WO2022262583A1 - 电池健康状态测算方法以及相关设备 - Google Patents

电池健康状态测算方法以及相关设备 Download PDF

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WO2022262583A1
WO2022262583A1 PCT/CN2022/096655 CN2022096655W WO2022262583A1 WO 2022262583 A1 WO2022262583 A1 WO 2022262583A1 CN 2022096655 W CN2022096655 W CN 2022096655W WO 2022262583 A1 WO2022262583 A1 WO 2022262583A1
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charging
vehicle
battery
soc
information
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PCT/CN2022/096655
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English (en)
French (fr)
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瞿松松
冯光文
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深圳市道通科技股份有限公司
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Publication of WO2022262583A1 publication Critical patent/WO2022262583A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC

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  • the embodiments of the present invention relate to the technical field of new energy vehicles, and in particular to a battery health state measurement method and related equipment.
  • the battery provides the power source for the vehicle, which determines the maximum mileage of the new energy vehicle.
  • the battery capacity will decay, and the state of health (State Of Health, SOH) of the battery will decrease. Therefore, the health status of the battery is very important for the use and maintenance of new energy vehicles.
  • an embodiment of the present invention provides a battery state of health measurement method and related equipment, which are used to solve the problem of low efficiency of battery state of health measurement for new energy vehicles in the prior art.
  • a battery state of health calculation method which is applied to a charging device; the method includes:
  • the vehicle information includes a VIN code; the method further includes:
  • the target battery capacity is determined according to the time interval, vehicle information and initial battery capacity.
  • the method also includes:
  • the battery decay curve including a correspondence between battery decay information and battery usage time
  • the target battery capacity is determined according to the target attenuation information and the initial battery capacity.
  • the charging parameters include charging current and charging time;
  • the SOC information includes the first SOC corresponding to the start time of the target charging segment of the vehicle to be charged and the target charging time.
  • the second SOC corresponding to the end time of the segment; the method also includes:
  • the state of health of the battery of the vehicle to be charged is determined according to the charging quantity, the variation of the SOC and the target battery capacity.
  • the method also includes:
  • the state of health of the battery is determined according to the ratio of the charged electric quantity to the electric quantity received by the battery.
  • the method also includes:
  • the SOC charging current curve includes a correspondence between the SOC and the charging current; the SOC charging current curve is determined according to the vehicle information .
  • the method also includes:
  • a battery state of health measuring device including:
  • a processor a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface complete mutual communication through the communication bus;
  • the memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations such as the method for calculating the state of health of the battery.
  • a computer-readable storage medium stores at least one executable instruction, and the executable instruction causes a battery health measurement device to perform the battery health status calculation The operation of the method.
  • a charging pile is provided, and the charging pile includes the battery health state measuring device.
  • the charging pile further includes a VCI device, and the VCI device is configured to obtain the vehicle information and the SOC information.
  • the embodiment of the present invention is applied to a charging device.
  • the vehicle information of the vehicle to be charged is acquired; the target battery capacity of the vehicle to be charged is determined according to the vehicle information; and the target charging capacity is obtained in response to the charging end operation.
  • the charging device directly obtains the charging parameters of the target charging section and the SOC information of the vehicle to be charged in real time, and determines the battery health status according to the SOC information, charging parameters, and the target battery capacity corresponding to the vehicle to be charged, thereby overcoming the current situation.
  • There are technical defects in the calculation of the battery health state caused by the big data model or laboratory simulation adopted in the technology are low in efficiency, which improves the efficiency of battery health state calculation.
  • FIG. 1 shows a schematic flowchart of a method for measuring and calculating a battery state of health provided by an embodiment of the present invention
  • Fig. 2 shows a schematic diagram of modules of a battery health state measurement system provided by an embodiment of the present invention
  • FIG. 3 shows a schematic structural diagram of a device for measuring and calculating the state of health of a battery provided by an embodiment of the present invention.
  • VCI Vehicle Communication Interface
  • vehicle communication interface used to connect with the communication interface of the on-board diagnostic system, so as to obtain the information of each ECU (Electronic Control Unit, electronic control unit, also known as driving computer) module in the vehicle control system.
  • ECU Electronic Control Unit, electronic control unit, also known as driving computer
  • SOC State Of Charge
  • SOC can be determined according to the ampere-hour integration method, open circuit voltage method, etc., and is generally expressed in the form of a percentage, which is used to represent the proportion of the current battery capacity to the battery capacity when it is fully charged.
  • SOH State Of Health, the state of health of the battery, which represents the charge and discharge capacity of the battery.
  • VIN code Vehicle Identification Number, the abbreviation of Vehicle Identification Number, is a set of 17 letters or numbers, which is used to identify the number of vehicles specifically, and can be used to identify the manufacturer, engine, chassis number and other performance information.
  • Fig. 1 shows a flowchart of a method for calculating a battery state of health provided by an embodiment of the present invention, and the method is executed by a computer processing device.
  • the computer processing device may include a charging pile, a charging cabinet, and the like. The following is a description of the battery health status calculation method using the charging device as the charging pile: As shown in Figure 1, the method includes the following steps:
  • Step 101 Obtain vehicle information of the vehicle to be charged in response to the charging start operation.
  • the charging start operation may be an operation in which the charging gun detected by the charging device establishes an electrical connection with the charging interface of the vehicle to be charged.
  • the charging gun is arranged on the charging pile for outputting AC or DC electric energy.
  • the vehicle to be charged may be an electric vehicle, an electric vehicle and other equipment containing storage batteries.
  • the vehicle information includes information such as VIN code, license plate number, vehicle model, vehicle manufacturer, factory date, and associated account number; wherein, the associated account number may include the mobile phone number associated with the vehicle to be charged, social network information, etc. Platform account and charging platform account, etc.; the charging platform is used to manage the charging equipment.
  • the above-mentioned vehicle information can be obtained by accessing the OBD interface of the vehicle to be charged through the VCI device, wherein the VCI device and the charging device are connected in a common wireless or wired way, wherein the wireless way includes WIFI, Bluetooth Wait. While the charging gun is connected to the vehicle to be charged, the VCI device establishes a communication connection with the OBD interface of the vehicle to be charged to which the charging gun is connected.
  • the vehicle information can also be obtained by the charging device by accessing a preset vehicle information platform, the charging device is wirelessly connected to the vehicle information platform, and multiple VIN codes or license plate numbers are stored in the vehicle information platform.
  • vehicle information may also be acquired by the charging device through a query based on a pre-stored vehicle database, and the vehicle database includes vehicle information of historical charging vehicles that have established connections with the charging device.
  • Step 102 Determine the target battery capacity of the vehicle to be charged according to the vehicle information.
  • the target battery capacity includes the rated battery capacity of the vehicle to be charged when it leaves the factory, which can represent the ideal battery capacity of the vehicle to be charged when the battery health is not damaged.
  • step 102 may also include:
  • Step 1021 Determine the manufacturer information, model information and production time of the vehicle to be charged according to the VIN code.
  • the vehicle database pre-stored by the charging device may be queried according to the VIN code.
  • the vehicle database includes multiple VIN codes and the manufacturer information, model information and production time associated with each VIN code.
  • the charging device after the charging device obtains the VIN code, it can also send the VIN code to the vehicle information platform for query, and determine the manufacturer information and vehicle model of the vehicle to be charged according to the information returned by the vehicle information platform. information and production time.
