WO2024114737A1 - 电动汽车充电设备确定方法、装置、设备和存储介质 - Google Patents

电动汽车充电设备确定方法、装置、设备和存储介质 Download PDF

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Publication number
WO2024114737A1
WO2024114737A1 PCT/CN2023/135476 CN2023135476W WO2024114737A1 WO 2024114737 A1 WO2024114737 A1 WO 2024114737A1 CN 2023135476 W CN2023135476 W CN 2023135476W WO 2024114737 A1 WO2024114737 A1 WO 2024114737A1
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WO
WIPO (PCT)
Prior art keywords
charging device
charging
energy storage
electric vehicle
storage unit
Prior art date
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PCT/CN2023/135476
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English (en)
French (fr)
Inventor
纪明君
赵祥
何岩
Original Assignee
浙江极氪智能科技有限公司
浙江吉利控股集团有限公司
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Application filed by 浙江极氪智能科技有限公司, 浙江吉利控股集团有限公司 filed Critical 浙江极氪智能科技有限公司
Publication of WO2024114737A1 publication Critical patent/WO2024114737A1/zh

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Classifications

    • 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
    • B60L53/67—Controlling two or more charging stations
    • 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
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • 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
    • B60L53/66—Data transfer between charging stations and vehicles
    • 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
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/70—Interactions with external data bases, e.g. traffic centres
    • B60L2240/72—Charging station selection relying on external data
    • 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

Definitions

  • the embodiments of the present application relate to the field of computer technology, and in particular to a method, apparatus, device and storage medium for determining electric vehicle charging equipment.
  • the user when an electric vehicle needs to be charged, the user first looks for a charging pile deployment location, and then selects a charging pile that is idle and can be used normally from multiple charging piles to charge the electric vehicle. Similarly, when the user chooses a charging device deployed at a fixed location to charge the electric vehicle, it is also necessary to select a suitable charging device from multiple charging devices.
  • the present application provides a method, apparatus, device and storage medium for determining an electric vehicle charging device, so as to solve the problem that it is difficult to quickly determine a target charging device.
  • the present application provides a method for determining an electric vehicle charging device, wherein the charging device includes a battery management system (BMS) and a plurality of energy storage units, and the BMS controls the energy storage unit to supply power to the outside, and the method includes:
  • BMS battery management system
  • Obtaining user order information and a working state of an energy storage unit in at least one first charging device wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is a charging device in an idle state and a BMS that is working normally;
  • a target charging device is determined from the first charging devices according to the user order information, the working status of the energy storage unit of at least one first charging device, and the storage capacity of the first charging devices.
  • the working state of the energy storage unit includes a normal state and a fault state.
  • determining a target charging device from the first charging devices according to user order information, a working state of an energy storage unit of at least one first charging device, and a storage capacity of the first charging device includes:
  • a target charging device is determined from among the third charging devices.
  • determining a target charging device from a third charging device includes:
  • the third charging device with the best state of health (SOH) or the largest amount of power storage is determined as the target charging device.
  • determining a target charging device from the first charging devices according to user order information, a working state of an energy storage unit of at least one first charging device, and a storage capacity of the first charging device includes:
  • the storage capacity of the fourth charging device is the sum of the storage capacities of all energy storage units located above the energy storage unit in the faulty state
  • a target charging device is determined from among the fifth charging devices.
  • determining a target charging device from the fifth charging device includes:
  • the fifth charging device with the best SOH or the largest amount of power storage is determined as the target charging device.
  • the method further includes:
  • At least two sixth charging devices are determined as target charging devices from the fourth charging devices, and the sum of the power storage amounts of the at least two sixth charging devices meets the power required by the electric vehicle.
  • the present application provides a device for determining an electric vehicle charging device, wherein the charging device includes a battery management system BMS and a plurality of energy storage units, and the BMS controls the energy storage unit to supply power to the outside, and the device includes:
  • An acquisition module used to acquire user order information and a working state of an energy storage unit in at least one first charging device, wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is a charging device in an idle state and a BMS that works normally;
  • the determination module is used to determine a target charging device from the first charging devices according to user order information, a working state of an energy storage unit of at least one first charging device, and a storage capacity of the first charging device.
  • the present application provides an electronic device, including: a memory and a processor;
  • the memory is used to store computer programs
  • the processor is used to execute the computer program stored in the memory to implement the electric vehicle charging equipment determination method in the first aspect and any one of the embodiments of the first aspect.
  • the present application provides a computer-readable storage medium, in which a computer program is stored.
  • the computer program is executed by a processor, the electric vehicle charging equipment determination method in the first aspect and any one of the embodiments of the first aspect is implemented.
  • the present application provides a computer program product, which includes a computer program.
  • the computer program When the computer program is executed by a processor, it implements the electric vehicle charging equipment determination method in the first aspect and any one of the embodiments of the first aspect.
