相关电动车辆的充放电开始时间和/或充放电持续时间和/或充放电功率和/或充放电深度，等等。In this case, the charging and discharging strategy can relate, for example, to the charging and discharging start time and/or the charging and discharging duration and/or the charging and discharging power and/or the charging and discharging depth, etc. of the relevant electric vehicle.
可选择地，所述信息获取模块201还可以配置成当电动车辆与充放电设备通过线缆建立连接时获取电动车辆的当前的第一特征信息以及电网的当前的第二特征信息。Optionally, the information acquisition module 201 may also be configured to acquire the current first feature information of the electric vehicle and the current second feature information of the power grid when the electric vehicle is connected to the charging and discharging device through a cable.
可选择地，所述信息获取模块201还可以配置成在电动车辆与充放电设备通过线缆建立连接之后的预先确定的时刻获取电动车辆的当前的第一特征信息以及电网的当前的第二特征信息。在此，所述预先确定的时刻例如是由电动车辆的用户设置的充放电开始时刻。Optionally, the information acquisition module 201 may also be configured to acquire the current first feature information of the electric vehicle and the current second feature of the power grid at a predetermined time after the electric vehicle is connected to the charging and discharging device through a cable information. Here, the predetermined time is, for example, the charging/discharging start time set by the user of the electric vehicle.
电动车辆的第一特征信息可以包括电动车辆的电池特征信息。所述电池特征信息可以是与充放电相关的电池信息，例如包括电池模型和/或电池老化信息和/或电池荷电状态信息和/或电池温度信息和/或电池冷却需求信息。可以理解，所述电池特征信息还可以包括除以上列举的信息以外的其他与充放电相关的电池信息。The first characteristic information of the electric vehicle may include battery characteristic information of the electric vehicle. The battery characteristic information may be battery information related to charging and discharging, for example including battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information. It can be understood that the battery characteristic information may also include other battery information related to charging and discharging in addition to the information listed above.
替代地或补充地，电动车辆的第一特征信息还可以包括电动车辆的预期行驶工况信息。在此，所述预期行驶工况信息例如可以由在预先确定的时间期间的历史驾驶行驶数据求取或求取。Alternatively or additionally, the first characteristic information of the electric vehicle may also include information on expected driving conditions of the electric vehicle. In this case, the expected driving situation information can be ascertained or ascertained, for example, from historical driving data during a predetermined period of time.
替代地或补充地，电动车辆的第一特征信息还可以包括电动车辆的用 户的个性化数据。所述个性化数据例如可以包括通过电动车的用户预先设置的充放电开始时间和/或充放电深度和/或充放电功率，等等。替代地或补充地，所述个性化数据例如可以包括通过电动车的用户预先设置的未来驾驶行程信息。Alternatively or additionally, the first characteristic information of the electric vehicle may also include personalization data of a user of the electric vehicle. The personalized data may include, for example, the charging/discharging start time and/or the charging/discharging depth and/or the charging/discharging power preset by the user of the electric vehicle, and the like. Alternatively or additionally, the personalization data may include, for example, information on future driving trips preset by the user of the electric vehicle.
电网的第二特征信息可以包括所述电网的当前供需信息。The second characteristic information of the power grid may include current supply and demand information of the power grid.
例如，所述策略确定模块202还可以配置成借助于数学模型在考虑给定的边界条件的情况下由第一特征信息和第二特征信息来确定各个电动车辆的全局最优的充放电策略。For example, the strategy determination module 202 may also be configured to determine a globally optimal charging and discharging strategy for each electric vehicle from the first characteristic information and the second characteristic information with the aid of a mathematical model taking into account given boundary conditions.
例如，可以基于经验公式由第一特征信息和第二特征信息来确定各个电动车辆的全局最优的充放电策略。For example, a globally optimal charging and discharging strategy for each electric vehicle may be determined from the first characteristic information and the second characteristic information based on an empirical formula.
例如，可以给各个目标任务分配(尤其不同的)优先级或权重。例如，可以将各个目标任务与相应权重乘积的总和作为全局优化的目标。For example, individual target tasks can be assigned (especially different) priorities or weights. For example, the sum of the products of each target task and the corresponding weight can be used as the target of the global optimization.
例如，所述策略确定模块202还可以配置成借助于动态规划算法(DP)或序列二次规划算法(SQP)来确定各个电动车辆的全局最优的充放电策略。For example, the strategy determination module 202 may also be configured to determine a globally optimal charging and discharging strategy for each electric vehicle by means of a dynamic programming algorithm (DP) or a sequential quadratic programming algorithm (SQP).
可选择地，所述策略确定模块202还可以配置成基于第一特征信息和第二特征信息确定对于电网的能量平衡以及由充放电导致的费用或收益以及各个电动车辆的电池的使用寿命和/或各个电动车辆的电池冷却能量消耗全局最优的充放电策略。在此，所述第二特征信息尤其可以包括电网的不同时间的充放电费率信息。Optionally, the strategy determination module 202 may be further configured to determine the energy balance for the grid and the costs or benefits resulting from charging and discharging and the service life and/or the battery life of each electric vehicle based on the first characteristic information and the second characteristic information. Or a globally optimal charging and discharging strategy for battery cooling energy consumption of each electric vehicle. In this case, the second characteristic information may in particular include information on charging and discharging rates of the power grid at different times.
根据本发明的用于电动车辆的充放电管理装置2可以以软件形式或硬件形式或软件/硬件混合形式实现。The charge-discharge management device 2 for an electric vehicle according to the present invention can be implemented in a software form or a hardware form or a software/hardware hybrid form.
对于本领域技术人员而言，可以在不脱离本发明的精神的情况下对以上优选实施例进行各种变型或修改，这些变型或修改均不脱离本发明的范畴。For those skilled in the art, various variations or modifications can be made to the above preferred embodiments without departing from the spirit of the present invention, and these variations or modifications do not depart from the scope of the present invention.