  • Step 1022 Determine the initial battery capacity of the vehicle to be charged according to the manufacturer information, model information and production time.
  • the initial battery capacity can be determined by looking up a table according to manufacturer information and model information.
  • the production batch of the vehicle to be charged can also be determined on the basis of the manufacturer's information and the vehicle model information combined with the production time. In this way, the query is performed according to the generated batch to determine the initial battery capacity.
  • Step 1023 Determine the time interval between the production time and the charging start time.
  • the time when the charging operation starts can be the time when it is detected that the charging plug of the charging pile is connected to the charging interface of the vehicle to be charged, such as 2021.5.14 15:00:00, and the production time can be 2019.5.14, so that the time interval for 2 years.
  • Step 1024 Determine the target battery capacity according to the time interval, vehicle information and initial battery capacity.
  • the attenuation characteristic information of the initial battery capacity of the vehicle to be charged has decayed with time since leaving the factory is determined according to the vehicle information, and the capacity attenuation duration is determined according to the time interval, so that according to the attenuation characteristic information and the capacity attenuation duration at the initial The target battery capacity is determined on the basis of the battery capacity.
  • the attenuation feature information may include an attenuation ratio per unit time, an attenuation amount per unit time, and the like.
  • step 1024 also includes at least:
  • Step 241 Determine the battery decay curve of the vehicle to be charged according to the vehicle information; the battery decay curve includes a correspondence between battery decay information and battery usage time.
  • the battery decay curve may be obtained by learning from big data of vehicles of the same type as the vehicle to be charged.
  • the same type of vehicle includes the same manufacturer and the same model as the vehicle to be charged.
  • the battery decay information may include a battery capacity decay value, a battery capacity decay ratio, and the like.
  • the battery usage time can be calculated from the time the vehicle leaves the factory, or it can be converted according to the mileage traveled by the vehicle.
  • Step 242 Determine target decay information according to the time interval and the battery capacity decay curve.
  • the time interval is used as the target battery usage time, and battery decay information corresponding to the target battery usage time is determined as the target decay information on the battery decay curve.
  • Step 243 Determine the target battery capacity according to the target decay information and the initial battery capacity.
  • Step 103 Acquiring charging parameters of the charging equipment and SOC information of the vehicle to be charged in the target charging segment in response to the charging end operation.
  • the charging end operation may be an operation in which the charging device detects that the charging gun is electrically disconnected from the charging interface of the vehicle to be charged.
  • the target charging period includes a time period between the charging start operation and the charging end operation.
  • the time corresponding to the charging start operation can be 2021.5.14 15:00:00
  • the time corresponding to the charging end operation can be 2021.5.14 17:00:00
  • the target charging period can be 2021.5.14 15:00: 00-17:00:00 Any time period in these 2 hours.
  • the duration of the target charging segment can be limited, such as greater than half an hour, or the interval position of the target charging segment in the entire charging process can be limited, such as The preset time period before the end of the charging operation, or determine the constant current charging stage and the constant voltage charging stage in the charging process according to the charging parameters, and determine either end of the constant current charging stage and the constant voltage charging stage as the target charging stage .
  • Step 104 Determine the state of health of the battery of the vehicle to be charged according to the charging parameters, the SOC information and the target battery capacity.
  • the battery state change information of the vehicle to be charged in the target charging section is determined according to the SOC information, thereby determining the chemical energy actually stored in the target charging section of the vehicle to be charged. Then determine the actual output power of the charging pile in the target charging section according to the charging parameters. Finally, the ratio between the actual output electrical energy and the actual stored chemical energy is determined as the battery health state.
  • the charging parameters include charging current and charging time;
  • the SOC information includes the first SOC corresponding to the start time of the target charging segment of the vehicle to be charged and the target The second SOC corresponding to the end time of the charging segment;
  • Step 104 also includes at least:
  • Step 1041 Calculate according to the charging current and the charging time to obtain the charging quantity corresponding to the target charging segment.
  • the charging time is integrated according to the charging current to obtain the charging quantity in the target charging period.
  • step 1041 also includes at least:
  • Step 411 Determine the charging efficiency of the vehicle to be charged according to the vehicle information.
  • the charging efficiency refers to the energy conversion efficiency between the electrical energy output by the charging pile and the chemical energy stored in the battery during the charging process.
  • Determining the charging efficiency according to the vehicle information may be to obtain corresponding charging efficiency parameters according to the manufacturer information and vehicle model information.
  • the charging efficiency parameter is generally calculated and provided by the manufacturer before the vehicles of each model leave the factory.
  • the charging efficiency is generally 95%-80%.
  • Step 412 Perform calculation according to the charging efficiency, the charging current and the charging time to obtain the charging quantity.
  • the charging power can be calculated using the ampere-hour integral method, and the calculation formula is as follows:
  • n is the charging efficiency
  • I is the charging current
  • t0 is the start time of the target charging segment
  • t1 is the end time of the target charging segment
  • d ⁇ represents the integral of I to time.
  • Step 1042 Determine the SOC variation of the vehicle to be charged in the target charging segment according to the first SOC and the second SOC.
  • SOC variation second SOC ⁇ first SOC.
  • the process of determining the amount of SOC variation may also include:
  • Step 421 Determine whether the charging current meets a current threshold.
  • the current threshold can be determined according to the big data of the same type of vehicle as the vehicle to be charged in step 241 .
  • the current threshold is used to represent that the change between the charging current output by the charging pile and the SOC of the vehicle to be charged satisfies a certain function law, such as linear relationship, exponential relationship, etc.
  • Step 422 If satisfied, determine the second SOC according to the SOC charging current curve.
  • the SOC charging current curve includes a corresponding relationship between the SOC and the charging current; the SOC charging current curve is determined according to the vehicle information.
  • the SOC charging current curve can be determined according to vehicle information obtained from big data of the same type of vehicles as described in step 241 .
  • Step 1043 Determine the state of health of the battery of the vehicle to be charged according to the charging quantity, SOC variation and target battery capacity.
  • the output power of the charging pile is determined according to the charging quantity, and the battery capacity that should be increased (that is, received and stored from the charging pile) of the vehicle to be charged is determined according to the SOC variation combined with the target battery capacity , and finally determine the ratio of the output power to the theoretically increased power as the battery health status of the vehicle to be charged.
  • step 1043 also includes at least:
  • Step 431 Determine the product of the target battery capacity and the SOC variation as the received battery power.
  • the target battery capacity is 45Ah
  • the SOC variation is 80%
  • Step 432 Determine the state of health of the battery according to the ratio of the charged power to the received power of the battery.
  • the charging power is 32Ah
  • the battery health status can also be displayed through a preset display device.
  • the display device may be a display screen arranged on the charging pile, or a mobile terminal associated with the vehicle to be charged.
  • Mobile terminals may include mobile phones, vehicle-mounted display devices, smart watches, and the like.
  • the vehicle information obtained in step 101 also includes associated device information, through which the communication connection between the charging pile and the above-mentioned mobile terminal is established, so as to send the battery health status to Associated mobile terminal equipment for display.
  • the charging pile can also receive a charging control instruction from an associated mobile terminal, and manage the charging process according to the charging control instruction.
  • the charging control instruction may include charging mode information.
  • the charging mode information may include fast charging mode, healthy charging mode, and the like.
  • the charging pile adjusts the charging parameters according to the charging mode information.