  • the electric vehicle charging equipment determination method, apparatus, device and storage medium provided in the present application determine the amount of electricity required by the electric vehicle and the amount of storage capacity of the first charging device by obtaining user order information and the working status of the energy storage unit in at least one first charging device. According to the working status of the energy storage unit of at least one first charging device and the amount of storage capacity of the first charging device, the first charging device that meets the amount of electricity required by the electric vehicle is determined as the target charging device. This method can quickly determine the charging device whose actual available storage capacity meets the charging requirements of the electric vehicle, thereby improving the user experience.
  • FIG1 is a schematic diagram of a scenario of an electric vehicle charging device provided by an embodiment of the present application.
  • FIG2 is a flow chart of a method for determining an electric vehicle charging device provided in an embodiment of the present application
  • FIG3 is a schematic diagram of the structure of a device for determining an electric vehicle charging device provided in an embodiment of the present application
  • FIG. 4 is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application.
  • first, second, third, “fourth”, etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances.
  • the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information.
  • the available storage capacity indicated by the charging device is still the sum of the storage capacities of all energy storage units.
  • the actual available storage capacity of the charging device selected by the user cannot fully meet the requirements. This makes it difficult for users to quickly determine the actual available charging equipment in order to meet the charging needs of electric vehicles.
  • the present application proposes a method, apparatus, device and storage medium for determining electric vehicle charging equipment.
  • the electric vehicle charging equipment determination method of the present application determines the amount of electricity required by the electric vehicle by obtaining user order information, obtains the working status of the energy storage unit in at least one first charging device, and determines the first charging device that meets the amount of electricity required by the electric vehicle as the target charging device based on the working status of the energy storage unit of at least one first charging device and the storage capacity of the first charging device.
  • This method avoids the problem caused by the actual available storage capacity of the charging device being lower than the indicated available storage capacity, quickly determines the charging device whose actual available storage capacity meets the charging requirements of the electric vehicle, and improves the user experience.
  • FIG1 shows a schematic diagram of a scenario of an electric vehicle charging device provided by an embodiment of the present application.
  • a charging device is composed of a BMS and five energy storage units, and the dotted box indicates that the energy storage unit is faulty.
  • the actual available storage capacity of the charging device is the sum of the storage capacities of the five energy storage units, such as charging device 2.
  • Energy storage unit 4 of charging device 1 is in a faulty state, and its actual available storage capacity is the sum of the storage capacities of energy storage unit 1, energy storage unit 2, and energy storage unit 3. If energy storage unit 1 of charging device 3 is in a faulty state, there is no actual available storage capacity and power cannot be supplied to the outside.
  • the electronic device is used as the execution subject to execute the electric vehicle charging equipment determination method of the following embodiment.
  • the execution subject can be a hardware device of the electronic device, or a software application that implements the following embodiment in the electronic device, or a computer-readable storage medium installed with the software application that implements the following embodiment, or a code that implements the software application of the following embodiment.
  • FIG2 shows a flow chart of a method for determining an electric vehicle charging device provided by an embodiment of the present application.
  • the electronic device is used as the execution subject
  • the charging device includes a BMS and multiple energy storage units
  • the BMS controls the energy storage unit to supply power to the outside.
  • the method of this embodiment may include the following steps:
  • S201 obtaining user order information and the working status of an energy storage unit in at least one first charging device, wherein the user order information includes the amount of electricity required by the electric vehicle, and the first charging device is Charging equipment in idle state with BMS working normally;
  • the normal operation of the BMS can ensure that the first charging device can supply power to the outside to meet the charging needs of the user when the power storage is sufficient. If the BMS cannot work normally, the charging device is a faulty device.
  • S202 Determine a target charging device from the first charging devices according to user order information, a working status of an energy storage unit of at least one first charging device, and a storage capacity of the first charging devices.
  • the working state of the energy storage unit of the first charging device directly affects the storage capacity of the first charging device, where the storage capacity refers to the available storage capacity.
  • the storage capacity of the first charging device can be determined according to the working state of the energy storage unit of the first charging device.
  • the electric vehicle charging device determination method provided in this embodiment obtains user order information, determines the amount of electricity required by the user, obtains the working status of the energy storage unit of the first charging device, determines the amount of storage capacity of the first charging device, and determines the target device from the first charging device to charge the user's electric vehicle.
  • This method can quickly determine the first charging device that is actually available, avoids the problem that the available storage capacity indicated by the charging device selected by the user is inconsistent with the actual available storage capacity, and improves the user experience.
  • the working state of the energy storage unit includes a normal state and a fault state.
  • the position of the energy storage unit in the charging device will directly affect the actual available storage capacity of the charging device.