Claims (16)

  1. 一种用于电动车辆的充放电管理方法，所述方法包括以下步骤：A charge and discharge management method for an electric vehicle, the method comprising the steps of:
    获取所述电动车辆的第一特征信息以及电网的第二特征信息；acquiring first characteristic information of the electric vehicle and second characteristic information of the power grid;
    基于所述第一特征信息和所述第二特征信息确定所述电动车辆的充放电策略，其中，所述充放电策略对于所述电网的能量平衡以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗是全局最优的；A charging and discharging strategy of the electric vehicle is determined based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the service life and/or the battery life of the electric vehicle. or the battery cooling energy consumption of the electric vehicle is globally optimal;
    以控制信号的形式输出所述充放电策略。The charging and discharging strategy is output in the form of a control signal.
  2. 根据权利要求1所述的充放电管理方法，其特征在于，The charging and discharging management method according to claim 1, wherein:
    所述第一特征信息包括电池特征信息，其中，所述电池特征信息包括电池模型和/或电池老化信息和/或电池荷电状态信息和/或电池温度信息和/或电池冷却需求信息。The first characteristic information includes battery characteristic information, wherein the battery characteristic information includes battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information.
  3. 根据权利要求1或2所述的充放电管理方法，其特征在于，The charge and discharge management method according to claim 1 or 2, characterized in that:
    所述第一特征信息还包括所述电动车辆的预期行驶工况信息。The first characteristic information further includes expected driving condition information of the electric vehicle.
  4. 根据权利要求1至3中任一项所述的充放电管理方法，其特征在于，The charge and discharge management method according to any one of claims 1 to 3, wherein:
    所述第二特征信息包括所述电网的当前供需信息。The second characteristic information includes current supply and demand information of the power grid.
  5. 根据权利要求1至4中任一项所述的充放电管理方法，其特征在于，The charge and discharge management method according to any one of claims 1 to 4, wherein,
    基于所述第一特征信息和所述第二特征信息确定对于所述电网的能量平衡以及由充放电导致的费用或收益以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗全局最优的充放电策略，其中，所述第二特征信息尤其包括所述电网的不同时间的充放电费率信息。Based on the first characteristic information and the second characteristic information, determine the energy balance for the grid and the costs or benefits due to charging and discharging and the service life of the battery of the electric vehicle and/or the battery of the electric vehicle A charging and discharging strategy with global optimal cooling energy consumption, wherein the second characteristic information especially includes charging and discharging rate information of the power grid at different times.
  6. 根据权利要求1至5中任一项所述的充放电管理方法，其特征在于，The charge and discharge management method according to any one of claims 1 to 5, wherein:
    借助于动态规划算法或序列二次规划算法来确定所述充放电策略。The charging and discharging strategy is determined by means of a dynamic programming algorithm or a sequential quadratic programming algorithm.
  7. 一种用于电动车辆的充放电管理装置，所述装置包括以下模块：A charge and discharge management device for an electric vehicle, the device includes the following modules:
    信息获取模块，其配置成获取所述电动车辆的第一特征信息以及电网的第二特征信息；an information acquisition module configured to acquire first characteristic information of the electric vehicle and second characteristic information of the power grid;
    策略确定模块，其配置成基于所述第一特征信息和所述第二特征信息确定所述电动车辆的充放电策略，其中，所述充放电策略对于所述电网的能量平衡以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗是全局最优的；a strategy determination module configured to determine a charging and discharging strategy of the electric vehicle based on the first characteristic information and the second characteristic information, wherein the charging and discharging strategy is related to the energy balance of the power grid and the electric vehicle the lifetime of the battery and/or the battery cooling energy consumption of the electric vehicle is globally optimal;
    输出模块，其配置成以控制信号的形式输出所述充放电策略。An output module configured to output the charging and discharging strategy in the form of a control signal.
  8. 根据权利要求7所述的充放电管理装置，其特征在于，The charge and discharge management device according to claim 7, wherein:
    所述第一特征信息包括电池特征信息，其中，所述电池特征信息包括电池模型和/或电池老化信息和/或电池荷电状态信息和/或电池温度信息和/或电池冷却需求信息。The first characteristic information includes battery characteristic information, wherein the battery characteristic information includes battery model and/or battery aging information and/or battery state of charge information and/or battery temperature information and/or battery cooling requirement information.
  9. 根据权利要求7或8所述的充放电管理装置，其特征在于，The charge and discharge management device according to claim 7 or 8, wherein:
    所述第一特征信息还包括所述电动车辆的预期行驶工况信息。The first characteristic information further includes expected driving condition information of the electric vehicle.
  10. 根据权利要求7至9中任一项所述的充放电管理装置，其特征在于，The charge and discharge management device according to any one of claims 7 to 9, wherein:
    所述第二特征信息包括所述电网的当前供需信息。The second characteristic information includes current supply and demand information of the power grid.
  11. 根据权利要求7至10中任一项所述的充放电管理装置，其特征在于，The charge and discharge management device according to any one of claims 7 to 10, wherein:
    所述策略确定模块还配置成基于所述第一特征信息和所述第二特征信息确定对于所述电网的能量平衡以及由充放电导致的费用或收益以及所述电动车辆的电池的使用寿命和/或所述电动车辆的电池冷却能量消耗全局最优的充放电策略，其中，所述第二特征信息尤其包括所述电网的不同时间的充放电费率信息。The policy determination module is further configured to determine, based on the first characteristic information and the second characteristic information, an energy balance for the power grid and costs or benefits resulting from charging and discharging and the service life and lifetime of the battery of the electric vehicle. /or a globally optimal charging and discharging strategy for battery cooling energy consumption of the electric vehicle, wherein the second characteristic information especially includes charging and discharging rate information of the power grid at different times.
  12. 根据权利要求7至11中任一项所述的充放电管理装置，其特征在 于，The charge and discharge management device according to any one of claims 7 to 11, wherein:
    所述策略确定模块还配置成借助于动态规划算法或序列二次规划算法来确定所述充放电策略。The strategy determination module is further configured to determine the charging and discharging strategy by means of a dynamic programming algorithm or a sequential quadratic programming algorithm.
  13. 一种用于电动车辆的充放电管理控制器，其特征在于，所述控制器包括：A charge and discharge management controller for an electric vehicle, characterized in that the controller comprises:
    处理器；processor;
    存储器，其上存储有计算机程序，所述计算机程序被处理器执行时实现根据权利要求1-6中任一项所述的方法的步骤。a memory having stored thereon a computer program which, when executed by the processor, implements the steps of the method according to any one of claims 1-6.
  14. 一种用于电动车辆的充放电管理系统，其特征在于，所述系统包括：A charge and discharge management system for electric vehicles, characterized in that the system includes:
    根据权利要求7至12中任一项所述的充放电管理装置或根据权利要求13所述的控制器；The charge and discharge management device according to any one of claims 7 to 12 or the controller according to claim 13;
    用于所述电动车辆的充放电设备，其中，所述充放电设备具有控制单元和通信单元。A charging and discharging apparatus for the electric vehicle, wherein the charging and discharging apparatus has a control unit and a communication unit.
  15. 根据权利要求14所述的充放电管理系统，其特征在于，所述充放电管理装置或所述控制器构造为云端的计算单元。The charge and discharge management system according to claim 14, wherein the charge and discharge management device or the controller is configured as a cloud computing unit.
  16. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现根据权利要求1至6中任一项所述的用于电动车辆的充放电管理方法的步骤。A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the charging and discharging management for an electric vehicle according to any one of claims 1 to 6 is implemented steps of the method.
PCT/CN2020/125291 2020-10-30 2020-10-30 Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system WO2022088052A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202080106787.3A CN116491040A (en) 2020-10-30 2020-10-30 Charge/discharge management method, charge/discharge management device, charge/discharge management controller, and charge/discharge management system
PCT/CN2020/125291 WO2022088052A1 (en) 2020-10-30 2020-10-30 Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2020/125291 WO2022088052A1 (en) 2020-10-30 2020-10-30 Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system