  • the charging pile can also determine the target charging current, target charging duration, and target charging mode according to the state of battery health, so as to charge the vehicle to be charged in the most efficient and most beneficial way to battery health.
  • the battery health calculation method provided by the embodiment of the present invention obtains the SOC information of the vehicle to be charged and the charging parameters of the target charging section, and determines the battery health status according to the charging parameters, SOC information, and the target battery capacity corresponding to the vehicle to be charged, so that it can It overcomes the technical defect of low battery health state calculation efficiency caused by the big data model or laboratory simulation adopted in the prior art, and improves the efficiency of battery health state calculation.
  • Fig. 2 shows a schematic diagram of modules of a system for measuring and calculating the state of health of a battery provided by an embodiment of the present invention.
  • the battery state of health measurement system 200 is one or more program modules, one or more program modules are stored in a memory, and are executed by one or more processors to complete the present application,
  • the module referred to in this application refers to a series of computer program instruction segments capable of accomplishing specific functions.
  • the battery state of health measurement system 200 includes: a first acquisition module 201 , a first determination module 202 , a second acquisition module 203 and a second determination module 204 .
  • the first acquiring module 201 is configured to acquire the vehicle information of the vehicle to be charged in response to the charging start operation;
  • a first determining module 202 configured to determine the target battery capacity of the vehicle to be charged according to the vehicle information
  • the second acquiring module 203 is configured to acquire the charging parameters of the charging equipment and the SOC information of the vehicle to be charged in the target charging segment in response to the charging end operation, and the target charging segment includes the The period of time between the above-mentioned end-of-charging operations;
  • the second determination module 204 is configured to determine the state of health of the battery of the vehicle to be charged according to the charging parameters, the SOC information and the target battery capacity.
  • the vehicle information includes a VIN code
  • the first determination module 202 is also configured to determine the manufacturer information, model information and production time of the vehicle to be charged according to the VIN code
  • the target battery capacity is determined according to the time interval, vehicle information and initial battery capacity.
  • the first determination module 202 is also configured to:
  • the battery decay curve including a correspondence between battery decay information and battery usage time
  • the target battery capacity is determined according to the target decay information and the initial battery capacity.
  • the charging parameters include charging current and charging time
  • the SOC information includes the first SOC corresponding to the start time of the target charging segment of the vehicle to be charged and the target charging time.
  • the second SOC corresponding to the end time of the segment; the first determining module 204 is also used for:
  • the state of health of the battery of the vehicle to be charged is determined according to the charging quantity, the variation of the SOC and the target battery capacity.
  • the second determination module 204 is also configured to:
  • the state of health of the battery is determined according to the ratio of the charged electric quantity to the electric quantity received by the battery.
  • the second determination module 204 is also configured to:
  • the SOC charging current curve includes a correspondence between the SOC and the charging current
  • the SOC charging current curve is determined according to the vehicle information .
  • the second determination module 204 is also configured to:
  • the battery health measurement system obtained by the embodiment of the present invention obtains the SOC information of the vehicle to be charged and the charging parameters of the target charging section, and determines its battery health status according to the charging parameters, SOC information, and the target battery capacity corresponding to the vehicle to be charged, so that it can It overcomes the technical defect of low battery health state calculation efficiency caused by the big data model or laboratory simulation adopted in the prior art, and improves the efficiency of battery health state calculation.
  • Fig. 3 shows a schematic structural diagram of a battery health state measuring and calculating device provided by an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the battery health state measuring and calculating device.
  • the battery health state measuring device may include: a processor (processor) 302 , a communication interface (Communications Interface) 304 , a memory (memory) 306 , and a communication bus 308 .
  • the processor 302 , the communication interface 304 , and the memory 306 communicate with each other through the communication bus 308 .
  • the communication interface 304 is used to communicate with network elements of other devices such as clients or other servers.
  • the processor 302 is configured to execute the system 200 for measuring and calculating the state of health of the battery, and may specifically execute the relevant steps in the above embodiments of the method for measuring and calculating the state of health of the battery.
  • the battery state of health measurement system 200 may include one or more program modules (refer to FIG. 2 ) composed of program codes, where the program codes include computer-executable instructions.
  • the processor 302 may be a central processing unit CPU, or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention.
  • One or more processors included in the battery state of health measurement device can be the same type of processor, such as one or more CPUs; or different types of processors, such as one or more CPUs and one or more ASICs .
  • the memory 306 is used to store the health status calculation program that constitutes the battery health status calculation system 200 .
  • the memory 306 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
  • the health status calculation program that makes up the battery health status calculation system 200 can be specifically called by the processor 302 to make the battery health status calculation device perform the following operations:
  • the target charging segment includes the time between the charging start operation and the charging end operation part;
  • the vehicle information includes a VIN code;
  • the health status calculation program that constitutes the battery health status calculation system 200 is invoked by the processor 302 to make the battery health status calculation device perform the following operations:
  • the target battery capacity is determined based on the time interval, the vehicle information and the initial battery capacity.
  • the health status calculation program of the battery health status calculation system 200 is invoked by the processor 302 so that the battery health status calculation device performs the following operations:
  • the battery decay curve includes a correspondence between battery decay information and battery usage time
  • the target battery capacity is determined according to the target decay information and the initial battery capacity.
  • the charging parameters include charging current and charging time;
  • the SOC information includes the first SOC corresponding to the start time of the target charging segment of the vehicle to be charged and the target charging time.
  • the second SOC corresponding to the end time of the segment;
  • the health status calculation program forming the battery health status calculation system 200 is called by the processor 302 to make the battery health status calculation device perform the following operations:
  • the health status calculation program of the battery health status calculation system 200 is invoked by the processor 302 so that the battery health status calculation device performs the following operations:
  • the state of health of the battery is determined according to the ratio of the charged electric quantity to the electric quantity received by the battery.
  • the code program constituting the battery state of health measurement system 200 is invoked by the processor 302 to enable the battery state of health measurement device to perform the following operations:
  • the second SOC is determined according to the SOC charging current curve; wherein, the SOC charging current curve includes the correspondence between the SOC and the charging current; the SOC charging current curve is determined according to the vehicle information .
  • the health status calculation program of the battery health status calculation system 200 is invoked by the processor 302 so that the battery health status calculation device performs the following operations:
  • the battery health measurement device obtained by the embodiment of the present invention obtains the SOC information of the vehicle to be charged and the charging parameters of the target charging section, and determines its battery health status according to the charging parameters, SOC information, and the target battery capacity corresponding to the vehicle to be charged, so that it can It overcomes the technical defect of low battery health state calculation efficiency caused by the big data model or laboratory simulation adopted in the prior art, and improves the efficiency of battery health state calculation.
  • An embodiment of the present invention provides a computer-readable storage medium, the storage medium stores at least one executable instruction, and when the executable instruction runs on the battery health status calculation device, the battery health status calculation device executes the above-mentioned The battery health state calculation method in any method embodiment.
  • the executable instruction can be used to make the battery health state measuring device perform the following operations:
  • the target charging segment includes the time between the charging start operation and the charging end operation part;
  • the vehicle information includes a VIN code; the executable instruction causes the battery health state measuring device to perform the following operations:
  • the target battery capacity is determined based on the time interval, the vehicle information and the initial battery capacity.
  • the executable instructions enable the battery health state measuring device to perform the following operations:
  • the battery decay curve includes a correspondence between battery decay information and battery usage time
  • the target battery capacity is determined according to the target decay information and the initial battery capacity.