  • the energy storage unit in the faulty state and the energy storage unit located below the energy storage unit are unable to supply power to the outside, and the actual available storage capacity of the charging device is the sum of the storage capacities of the energy storage units above the faulty energy storage unit.
  • the specific implementation method of step S202 may be: from the first charging device, determine at least one second charging device whose multiple energy storage units are all in normal state; from the second charging device, determine at least one third charging device whose storage capacity meets the power required by the electric vehicle, wherein the storage capacity is the sum of the storage capacities of the multiple energy storage units in the second charging device; and determine the target charging device from the third charging device.
  • a charging device whose energy storage units are all in normal state and whose storage capacity meets the power required by the user's order is selected as the target charging device.
  • This method for determining electric vehicle charging devices selects charging devices whose energy storage units are all in normal state, and whose actual available storage capacity is the sum of the storage capacity of multiple energy storage units. When the storage capacity meets the power required by the user, all of them can be used as target charging devices, and there is no problem that the indicated available storage capacity does not match the actual available storage capacity.
  • determining the target charging device from the third charging devices may be determining the third charging device with the best SOH or the largest amount of power storage as the target charging device.
  • SOH stands for state of health, which can be understood as the percentage of the current storage capacity of the charging equipment to the factory storage capacity.
  • the method of this embodiment determines the target charging device after determining that the energy storage units of at least one third charging device are all in normal state and the storage capacity meets the power demand of the user's order.
  • the third charging device with the best SOH or the third charging device with the largest storage capacity can be selected. Selecting the third charging device with the best SOH avoids the large difference in the degree of wear of multiple charging devices and reduces the operator's operation and maintenance workload. Selecting the third charging device with the largest storage capacity can avoid the problem of unstable power supply during user use.
  • the specific implementation method of step S202 may be: determine that at least one energy storage unit of each of the first charging devices is in a faulty state; determine at least one fourth charging device from the first charging devices, and the energy storage unit of the fourth charging device in a faulty state is not adjacent to the BMS; determine the storage capacity of the fourth charging device, and the storage capacity of the fourth charging device is the sum of the storage capacities of all energy storage units located above the energy storage unit in the faulty state; determine at least one fifth charging device from the fourth charging devices, whose storage capacity meets the power required by the electric vehicle; and determine the target charging device from the fifth charging device.
  • the method of this embodiment is to determine at least one fourth charging device when all first charging devices have faulty energy storage units, and the energy storage unit adjacent to the BMS in the fourth charging device is in a normal state, that is, the fourth charging device can supply power to the outside, and the storage capacity can be used as the target charging device when the storage capacity meets the user's required capacity.
  • the storage capacity here refers to the sum of the storage capacities of the energy storage units above the faulty energy storage unit.
  • the method of this embodiment can quickly determine the target charging device, and the actual available storage capacity of the charging device meets the user's required capacity.
  • determining the target charging device from the fifth charging devices may be determining the fifth charging device with the best SOH or the largest amount of power storage as the target charging device.
  • the method further includes: determining at least two sixth charging devices as target charging devices from the fourth charging devices, and the sum of the power storage capacity of the at least two sixth charging devices meets the power required by the electric vehicle.
  • the method of this embodiment takes into account that the storage capacity of a single fourth charging device is lower than the power required by the user. At least two charging devices can be selected to charge the user's electric vehicle in sequence to meet the user's electric vehicle power demand.
  • FIG3 shows a schematic diagram of the structure of an electric vehicle charging equipment determination device 30 provided in an embodiment of the present application.
  • the charging device includes a battery management system BMS and multiple energy storage units, and the BMS controls the energy storage units to supply power to the outside.
  • the electric vehicle charging equipment determination device 30 of this embodiment includes:
  • the acquisition module 301 is used to acquire user order information and the working status of the energy storage unit in at least one first charging device, wherein the user order information includes the power required by the electric vehicle, and the first charging device is a charging device in an idle state and the BMS is working normally;
  • the determination module 302 is used to determine a target charging device from the first charging devices according to the user order information, the working state of the energy storage unit of at least one first charging device and the storage capacity of the first charging device.
  • the electric vehicle charging equipment determination device 30 provided in the embodiment of the present application can execute the above method embodiment. Its specific implementation principle and technical effects can be found in the above method embodiment, and this embodiment will not be repeated here.
  • FIG4 shows a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application.
  • the electronic device 40 is used to implement the operation corresponding to the electronic device in any of the above method embodiments.
  • the electronic device 40 of this embodiment may include: a memory 401 and a processor 402.
  • the memory 401 is used to store computer programs.
  • the memory 401 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (NVM), such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a disk or an optical disk.
  • RAM high-speed random access memory
  • NVM non-volatile memory
  • the memory 401 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (NVM), such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a disk or an optical disk.