Publications (1)

Publication Number Publication Date
WO2022088052A1 true WO2022088052A1 (en) 2022-05-05

Family

ID=81381585

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/125291 WO2022088052A1 (en) 2020-10-30 2020-10-30 Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system

Country Status (2)

Country Link
CN (1) CN116491040A (en)
WO (1) WO2022088052A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102025182A (en) * 2010-11-30 2011-04-20 梁一桥 Modular charging/discharging system of power battery pack of multifunctional electromobile
CN104953652A (en) * 2015-06-11 2015-09-30 国网山东省电力公司电力科学研究院 Control method for ordered charging of electromobile
JP2019071721A (en) * 2017-10-10 2019-05-09 ニチコン株式会社 Power supply system
US20200091808A1 (en) * 2017-01-06 2020-03-19 Energy Producing Systems of America LLC Electrical power generation and distribution
CN111532150A (en) * 2020-05-15 2020-08-14 国网辽宁省电力有限公司电力科学研究院 Self-learning-based electric vehicle charging control strategy optimization method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102025182A (en) * 2010-11-30 2011-04-20 梁一桥 Modular charging/discharging system of power battery pack of multifunctional electromobile
CN104953652A (en) * 2015-06-11 2015-09-30 国网山东省电力公司电力科学研究院 Control method for ordered charging of electromobile
US20200091808A1 (en) * 2017-01-06 2020-03-19 Energy Producing Systems of America LLC Electrical power generation and distribution
JP2019071721A (en) * 2017-10-10 2019-05-09 ニチコン株式会社 Power supply system
CN111532150A (en) * 2020-05-15 2020-08-14 国网辽宁省电力有限公司电力科学研究院 Self-learning-based electric vehicle charging control strategy optimization method and system

Also Published As

Publication number Publication date
CN116491040A (en) 2023-07-25

Similar Documents

Publication Publication Date Title
US10189362B2 (en) Vehicle charging station having degraded energy storage units for charging an incoming vehicle and methods thereof
US10483770B2 (en) Vehicle charging station having degraded energy storage units and methods thereof
CN105835710B (en) Intelligent energy management for extending battery life of electric vehicles
EP2686195B1 (en) Systems and methods for controlling multiple storage devices
CN102948036B (en) Battery charger and method for charging batteries
JP5401366B2 (en) Control device for hybrid vehicle
US11498452B2 (en) Vehicle charging control systems and methods
CN105680541B (en) A kind of charging method of low temperature charging strategy
US9780565B2 (en) System and method for controlling frequency
JP7111078B2 (en) electric vehicle
EP3463967A1 (en) Electric vehicle battery management apparatus and method
JP2012253976A (en) Charge/discharge controller, and charge/discharge control method and program
US20190214693A1 (en) On-board battery temperature regulating apparatus, the on-board battery temperature regulating method, and non-transitory tangible recording medium storing therein on-board battery temperature regulating program
US11926243B2 (en) Confidence-based vehicle charge control
JP2012080689A (en) Power supply unit for electric vehicle
JP2014090578A (en) Power supply device for vehicle
CN107054124B (en) Hybrid power system and method based on vehicle navigation
GB2561409A (en) Methods and systems for managing range of a vehicle
KR101646342B1 (en) High-Efficiency charging Apparatus and Method for rechargeable battery
CN106602681A (en) Charging system and control method thereof
WO2022088052A1 (en) Charge and discharge management method, charge and discharge management apparatus, charge and discharge management controller, and charge and discharge management system
US20220289060A1 (en) Control system and energy management method
JP7414637B2 (en) Control device, control system, control method, and program
Martel et al. Economy-focused PHEV battery lifetime management through optimal fuel cell load sharing
JP7136785B2 (en) POWER SYSTEM, POWER STORAGE DEVICE, CONTROL METHOD OF POWER SYSTEM, AND MOVING OBJECT

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20959214

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 202080106787.3

Country of ref document: CN

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20959214

Country of ref document: EP

Kind code of ref document: A1