  • the charging parameters include charging current and charging time;
  • the SOC information includes the first SOC corresponding to the start time of the target charging segment of the vehicle to be charged and the target charging time.
  • the second SOC corresponding to the end time of the segment;
  • the executable instruction causes the battery state of health measuring device to perform the following operations:
  • the executable instructions enable the battery health state measuring device to perform the following operations:
  • the state of health of the battery is determined according to the ratio of the charged electric quantity to the electric quantity received by the battery.
  • the executable instructions enable the battery health status calculation device to perform the following operations:
  • the SOC charging current curve includes a correspondence between the SOC and the charging current; the SOC charging current curve is determined according to the vehicle information .
  • the executable instructions enable the battery health state measuring device to perform the following operations:
  • the computer-readable storage medium provided by the embodiment of the present invention obtains the SOC information of the vehicle to be charged and the charging parameters of the target charging section, and determines its battery health status according to the charging parameters, SOC information, and the target battery capacity corresponding to the vehicle to be charged, thereby It can overcome the technical defect of low battery health state calculation efficiency caused by the big data model or laboratory simulation adopted in the prior art, and improves the efficiency of battery health state calculation.
  • An embodiment of the present invention provides a charging pile, and the charging pile includes the battery health measuring device.
  • the charging pile provided by the embodiment of the present invention obtains the SOC information of the vehicle to be charged and the charging parameters of the target charging section, and determines its battery health status according to the charging parameters, SOC information, and the target battery capacity corresponding to the vehicle to be charged, thereby being able to overcome the current situation.
  • There are technical defects in the calculation of the battery health state caused by the big data model or laboratory simulation adopted in the technology are low in efficiency, which improves the efficiency of battery health state calculation.
  • the charging pile further includes a VCI device, and the VCI device is configured to obtain the vehicle information and the SOC information.
  • the charging pile provided by the embodiment of the present invention establishes communication with the vehicle to be charged through the VCI device, so as to obtain the SOC information of the vehicle to be charged, and then determine the corresponding target battery capacity according to the charging parameters and SOC information of the target charging section and the corresponding target battery capacity of the vehicle to be charged.
  • Battery health status so as to overcome the technical defect of low battery health status calculation efficiency caused by the big data model or laboratory simulation adopted in the prior art, and improve the efficiency of battery health status calculation.
  • An embodiment of the present invention provides a device for measuring and calculating battery health, which is used to implement the above method for measuring and calculating battery health.
  • An embodiment of the present invention provides a computer program, and the computer program can be invoked by a processor to cause a battery health measuring device to execute the battery health measuring method in any of the foregoing method embodiments.
  • An embodiment of the present invention provides a computer program product.