  • NVM non-volatile memory
  • Processor 402 is used to execute the computer program stored in the memory to implement the electric vehicle charging equipment determination method in the above embodiment.
  • the processor 402 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc.
  • the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.
  • the steps of the method disclosed in the invention can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor.
  • the memory 401 may be independent or integrated with the processor 402 .
  • the electronic device 40 may further include a bus.
  • the bus is used to connect the memory 401 and the processor 402.
  • the bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus.
  • ISA Industry Standard Architecture
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the bus may be divided into an address bus, a data bus, a control bus, and the like.
  • the bus in the drawings of the present application is not limited to only one bus or one type of bus.
  • the electronic device provided in this embodiment can be used to execute the above-mentioned electric vehicle charging equipment determination method. Its implementation method and technical effect are similar, and this embodiment will not be repeated here.
  • the present application also provides a computer-readable storage medium, in which a computer program is stored.
  • a computer program When the computer program is executed by a processor, it is used to implement the methods provided in the various embodiments described above.
  • the computer-readable storage medium can be a computer storage medium or a communication medium.
  • Communication media include any medium that facilitates the transmission of computer programs from one place to another.
  • Computer storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.
  • a computer-readable storage medium is coupled to a processor so that the processor can read information from the computer-readable storage medium and write information to the computer-readable storage medium.
  • the computer-readable storage medium can also be a component of the processor.
  • the processor and the computer-readable storage medium can be located in an application-specific integrated circuit (ASIC).
  • the ASIC can be located in a user device.
  • the processor and the computer-readable storage medium can also exist in a communication device as discrete components.
  • the computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EPROM erasable programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic storage flash memory
  • flash memory magnetic disk or optical disk.
  • optical disk any available media that can be accessed by a general purpose or special purpose computer.