  • the computer program product includes a computer program stored on a computer-readable storage medium.
  • the computer program includes program instructions.

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Abstract

一种电池健康状态测算方法，涉及新能源汽车技术领域，该方法包括：响应于充电开始操作，获取待充电车辆的车辆信息（101）；根据车辆信息确定待充电车辆的目标电池容量（102）；响应于充电结束操作，获取目标充电段内充电设备的充电参数和待充电车辆的SOC信息（103），目标充电段包括位于充电开始操作与充电结束操作之间的时间段；根据充电参数、SOC信息以及目标电池容量确定待充电车辆的电池健康状态（104）。电池健康状态测算方法提高了电池健康状态的确定效率。电池健康状态测算方法的相关设备。

Description

电池健康状态测算方法以及相关设备
本申请要求于2021年06月17日提交中国专利局、申请号为202110674720.6、申请名称为“电池健康状态测算方法以及相关设备”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
本发明实施例涉及新能源汽车技术领域，具体涉及一种电池健康状态测算方法以及相关设备。
背景技术
在新能源汽车中，电池为汽车提供动力来源，决定了新能源汽车的最大里程数，随着新能源汽车的使用，电池容量会发生衰减，电池的健康状态(State Of Health，SOH)会越来越低，因此，电池的健康状态对于新能源汽车的使用和养护来说至关重要。
而发明人在实施现有技术的过程中发现：现有技术中的电池健康状态一般是通过大数据样本进行估算或者在实验室中对电池进行充放电测试，模拟测算电池寿命，而大数据样本的成本较高，实验室模拟测算的准确率较低。因此，需要一种效率更高和准确率更高的电池健康状态测算方法。
发明内容
鉴于上述问题，本发明实施例提供了一种电池健康状态测算方法以及相关设备，用于解决现有技术中存在的新能源汽车的电池健康状态测算的效率较低的问题。
根据本发明实施例的一个方面，提供了一种电池健康状态测算方法，应用于一充电设备；所述方法包括：
响应于充电开始操作，获取待充电车辆的车辆信息；
根据所述车辆信息确定所述待充电车辆的目标电池容量；
响应于充电结束操作，获取目标充电段内所述充电设备的充电参数和所述待充电车辆的SOC信息，所述目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段；
根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述车辆信息包括VIN码；所述方法还包括：
根据所述VIN码确定所述待充电车辆的厂商信息、车型信息和生产时间；
根据所述厂商信息、车型信息和生产时间确定所述待充电车辆的初始电池容量；
确定所述生产时间与所述充电开始操作的时间之间的时间间隔；
根据所述时间间隔、车辆信息和初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述方法还包括：
根据所述车辆信息确定所述待充电车辆的电池衰减曲线，所述电池衰减曲线包括电池衰减信息与电池使用时间之间的对应关系；
根据所述时间间隔和电池容量衰减曲线确定目标衰减信息；
根据所述目标衰减信息和初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述充电参数包括充电电流以及充电时间；所述SOC信息包括所述待充电车辆在所述目标充电段的起始时间对应的第一SOC和所述目标充电段的结束时间对应的第二SOC；所述方法还包括：
根据所述充电电流以及所述充电时间进行计算，得到所述目标充电段对应的充电电量；
根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量；
根据所述充电电量、SOC变化量以及目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述方法还包括：
将所述目标电池容量与所述SOC变化量的乘积确定为电池接收电量；
根据所述充电电量与所述电池接收电量的比值确定所述电池健康状态。
在一种可选的方式中，所述方法还包括：
确定所述充电电流是否满足电流阈值；
若满足，根据SOC充电电流曲线确定所述第二SOC；其中，所述SOC充电电流曲线包括所述SOC与所述充电电流之间的对应关系；所述SOC充电电流曲线根据所述车辆信息确定。
在一种可选的方式中，所述方法还包括：
根据所述车辆信息确定所述待充电车辆的充电效率；
根据所述充电效率、充电电流以及充电时间进行计算，得到所述充电电量。
根据本发明实施例的另一方面，提供了一种电池健康状态测算设备，包括：
处理器、存储器、通信接口和通信总线，所述处理器、所述存储器和所述通信接口通过所述通信总线完成相互间的通信；
所述存储器用于存放至少一可执行指令，所述可执行指令使所述处理器执行如所述电池健康状态测算方法的操作。
根据本发明实施例的又一方面，提供了一种计算机可读存储介质，所述存储介质中存储有至少一可执行指令，所述可执行指令使电池健康测算设备执行所述电池健康状态测算方法的操作。
根据本发明实施例的又一方面，提供了一种充电桩，所述充电桩包括所述电池健康状态测算设备。
在一种可选的方式中，所述充电桩还包括VCI设备，所述VCI设备用于获取所述车辆信息和所述SOC信息。
本发明实施例应用于一充电设备，通过响应于充电开始操作，获取待充电车辆的车辆信息；根据所述车辆信息确定所述待充电车辆的目标电池容量；响应于充电结束操作，获取目标充电段内所述充电设备的充电参数和所述待充电 车辆的SOC信息；所述目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段；最后根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
本发明实施例通过充电设备直接实时获取目标充电段的充电参数和待充电车辆的SOC信息，根据SOC信息和充电参数以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
上述说明仅是本发明实施例技术方案的概述，为了能够更清楚了解本发明实施例的技术手段，而可依照说明书的内容予以实施，并且为了让本发明实施例的上述和其它目的、特征和优点能够更明显易懂，以下特举本发明的具体实施方式。
附图说明
附图仅用于示出实施方式，而并不认为是对本发明的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1示出了本发明实施例提供的电池健康状态测算方法的流程示意图；
图2示出了本发明实施例提供的电池健康状态测算***的模块示意图；
图3示出了本发明实施例提供的电池健康状态测算设备的结构示意图。
具体实施方式
下面将参照附图更详细地描述本发明的示例性实施例。虽然附图中显示了本发明的示例性实施例，然而应当理解，可以以各种形式实现本发明而不应被这里阐述的实施例所限制。
在进行本发明实施例的电池健康状态测算方法的说明之前，进行相关名词的解释：
VCI：Vehicle Communication Interface，车辆通信接口，用于与车载诊断***的通信接口连接，从而获取车载控制***中各个ECU(Electronic Control Unit，电子控制单元，也称行车电脑)模块的信息。
SOC：State Of Charge，SOC可以根据安时积分法、开路电压法等确定，一般以百分比的形式表示，用于表征当前的电池容量占充满时电池容量的比例。
SOH：即State Of Health，电池健康状态，表征电池的充放电能力。
VIN码：即Vehicle Identification Number，车辆识别号码的简称，是一组由十七个字母或数字组成，用于特异性标志车辆的号码，可以用于识别出汽车的生产商、引擎、底盘序号及其他性能等信息。
图1示出了本发明实施例提供的电池健康状态测算方法的流程图，该方法由计算机处理设备执行。该计算机处理设备可以包括充电桩、充电柜等。以下以充电设备为充电桩进行电池健康状态测算方法的说明：如图1所示，该方法包括以下步骤：
步骤101：响应于充电开始操作，获取待充电车辆的车辆信息。
在本发明的一个实施例中，充电开始操作可以是充电设备检测到的充电枪与待充电车辆的充电接口建立电连接的操作。其中，充电枪设置在充电桩上，用于输出交流或直流的电能。待充电车辆可以是电动汽车、电动车等包含蓄电池的设备。
在本发明的一个实施例中，车辆信息包括VIN码、车牌号、车辆型号、车辆产商、出厂时间以及关联账号等信息；其中，关联账号可以包括所述待充电车辆关联的手机号、社交平台账号以及充电平台账号等；所述充电平台用于管理所述充电设备。
在本发明的再一个实施例中，上述车辆信息可以是通过VCI设备访问待充电车辆的OBD接口获取，其中，VCI设备与充电设备以常用的无线或有线方式连接，其中无线方式包括WIFI、蓝牙等。在充电枪与待充电车辆连接的同时，VCI设备与充电枪所连接的待充电车辆的OBD接口建立通信连接。