  • the present application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor of a device can read the computer program from the computer-readable storage medium, and at least one processor executes the computer program so that the device implements the methods provided in the various embodiments described above.
  • the disclosed devices and methods can be implemented in other ways.
  • the device embodiments described above are only schematic.
  • the division of modules is only a logical function division. There may be other division methods in actual implementation.
  • multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.
  • Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.
  • each module can be physically separated, for example, installed in different locations of a device, or installed on different devices, or distributed on multiple network units, or distributed on multiple processors.
  • Each module can also be integrated together, for example, installed in the same device, or integrated in a set of codes.
  • Each module can exist in the form of hardware, or can also exist in the form of software, or can also be implemented in the form of software plus hardware. The present application can select some or all of the modules according to actual needs to achieve the purpose of the present embodiment.

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Abstract

一种电动汽车充电设备确定方法、装置、电子设备、计算机可读存储介质及计算机程序产品，充电设备包括电池管理***BMS和多个储能单元，电池管理***BMS控制储能单元向外供电，该方法包括：获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，用户订单信息包括电动汽车所需电量，第一充电设备是处于空闲状态且电池管理***BMS正常工作的充电设备，根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备。该方法能够快速确定实际可用储电量满足电动汽车充电需求的目标充电设备。

Description

电动汽车充电设备确定方法、装置、设备和存储介质
本申请要求于2022年12月2日提交中国专利局、申请号为202211535053.4、申请名称为“电动汽车充电设备确定方法、装置、设备和存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请实施例涉及计算机技术领域，尤其涉及一种电动汽车充电设备确定方法、装置、设备和存储介质。
背景技术
电动汽车作为新能源的重要终端，已逐渐取代传统燃油汽车成为重要的交通工具之一。受电池容量的限制，电动汽车的充电问题是影响电动汽车普及的关键问题。
目前，电动汽车需要充电时，用户首先寻找充电桩部署位置，然后在多个充电桩中选择位置空闲且能够正常使用的充电桩为电动汽车充电。同样，当用户选用部署在固定位置的充电设备为电动汽车充电时，也需要从多个充电设备中选择合适的充电设备。
而电动汽车用户选择充电设备，可能会由于充电设备故障或电量不足等原因，难以快速确定目标充电设备，导致用户体验差。
发明内容
本申请提供一种电动汽车充电设备确定方法、装置、设备和存储介质，用以解决目标充电设备难以快速确定的问题。
第一方面，本申请提供一种电动汽车充电设备确定方法，充电设备包括电池管理***(Battery Management System，BMS)和多个储能单元，BMS控制储能单元向外供电，方法包括：
获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，其中，用户订单信息包括电动汽车所需电量，第一充电设备是处于空闲状态且BMS正常工作的充电设备；
根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备。
在一些实施例中，储能单元的工作状态包括正常状态和故障状态。
在一些实施例中，根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备，包括：
从第一充电设备中，确定多个储能单元均为正常状态的至少一个第二充电设备；
从第二充电设备中，确定储电量满足电动汽车所需电量的至少一个第三充电设备，其中，储电量为第二充电设备中多个储能单元的储电量之和；
从第三充电设备中确定目标充电设备。
在一些实施例中，从第三充电设备中确定目标充电设备，包括：
确定健康状态(State of Health，SOH)最优或者储电量最多的第三充电设备为目标充电设备。
在一些实施例中，根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备，包括：
确定第一充电设备均存在至少一个储能单元的工作状态为故障状态；
从第一充电设备中，确定至少一个第四充电设备，第四充电设备的故障状态的储能单元与BMS不相邻；
确定第四充电设备的储电量，第四充电设备的储电量为位于故障状态的储能单元上方的所有储能单元的储电量之和；
从第四充电设备中，确定储电量满足电动汽车所需电量的至少一个第五充电设备；
从第五充电设备中确定目标充电设备。
在一些实施例中，从第五充电设备中确定目标充电设备，包括：
确定SOH最优或者储电量最多的第五充电设备为目标充电设备。
在一些实施例中，若第四充电设备的储电量均不满足电动汽车所需电量，方法还包括：
从第四充电设备中，确定至少两个第六充电设备为目标充电设备，至少两个第六充电设备的储电量之和满足电动汽车所需电量。
第二方面，本申请提供一种电动汽车充电设备确定装置，充电设备包括电池管理***BMS和多个储能单元，BMS控制储能单元向外供电，装置包括：
获取模块，用于获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，其中，用户订单信息包括电动汽车所需电量，第一充电设备是处于空闲状态，且BMS正常工作的充电设备；
确定模块，用于根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备。
第三方面，本申请提供一种电子设备，包括：存储器和处理器；
存储器用于存储计算机程序；
处理器用于执行存储器存储的计算机程序，实现第一方面及第一方面任一种实施例中的电动汽车充电设备确定方法。
第四方面，本申请提供一种计算机可读存储介质，计算机可读存储介质中存储有计算机程序，该计算机程序被处理器执行时，实现第一方面及第一方面任一种实施例中的电动汽车充电设备确定方法。
第五方面，本申请提供一种计算机程序产品，计算机程序产品包括计算机程序，该计算机程序被处理器执行时，实现第一方面及第一方面任一种实施例中的电动汽车充电设备确定方法。
本申请提供的电动汽车充电设备确定方法、装置、设备和存储介质，通过获取用户订单信息和至少一个第一充电设备内储能单元的工作状态，确定电动汽车所需电量以及第一充电设备的储电量。根据至少一个第一充电设备的储能单元的工作状态以及第一充电设备的储电量，确定满足电动汽车所需电量的第一充电设备为目标充电设备。这一方法能够快速确定实际可用储电量满足电动汽车充电需求的充电设备，提升用户体验。
附图说明
为了更清楚地说明本申请或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本申请一实施例提供的电动汽车充电设备的场景示意图；
图2为本申请一实施例提供的一种电动汽车充电设备确定方法的流程图；
图3为本申请一实施例提供的一种电动汽车充电设备确定装置的结构示意图；
图4为本申请一实施例提供的一种电子设备的硬件结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请中的附图，对本申请中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换。例如，在不脱离本文范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。
随着新能源电动汽车逐渐普及，电动汽车的充电问题也越来越受到运营商的重视。目前较为常见的电动汽车充电方式为电动汽车在空闲且无故障的充电桩处直接充电。此外，运营商还可以部署充电设备，充电设备由BMS和多个储能单元依次堆叠而成，其储电量为多个储能单元的储电量之和，电动汽车用户选择剩余储电量充足的充电设备为电动汽车充电。
但是，若充电设备存在某个储能单元发生故障，该储能单元及其下方的储能单元均不能向外供电，而充电设备的指示可用储电量仍为所有储能单元的储电量之和，此时，用户选择的充电设备实际可用储电量并不能满 足电动汽车充电需求，这就导致用户难以快速确定实际可用的充电设备。
针对上述问题，本申请提出了一种电动汽车充电设备确定方法、装置、设备和存储介质。本申请的电动汽车充电设备确定方法，通过获取用户订单信息，确定电动汽车所需电量，获取至少一个第一充电设备内储能单元的工作状态，根据至少一个第一充电设备的储能单元的工作状态以及第一充电设备的储电量，确定满足电动汽车所需电量的第一充电设备为目标充电设备。这一方法，基于对充电设备中储能单元的工作状态的考虑，避免了充电设备的实际可用储电量低于指示可用储电量造成的问题，快速确定实际可用储电量满足电动汽车充电需求的充电设备，提升用户体验。
下面以具体地实施例对本申请的技术方案进行详细说明。下面这几个具体的实施例可以相互结合，对于相同或相似的概念或过程可能在某些实施例不再赘述。
图1示出了本申请一实施例提供的电动汽车充电设备的场景示意图。如图1所示，一个充电设备由BMS和五个储能单元组成，虚线框表示该储能单元故障。在五个储能单元均为正常状态时，该充电设备的实际可用储电量为五个储能单元的储电量之和，例如充电设备2。充电设备1的储能单元4为故障状态，其实际可用储电量即为储能单元1、储能单元2以及储能单元3的储电量之和。充电设备3的储能单元1为故障状态，则不存在实际可用储电量，不能向外供电。
本申请中，以电子设备为执行主体，执行如下实施例的电动汽车充电设备确定方法。具体地，该执行主体可以为电子设备的硬件装置，或者为电子设备中实现下述实施例的软件应用，或者为安装有实现下述实施例的软件应用的计算机可读存储介质，或者为实现下述实施例的软件应用的代码。
图2示出了本申请一实施例提供的一种电动汽车充电设备确定方法的流程图。如图2所示，以电子设备为执行主体，充电设备包括BMS和多个储能单元，BMS控制储能单元向外供电，本实施例的方法可以包括如下步骤：
S201、获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，其中，用户订单信息包括电动汽车所需电量，第一充电设备是处 于空闲状态且BMS正常工作的充电设备；
本实施例中，BMS正常工作可确保第一充电设备在储电量足够时，能够向外供电，满足用户充电需求。若BMS不能正常工作，该充电设备为故障设备。
S202、根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备。
本实施例中，第一充电设备的储能单元的工作状态直接影响第一充电设备的储电量，此处，储电量是指可使用的储电量。根据第一充电设备的储能单元的工作状态可确定第一充电设备的储电量。
本实施例提供的电动汽车充电设备确定方法，通过获取用户订单信息，确定用户所需电量，获取第一充电设备的储能单元的工作状态，确定第一充电设备的储电量，从第一充电设备中确定目标设备为用户电动汽车充电。这一方法，能够快速确定实际可用的第一充电设备，避免用户自行选择的充电设备指示可用储电量与实际可用储电量不符的问题，提升用户体验。
在一些实施例中，储能单元的工作状态包括正常状态和故障状态。
本实施例中，储能单元若为故障状态，该储能单元在充电设备中所处的位置则会直接影响该充电设备的实际可用储电量。故障状态的储能单元及位于该储能单元下方的储能单元，均无法向外供电，该充电设备的实际可用储电量为故障储能单元上方的储能单元储电量之和。