在本发明的再一个实施例中，车辆信息还可以是充电设备通过访问预设的车辆信息平台获取，充电设备与车辆信息平台无线连接，车辆信息平台中存有多个VIN码或者车牌号对应的车辆信息。或者，车辆信息还可以是充电设备根据预存的车辆数据库进行查询获取，车辆数据库中包括与充电设备建立过连接的历史充电车辆的车辆信息。
步骤102：根据所述车辆信息确定所述待充电车辆的目标电池容量。
在本发明的一个实施例中，目标电池容量包括待充电车辆在出厂时的额定电池容量，可以表征待充电车辆在电池健康未受损时的理想电池容量。
在本发明的再一个实施例中，考虑到随着出厂时间的推移，电池容量可能会存在一定的自然损耗，在这种情况下，若仍将出厂时车辆厂商所标定的额定电池容量作为目标电池容量是不准确的，从而会减小电池健康状态的测算的准确率，因此，步骤102还可以包括：
步骤1021：根据所述VIN码确定所述待充电车辆的厂商信息、车型信息和生产时间。
在本发明的一个实施例中，可以是根据VIN码在充电设备预存的车辆数据库中进行查询，车辆数据库中包括多个VIN码和各个VIN码关联的厂商信息、车型信息和生产时间。
在本发明的再一个实施例中，还可以是在充电设备在获取到VIN码之后，将VIN码发送至车辆信息平台进行查询，根据车辆信息平台返回的信息确定待充电车辆的厂商信息、车型信息和生产时间。
步骤1022：根据所述厂商信息、车型信息和生产时间确定所述待充电车辆的初始电池容量。
在本发明的一个实施例中，可以根据厂商信息和车型信息进行查表确定初始电池容量。
在本发明的再一个实施例中，考虑到产品的升级换代或者技术参数的调整等情况，还可以在厂商信息、所述车型信息的基础上结合生产时间，确定待充电车辆的生产批次，从而根据生成批次进行查询，确定初始电池容量。
步骤1023：确定所述生产时间与所述充电开始操作的时间之间的时间间隔。
举例说明，充电开始操作的时间可以是检测到充电桩的充电插枪与待充电车辆的充电接口连接的时间，如2021.5.14 15:00:00，生产时间可以是2019.5.14，从而时间间隔为2年。
步骤1024：根据所述时间间隔、车辆信息和初始电池容量确定所述目标电池容量。
在本发明的一个实施例中，根据车辆信息确定待充电车辆的初始电池容量自出厂后随时间衰减的衰减特征信息，根据时间间隔确定容量衰减时长，从而根据衰减特征信息和容量衰减时长在初始电池容量的基础上确定目标电池容量。其中，衰减特征信息可以包括每单位时间衰减比例、每单位时间衰减量等。
因此，在本发明的再一个实施例中，步骤1024还至少包括：
步骤241：根据所述车辆信息确定所述待充电车辆的电池衰减曲线；所述电池衰减曲线包括电池衰减信息与电池使用时间之间的对应关系。
在本发明的一个实施例中，电池衰减曲线可以是根据待充电车辆同类型的车辆的大数据进行学习得到的。其中，同类型车辆包括与待充电车辆的相同厂商以及相同车型的车辆。
电池衰减信息可以包括电池容量衰减值、电池容量衰减比例等。电池使用时间可以是从车辆出厂开始进行计算，也可以根据车辆行驶的里程数进行换算得到。
步骤242：根据所述时间间隔和电池容量衰减曲线确定目标衰减信息。
在本发明的一个实施例中，将时间间隔作为目标电池使用时间，在电池衰减曲线上，将目标电池使用时间对应的电池衰减信息确定为目标衰减信息。
步骤243：根据所述目标衰减信息和初始电池容量确定所述目标电池容量。
举例说明，目标衰减信息可以是电池容量衰减比例为10％，初始电池容量可以为50Ah，则目标电池容量为50*(1-10％)＝45Ah。
步骤103：响应于充电结束操作，获取目标充电段内所述充电设备的充电参数和所述待充电车辆的SOC信息。
在本发明的一个实施例中，充电结束操作可以是充电设备检测到的充电枪与待充电车辆的充电接口断开电连接的操作。目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段。
举例说明，充电开始操作对应的时间可以是2021.5.14 15:00:00，充电结束操作对应的时间可以是2021.5.14 17:00:00，则目标充电段可以是2021.5.14 15:00:00-17:00:00这2个小时中的任一时间段。
在本发明的再一个实施例中，为了保证计算的准确性，可以对目标充电段的时长进行限制，如大于半小时，或者对目标充电段在整个充电过程中的区间位置进行限定，如为充电结束操作前的预设时长的时间段，或者根据充电参数确定出充电过程中恒流充电阶段和恒压充电阶段，将恒流充电阶段和恒压充电阶段中的任一端确定为目标充电段。
步骤104：根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在本发明的一个实施例中，根据SOC信息确定待充电车辆在目标充电段的电池状态变化信息，由此确定待充电车辆在目标充电段中实际存储的化学能。再根据充电参数确定充电桩在目标充电段中实际输出的电能。最后，将上述实际输出的电能与实际存储的化学能之间的比值确定为电池健康状态。
在本发明的再一个实施例中，所述充电参数包括充电电流以及充电时间；所述SOC信息包括所述待充电车辆在所述目标充电段的起始时间对应的第一SOC和所述目标充电段的结束时间对应的第二SOC；步骤104还至少包括：
步骤1041：根据所述充电电流以及所述充电时间进行计算，得到所述目标充电段对应的充电电量。
在本发明的一个实施例中，根据充电电流对充电时间进行积分，得到目标充电段内的充电电量。
考虑到电池存在一定的内阻，在充电过程中电池会发热，因此一部分充电 设备输出的电能会转换为热能散发，并且充电设备的输出包括交流与直流两种，而在将交流电稳压为直流电输入待充电车辆时，一般存在一定的能量损耗，因此，在本发明的再一个实施例中，步骤1041还至少包括：
步骤411：根据所述车辆信息确定所述待充电车辆的充电效率。
在本发明的一个实施例中，充电效率指的是充电过程中充电桩输出的电能转换为电池中存储的化学能之间的能量转换效率。
根据车辆信息确定充电效率可以是根据厂商信息和车型信息获取对应的充电效率参数。该充电效率参数一般由厂商在各个车型的车辆出厂之前进行测算得到并提供。充电效率一般在95％-80％。
在本发明的再一个实施例中，在厂商未提供充电效率的情况下，还可以是获取步骤241中所述的与待充电车辆同类型车辆的充电过程的大数据，根据充电过程的大数据进行计算得到充电效率。
步骤412：根据所述充电效率、所述充电电流以及所述充电时间进行计算，得到所述充电电量。
在本发明的一个实施例中，可以采用安时积分法计算充电电量，计算公式如下：
Figure PCTCN2022096655-appb-000001
其中，η为所述充电效率，I为所述充电电流，t0为目标充电段的开始时间，t1为目标充电段的结束时间，d τ表示I对时间的积分。
步骤1042：根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量。
在本发明的一个实施例中，SOC变化量＝第二SOC-第一SOC。
在本发明的再一个实施例中，SOC变化量的确定过程还可以包括：
步骤421：确定所述充电电流是否满足电流阈值。
在本发明的一个实施例中，电流阈值可以根据步骤241中所述待充电车辆的同类型车辆的大数据进行确定。电流阈值用于表征充电桩输出的充电电流与待充电车辆的SOC之间的变化满足一定的函数规律，如线性关系、指数关系等。
步骤422：若满足，根据SOC充电电流曲线确定所述第二SOC。
在本发明的一个实施例中，所述SOC充电电流曲线包括所述SOC与所述充电电流之间的对应关系；所述SOC充电电流曲线根据所述车辆信息确定。
在本发明的再一个实施例中，SOC充电电流曲线可以根据车辆信息获取如步骤241中所述的同类型车辆的大数据进行学习而确定。
步骤1043：根据所述充电电量、SOC变化量以及目标电池容量确定所述待充电车辆的电池健康状态。
在本发明的一个实施例中，根据充电电量确定充电桩输出的电量，根据SOC变化量结合目标电池容量确定待充电车辆的在理论上应该增加(即从充电桩接收到并存储)的电池容量，最后将输出电量与理论上应该增加的电量的比值确定为待充电车辆的电池健康状态。
因此，在本发明的再一个实施例中，步骤1043还至少包括：
步骤431：将所述目标电池容量与所述SOC变化量的乘积确定为电池接收电量。
举例说明，目标电池容量为45Ah，SOC变化量为80％，电池接收电量则为45Ah*80％＝36Ah。
步骤432：根据所述充电电量与所述电池接收电量的比值确定所述电池健康状态。
如，充电电量为32Ah，则电池健康状态为充电电量/电池接收电量，即32Ah/36Ah＝88.9％。
在本发明的再一个实施例中，在确定电池健康状态之后，还可以将电池健康状态通过预设的展示装置进行展示。
其中，展示装置可以是设置在充电桩上的显示屏，也可以是与待充电车辆关联的移动终端。移动终端可以包括手机、车载显示设备以及智能手表等。
在本发明的再一个实施例中，在步骤101中获取的车辆信息中还包括关联设备信息，通过该关联设备信息建立充电桩与上述移动终端之间的通信连接，从而将电池健康状态发送到关联的移动终端设备进行展示。
在本发明的再一个实施例中，充电桩还可以接收关联的移动终端的充电控制指令，根据充电控制指令对充电过程进行管理。如充电控制指令可以包括充电模式信息。充电模式信息可以包括快速充电模式、健康充电模式等。充电桩根据充电模式信息对充电参数进行调节。
在本发明的再一个实施例中，充电桩还可以根据电池健康状态确定目标充电电流、目标充电时长以及目标充电模式等，从而以效率最高并且最有益于电池健康的方式对待充电车辆进行充电。
本发明实施例提供的电池健康测算方法通过获取待充电车辆的SOC信息和目标充电段的充电参数，根据充电参数和SOC信息以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
图2示出了本发明实施例提供的电池健康状态测算***的模块示意图。如图2所示，所述电池健康状态测算***200为一个或者多个程序模块，一个或者多个程序模块被存储于存储器中，并由一个或多个处理器所执行，以完成本申请，本申请所称的模块是指能够完成特定功能的一系列计算机程序指令段。所述电池健康状态测算***200包括：第一获取模块201、第一确定模块202、第二获取模块203和第二确定模块204。
其中，第一获取模块201，用于响应于充电开始操作，获取待充电车辆的车辆信息；
第一确定模块202，用于根据所述车辆信息确定所述待充电车辆的目标电池容量；
第二获取模块203，用于响应于充电结束操作，获取目标充电段内所述充 电设备的充电参数和所述待充电车辆的SOC信息，所述目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段；
第二确定模块204，用于根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述车辆信息包括VIN码；所述第一确定模块202还用于根据所述VIN码确定所述待充电车辆的厂商信息、车型信息和生产时间；
根据所述厂商信息、车型信息和生产时间确定所述待充电车辆的初始电池容量；
确定所述生产时间与所述充电开始操作的时间之间的时间间隔；
根据所述时间间隔、车辆信息和初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述第一确定模块202还用于：
根据所述车辆信息确定所述待充电车辆的电池衰减曲线，所述电池衰减曲线包括电池衰减信息与电池使用时间之间的对应关系；
根据所述时间间隔和所述电池容量衰减曲线确定目标衰减信息；
根据所述目标衰减信息和所述初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述充电参数包括充电电流以及充电时间，所述SOC信息包括所述待充电车辆在所述目标充电段的起始时间对应的第一SOC和所述目标充电段的结束时间对应的第二SOC；所述第一确定模块204还用于：
根据所述充电电流以及所述充电时间进行计算，得到所述目标充电段对应的充电电量；
根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量；
根据所述充电电量、SOC变化量以及目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述第二确定模块204还用于：
将所述目标电池容量与所述SOC变化量的乘积确定为电池接收电量；
根据所述充电电量与所述电池接收电量的比值确定所述电池健康状态。
在一种可选的方式中，所述第二确定模块204还用于：
确定所述充电电流是否满足电流阈值；
若满足，根据SOC充电电流曲线确定所述第二SOC，其中，所述SOC充电电流曲线包括所述SOC与所述充电电流之间的对应关系，所述SOC充电电流曲线根据所述车辆信息确定。
在一种可选的方式中，所述第二确定模块204还用于：
根据所述车辆信息确定所述待充电车辆的充电效率；
根据所述充电效率、充电电流以及充电时间进行计算，得到所述充电电量。
本发明实施例提供的电池健康测算***通过获取待充电车辆的SOC信息和目标充电段的充电参数，根据充电参数和SOC信息以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
图3示出了本发明实施例提供的电池健康状态测算设备的结构示意图，本发明具体实施例并不对电池健康状态测算设备的具体实现做限定。
如图3所示，该电池健康状态测算设备可以包括：处理器(processor)302、通信接口(Communications Interface)304、存储器(memory)306、以及通信总线308。
其中：处理器302、通信接口304、以及存储器306通过通信总线308完成相互间的通信。通信接口304，用于与其它设备比如客户端或其它服务器等的网元通信。处理器302，用于执行电池健康状态测算***200，具体可以执行上述用于电池健康状态测算方法实施例中的相关步骤。
具体地，电池健康状态测算***200可以包括程序代码组成的一个或多个 程序模块(参考图2)，该程序代码包括计算机可执行指令。
处理器302可能是中央处理器CPU，或者是特定集成电路ASIC(Application Specific Integrated Circuit)，或者是被配置成实施本发明实施例的一个或多个集成电路。电池健康状态测算设备包括的一个或多个处理器，可以是同一类型的处理器，如一个或多个CPU；也可以是不同类型的处理器，如一个或多个CPU以及一个或多个ASIC。
存储器306，用于存放组成电池健康状态测算***200的健康状态测算程序。存储器306可能包含高速RAM存储器，也可能还包括非易失性存储器(non-volatile memory)，例如至少一个磁盘存储器。
组成所述电池健康状态测算***200的健康状态测算程序具体可以被处理器302调用使电池健康状态测算设备执行以下操作：
响应于充电开始操作，获取待充电车辆的车辆信息；
根据所述车辆信息确定所述待充电车辆的目标电池容量；
响应于充电结束操作，获取目标充电段内所述充电设备的充电参数和所述待充电车辆的SOC信息；所述目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段；
根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述车辆信息包括VIN码；组成所述电池健康状态测算***200的健康状态测算程序被处理器302调用使电池健康状态测算设备执行以下操作：
根据所述VIN码确定所述待充电车辆的厂商信息、车型信息和生产时间；
根据所述厂商信息、所述车型信息和所述生产时间确定所述待充电车辆的初始电池容量；
确定所述生产时间与所述充电开始操作的时间之间的时间间隔；
根据所述时间间隔、所述车辆信息和所述初始电池容量确定所述目标电池 容量。
在一种可选的方式中，组成所述电池健康状态测算***200的健康状态测算程序被处理器302调用使电池健康状态测算设备执行以下操作：
根据所述车辆信息确定所述待充电车辆的电池衰减曲线；所述电池衰减曲线包括电池衰减信息与电池使用时间之间的对应关系；
根据所述时间间隔和所述电池容量衰减曲线确定目标衰减信息；
根据所述目标衰减信息和所述初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述充电参数包括充电电流以及充电时间；所述SOC信息包括所述待充电车辆在所述目标充电段的起始时间对应的第一SOC和所述目标充电段的结束时间对应的第二SOC；组成所述电池健康状态测算***200的健康状态测算程序被处理器302调用使电池健康状态测算设备执行以下操作：
根据所述充电电流以及所述充电时间进行计算，得到所述目标充电段对应的充电电量；
根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量；
根据所述充电电量、所述SOC变化量以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，组成所述电池健康状态测算***200的健康状态测算程序被处理器302调用使电池健康状态测算设备执行以下操作：
将所述目标电池容量与所述SOC变化量的乘积确定为电池接收电量；
根据所述充电电量与所述电池接收电量的比值确定所述电池健康状态。
在一种可选的方式中，组成所述电池健康状态测算***200的代码程序被处理器302调用使电池健康状态测算设备执行以下操作：
确定所述充电电流是否满足电流阈值；
若满足，根据SOC充电电流曲线确定所述第二SOC；其中，所述SOC 充电电流曲线包括所述SOC与所述充电电流之间的对应关系；所述SOC充电电流曲线根据所述车辆信息确定。
在一种可选的方式中，组成所述电池健康状态测算***200的健康状态测算程序被处理器302调用使电池健康状态测算设备执行以下操作：
根据所述车辆信息确定所述待充电车辆的充电效率；
根据所述充电效率、所述充电电流以及所述充电时间进行计算，得到所述充电电量。
本发明实施例提供的电池健康测算设备通过获取待充电车辆的SOC信息和目标充电段的充电参数，根据充电参数和SOC信息以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
本发明实施例提供了一种计算机可读存储介质，所述存储介质存储有至少一可执行指令，该可执行指令在电池健康状态测算设备上运行时，使得所述电池健康状态测算设备执行上述任意方法实施例中的电池健康状态测算方法。