在一些实施例中，步骤S202的具体实现方式可以是：从第一充电设备中，确定多个储能单元均为正常状态的至少一个第二充电设备；从第二充电设备中，确定储电量满足电动汽车所需电量的至少一个第三充电设备，其中，储电量为第二充电设备中多个储能单元的储电量之和；从第三充电设备中确定目标充电设备。
本实施例中，若部分第一充电设备的储能单元存在故障，则选择储能单元均为正常状态且储电量满足用户订单需求电量的充电设备作为目标充电设备。这一电动汽车充电设备确定方法，选择储能单元均为正常状态的充电设备，其实际可用储电量即为多个储能单元的储电量之和，在储电量满足用户所需电量时，均可作为目标充电设备，而不存在指示可用储电量与实际可用储电量不符的问题。
在一些实施例中，从第三充电设备中确定目标充电设备，可以为确定SOH最优或者储电量最多的第三充电设备为目标充电设备。
其中，SOH表示健康状态，可理解为充电设备当前的储电容量占出厂储电容量的百分比。
本实施例的方法，在确定储能单元均为正常状态且储电量满足用户订单需求电量的至少一个第三充电设备后，从中确定目标充电设备，可以选择SOH最优的第三充电设备，也可以选择储电量最多的第三充电设备。选择SOH最优的第三充电设备，避免了多个充电设备的磨损程度差异较大，降低了运营商的运维工作量。选择储电量最多的第三充电设备，可避免用户使用过程中发生供电不稳定的问题。
在一些实施例中，步骤S202的具体实现方式可以是：确定第一充电设备均存在至少一个储能单元的工作状态为故障状态；从第一充电设备中，确定至少一个第四充电设备，第四充电设备的故障状态的储能单元与BMS不相邻；确定第四充电设备的储电量，第四充电设备的储电量为位于故障状态的储能单元上方的所有储能单元的储电量之和；从第四充电设备中，确定储电量满足电动汽车所需电量的至少一个第五充电设备；从第五充电设备中确定目标充电设备。
本实施例的方法，是在第一充电设备均存在故障的储能单元时，确定至少一个第四充电设备，第四充电设备中与BMS相邻的储能单元是正常状态，即第四充电设备可以向外供电，储电量满足用户所需电量时即可作为目标充电设备。这里的储电量是指故障的储能单元上方的储能单元储电量之和。本实施例的方法，可快速确定目标充电设备，该充电设备的实际可用储电量满足用户所需电量。
在一些实施例中，从第五充电设备中确定目标充电设备，可以为确定SOH最优或者储电量最多的第五充电设备为目标充电设备。
本实施例的技术效果与前述一实施例的技术效果类似，此处不再赘述。
在一些实施例中，若第四充电设备的储电量均不满足电动汽车所需电量，方法还包括：从第四充电设备中，确定至少两个第六充电设备为目标充电设备，至少两个第六充电设备的储电量之和满足电动汽车所需电量。
本实施例的方法，考虑到单个第四充电设备的储电量低于用户所需电 量，可以选择至少两个充电设备先后为用户电动汽车充电，满足用户电动汽车用电需求。
图3示出了本申请一实施例提供的一种电动汽车充电设备确定装置30的结构示意图。其中，充电设备包括电池管理***BMS和多个储能单元，BMS控制储能单元向外供电。如图3所示，本实施例的电动汽车充电设备确定装置30包括：
获取模块301，用于获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，其中，用户订单信息包括电动汽车所需电量，第一充电设备是处于空闲状态，且BMS正常工作的充电设备；
确定模块302，用于根据用户订单信息、至少一个第一充电设备的储能单元的工作状态和第一充电设备的储电量，从第一充电设备中确定目标充电设备。
本申请实施例提供的电动汽车充电设备确定装置30，可执行上述方法实施例，其具体实现原理和技术效果，可参见上述方法实施例，本实施例此处不再赘述。
图4示出了本申请实施例提供的一种电子设备的硬件结构示意图。如图4所示，该电子设备40，用于实现上述任一方法实施例中对应于电子设备的操作，本实施例的电子设备40可以包括：存储器401，处理器402。
存储器401，用于存储计算机程序。该存储器401可能包含高速随机存取存储器(Random Access Memory，RAM)，也可能还包括非易失性存储(Non-Volatile Memory，NVM)，例如至少一个磁盘存储器，还可以为U盘、移动硬盘、只读存储器、磁盘或光盘等。
处理器402，用于执行存储器存储的计算机程序，以实现上述实施例中的电动汽车充电设备确定方法。具体可以参见前述方法实施例中的相关描述。该处理器402可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合发明所公开的方法的步骤可以直接体现为硬件处理器执行完成，或者用处理器中的硬件及软件模块组合执行完成。
可选地，存储器401既可以是独立的，也可以跟处理器402集成在一起。
当存储器401是独立于处理器402之外的器件时，电子设备40还可以包括总线。该总线用于连接存储器401和处理器402。该总线可以是工业标准体系结构(Industry Standard Architecture，ISA)总线、外部设备互连(Peripheral Component Interconnect，PCI)总线或扩展工业标准体系结构(Extended Industry Standard Architecture，EISA)总线等。总线可以分为地址总线、数据总线、控制总线等。为便于表示，本申请附图中的总线并不限定仅有一根总线或一种类型的总线。
本实施例提供的电子设备可用于执行上述的电动汽车充电设备确定方法，其实现方式和技术效果类似，本实施例此处不再赘述。
本申请还提供一种计算机可读存储介质，计算机可读存储介质中存储有计算机程序，计算机程序被处理器执行时用于实现上述的各种实施方式提供的方法。
其中，计算机可读存储介质可以是计算机存储介质，也可以是通信介质。通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。计算机存储介质可以是通用或专用计算机能够存取的任何可用介质。例如，计算机可读存储介质耦合至处理器，从而使处理器能够从该计算机可读存储介质读取信息，且可向该计算机可读存储介质写入信息。当然，计算机可读存储介质也可以是处理器的组成部分。处理器和计算机可读存储介质可以位于专用集成电路(Application Specific Integrated Circuits，ASIC)中。另外，该ASIC可以位于用户设备中。当然，处理器和计算机可读存储介质也可以作为分立组件存在于通信设备中。