可执行指令具体可以用于使得电池健康状态测算设备执行以下操作：
响应于充电开始操作，获取待充电车辆的车辆信息；
根据所述车辆信息确定所述待充电车辆的目标电池容量；
响应于充电结束操作，获取目标充电段内所述充电设备的充电参数和所述待充电车辆的SOC信息；所述目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段；
根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述车辆信息包括VIN码；所述可执行指令使所述电池健康状态测算设备执行以下操作：
根据所述VIN码确定所述待充电车辆的厂商信息、车型信息和生产时间；
根据所述厂商信息、所述车型信息和所述生产时间确定所述待充电车辆的初始电池容量；
确定所述生产时间与所述充电开始操作的时间之间的时间间隔；
根据所述时间间隔、所述车辆信息和所述初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述可执行指令使所述电池健康状态测算设备执行以下操作：
根据所述车辆信息确定所述待充电车辆的电池衰减曲线；所述电池衰减曲线包括电池衰减信息与电池使用时间之间的对应关系；
根据所述时间间隔和所述电池容量衰减曲线确定目标衰减信息；
根据所述目标衰减信息和所述初始电池容量确定所述目标电池容量。
在一种可选的方式中，所述充电参数包括充电电流以及充电时间；所述SOC信息包括所述待充电车辆在所述目标充电段的起始时间对应的第一SOC和所述目标充电段的结束时间对应的第二SOC；所述可执行指令使所述电池健康状态测算设备执行以下操作：
根据所述充电电流以及所述充电时间进行计算，得到所述目标充电段对应的充电电量；
根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量；
根据所述充电电量、所述SOC变化量以及所述目标电池容量确定所述待充电车辆的电池健康状态。
在一种可选的方式中，所述可执行指令使所述电池健康状态测算设备执行以下操作：
将所述目标电池容量与所述SOC变化量的乘积确定为电池接收电量；
根据所述充电电量与所述电池接收电量的比值确定所述电池健康状态。
在一种可选的方式中，所述可执行指令使所述电池健康状态测算设备执行 以下操作：
确定所述充电电流是否满足电流阈值；
若满足，根据SOC充电电流曲线确定所述第二SOC；其中，所述SOC充电电流曲线包括所述SOC与所述充电电流之间的对应关系；所述SOC充电电流曲线根据所述车辆信息确定。
在一种可选的方式中，所述可执行指令使所述电池健康状态测算设备执行以下操作：
根据所述车辆信息确定所述待充电车辆的充电效率；
根据所述充电效率、所述充电电流以及所述充电时间进行计算，得到所述充电电量。
本发明实施例提供的计算机可读存储介质通过获取待充电车辆的SOC信息和目标充电段的充电参数，根据充电参数和SOC信息以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
本发明实施例提供了一种充电桩，所述充电桩包括所述电池健康测算设备。
本发明实施例提供的充电桩通过获取待充电车辆的SOC信息和目标充电段的充电参数，根据充电参数和SOC信息以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
在一种可选的方式中，所述充电桩还包括VCI设备，所述VCI设备用于获取所述车辆信息和所述SOC信息。
本发明实施例提供的充电桩通过VCI设备与待充电车辆建立通信，从而获取待充电车辆的SOC信息，再根据目标充电段的充电参数和SOC信息以及待充电车辆对应的目标电池容量确定出其电池健康状态，从而能够克服现有技 术中所采取的大数据模型或者实验室模拟所导致的电池健康状态的测算效率较低的技术缺陷，提高了电池健康状态测算的效率。
本发明实施例提供一种电池健康测算装置，用于执行上述电池健康测算方法。
本发明实施例提供了一种计算机程序，所述计算机程序可被处理器调用使电池健康测算设备执行上述任意方法实施例中的电池健康测算方法。
本发明实施例提供了一种计算机程序产品，计算机程序产品包括存储在计算机可读存储介质上的计算机程序，计算机程序包括程序指令，当程序指令在计算机上运行时，使得所述计算机执行上述任意方法实施例中的电池健康测算方法。
在此提供的算法或显示不与任何特定计算机、虚拟***或者其它设备固有相关。各种通用***也可以与基于在此的示教一起使用。根据上面的描述，构造这类***所要求的结构是显而易见的。此外，本发明实施例也不针对任何特定编程语言。应当明白，可以利用各种编程语言实现在此描述的本发明的内容，并且上面对特定语言所做的描述是为了披露本发明的最佳实施方式。
上述实施例中的步骤，除有特殊说明外，不应理解为对执行顺序的限定。以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (11)

  1. 一种电池健康状态测算方法，应用于充电设备中，其特征在于，所述方法包括：
    响应于充电开始操作，获取待充电车辆的车辆信息；
    根据所述车辆信息确定所述待充电车辆的目标电池容量；
    响应于充电结束操作，获取目标充电段内所述充电设备的充电参数和所述待充电车辆的SOC信息，所述目标充电段包括位于所述充电开始操作与所述充电结束操作之间的时间段；
    根据所述充电参数、所述SOC信息以及所述目标电池容量确定所述待充电车辆的电池健康状态。
  2. 根据权利要求1所述的方法，其特征在于，所述车辆信息包括VIN码，所述根据所述车辆信息确定所述待充电车辆的目标电池容量，包括：
    根据所述VIN码确定所述待充电车辆的厂商信息、车型信息和生产时间；
    根据所述厂商信息、车型信息和生产时间确定所述待充电车辆的初始电池容量；
    确定所述生产时间与所述充电开始操作的时间之间的时间间隔；
    根据所述时间间隔、车辆信息和初始电池容量确定所述目标电池容量。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述时间间隔、车辆信息和初始电池容量确定所述目标电池容量，包括：
    根据所述车辆信息确定所述待充电车辆的电池衰减曲线，所述电池衰减曲线包括电池衰减信息与电池使用时间之间的对应关系；
    根据所述时间间隔和电池容量衰减曲线确定目标衰减信息；
    根据所述目标衰减信息和初始电池容量确定所述目标电池容量。
  4. 根据权利要求1所述的方法，其特征在于，所述充电参数包括充电电流以及充电时间；所述SOC信息包括所述待充电车辆在所述目标充电段的起始 时间对应的第一SOC和所述目标充电段的结束时间对应的第二SOC；所述根据所述充电参数、SOC信息以及目标电池容量确定所述待充电车辆的电池健康状态，包括：
    根据所述充电电流以及充电时间进行计算，得到所述目标充电段对应的充电电量；
    根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量；
    根据所述充电电量、SOC变化量以及目标电池容量确定所述待充电车辆的电池健康状态。
  5. 根据权利要求4所述的方法，其特征在于，所述根据所述充电电量、所述SOC变化量以及所述目标电池容量确定所述待充电车辆的电池健康状态，包括：
    将所述目标电池容量与所述SOC变化量的乘积确定为电池接收电量；
    根据所述充电电量与所述电池接收电量的比值确定所述电池健康状态。
  6. 根据权利要求4所述的方法，其特征在于，在所述根据所述第一SOC和所述第二SOC确定所述待充电车辆在所述目标充电段的SOC变化量之前，包括：
    确定所述充电电流是否满足电流阈值；
    若满足，根据SOC充电电流曲线确定所述第二SOC；其中，所述SOC充电电流曲线包括所述SOC与所述充电电流之间的对应关系；所述SOC充电电流曲线根据所述车辆信息确定。
  7. 根据权利要求4所述的方法，其特征在于，在所述根据所述充电电流以及所述充电时间进行计算，得到所述目标充电段对应的充电电量之前，还包括：
    根据所述车辆信息确定所述待充电车辆的充电效率；
    根据所述充电效率、充电电流以及充电时间进行计算，得到所述充电电量。
  8. 一种电池健康状态测算设备，其特征在于，包括：处理器、存储器、通 信接口和通信总线，所述处理器、所述存储器和所述通信接口通过所述通信总线完成相互间的通信；
    所述存储器用于存放至少一可执行指令，所述可执行指令使所述处理器执行如权利要求1-7任意一项所述的电池健康状态测算方法的操作。
  9. 一种计算机可读存储介质，其特征在于，所述存储介质中存储有至少一可执行指令，所述可执行指令在电池健康状态测算设备上运行时，使得电池健康状态测算设备执行如权利要求1-7任意一项所述的电池健康状态测算方法的操作。
  10. 一种充电桩，其特征在于，所述充电桩包括权利要求8所述的电池健康状态测算设备。
  11. 根据权利要求10所述的充电桩，其特征在于，所述充电桩还包括VCI设备，所述VCI设备用于获取车辆信息和所述SOC信息。
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