具体地，该计算机可读存储介质可以是由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(Static Random-Access Memory，SRAM)，电可擦除可编程只读存储器(Electrically-Erasable Programmable Read-Only Memory，EEPROM)，可擦除可编程只读存储器(Erasable Programmable Read Only Memory，EPROM)，可编程只读存储器(Programmable read-only memory，PROM)，只读存储器(Read-Only Memory，ROM)，磁存储器，快闪存储器，磁盘或光盘。存储介质可以是 通用或专用计算机能够存取的任何可用介质。
本申请还提供一种计算机程序产品，该计算机程序产品包括计算机程序，该计算机程序存储在计算机可读存储介质中。设备的至少一个处理器可以从计算机可读存储介质中读取该计算机程序，至少一个处理器执行该计算机程序使得设备实施上述的各种实施方式提供的方法。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅是示意性的，例如，模块的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个模块可以结合或者可以集成到另一个***，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或模块的间接耦合或通信连接，可以是电性，机械或其它的形式。
其中，各个模块可以是物理上分开的，例如安装于一个的设备的不同位置，或者安装于不同的设备上，或者分布到多个网络单元上，或者分布到多个处理器上。各个模块也可以是集成在一起的，例如，安装于同一个设备中，或者，集成在一套代码中。各个模块可以以硬件的形式存在，或者也可以以软件的形式存在，或者也可以采用软件加硬件的形式实现。本申请可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。
最后应说明的是：以上各实施例仅用以说明本申请的技术方案，而非对其限制。尽管参照前述各实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换。而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的范围。

Claims (10)

  1. 一种电动汽车充电设备确定方法，其特征在于，所述充电设备包括电池管理***BMS和多个储能单元，所述BMS控制所述储能单元向外供电，所述方法包括：
    获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，其中，所述用户订单信息包括所述电动汽车所需电量，所述第一充电设备是处于空闲状态且BMS正常工作的充电设备；
    根据所述用户订单信息、所述至少一个第一充电设备的储能单元的工作状态和所述第一充电设备的储电量，从所述第一充电设备中确定目标充电设备。
  2. 根据权利要求1所述的方法，其特征在于，所述储能单元的工作状态包括正常状态和故障状态；
    所述根据所述用户订单信息、所述至少一个第一充电设备的储能单元的工作状态和所述第一充电设备的储电量，从所述第一充电设备中确定目标充电设备，包括：
    从所述第一充电设备中，确定所述多个储能单元均为正常状态的至少一个第二充电设备；
    从所述第二充电设备中，确定储电量满足所述电动汽车所需电量的至少一个第三充电设备，其中，所述储电量为所述第二充电设备中多个储能单元的储电量之和；
    从所述第三充电设备中确定目标充电设备。
  3. 根据权利要求2所述的方法，其特征在于，所述从所述第三充电设备中确定目标充电设备，包括：
    确定健康状态SOH最优或者储电量最多的所述第三充电设备为目标充电设备。
  4. 根据权利要求1所述的方法，其特征在于，所述储能单元的工作状态包括正常状态和故障状态；
    所述根据所述用户订单信息、所述至少一个第一充电设备的储能单元的工作状态和所述第一充电设备的储电量，从所述第一充电设备中确定目标充电设备，包括：
    确定所述第一充电设备均存在至少一个储能单元的工作状态为故障状态；
    从所述第一充电设备中，确定至少一个第四充电设备，所述第四充电设备的所述故障状态的储能单元与所述BMS不相邻；
    确定所述第四充电设备的储电量，所述第四充电设备的储电量为位于所述故障状态的储能单元上方的所有储能单元的储电量之和；
    从所述第四充电设备中，确定所述储电量满足所述电动汽车所需电量的至少一个第五充电设备；
    从所述第五充电设备中确定目标充电设备。
  5. 根据权利要求4所述的方法，其特征在于，所述从所述第五充电设备中确定目标充电设备，包括：
    确定SOH最优或者储电量最多的所述第五充电设备为目标充电设备。
  6. 根据权利要求4所述的方法，其特征在于，若所述第四充电设备的储电量均不满足所述电动汽车所需电量，所述方法还包括：
    从所述第四充电设备中，确定至少两个第六充电设备为目标充电设备，所述至少两个第六充电设备的储电量之和满足所述电动汽车所需电量。
  7. 一种电动汽车充电设备确定装置，其特征在于，所述充电设备包括电池管理***BMS和多个储能单元，所述BMS控制所述储能单元向外供电，所述装置包括：
    获取模块，用于获取用户订单信息以及至少一个第一充电设备内储能单元的工作状态，其中，所述用户订单信息包括所述电动汽车所需电量，所述第一充电设备是处于空闲状态，且BMS正常工作的充电设备；
    确定模块，用于根据所述用户订单信息、所述至少一个第一充电设备的储能单元的工作状态和所述第一充电设备的储电量，从所述第一充电设备中确定目标充电设备。
  8. 一种电子设备，其特征在于，所述设备包括：存储器和处理器；
    所述存储器用于存储计算机程序；
    所述处理器用于执行所述存储器存储的计算机程序，实现如权利要求1-6任一项所述的电动汽车充电设备确定方法。
  9. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有计算机程序，所述计算机程序被处理器执行时用于实现如权利要求1- 6任一项所述的电动汽车充电设备确定方法。
  10. 一种计算机程序产品，其特征在于，所述计算机程序产品包括计算机程序，所述计算机程序被处理器执行时实现权利要求1-6任一项所述的电动汽车充电设备确定方法。
PCT/CN2023/135476 2022-12-02 2023-11-30 电动汽车充电设备确定方法、装置、设备和存储介质 WO2024114737A1 (zh)

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