WO2021089057A1 - 电池健康度的获取方法、系统、设备及可读存储介质 - Google Patents

电池健康度的获取方法、系统、设备及可读存储介质 Download PDF

Info

Publication number
WO2021089057A1
WO2021089057A1 PCT/CN2020/130900 CN2020130900W WO2021089057A1 WO 2021089057 A1 WO2021089057 A1 WO 2021089057A1 CN 2020130900 W CN2020130900 W CN 2020130900W WO 2021089057 A1 WO2021089057 A1 WO 2021089057A1
Authority
WO
WIPO (PCT)
Prior art keywords
soc
charging
data
battery
current
Prior art date
Application number
PCT/CN2020/130900
Other languages
English (en)
French (fr)
Inventor
牛子铜
Original Assignee
奥动新能源汽车科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 奥动新能源汽车科技有限公司 filed Critical 奥动新能源汽车科技有限公司
Publication of WO2021089057A1 publication Critical patent/WO2021089057A1/zh

Links

Images

Classifications

    • 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]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • 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]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • 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

  • This application belongs to the field of battery health detection, and in particular relates to a method, system, device, and readable storage medium for acquiring battery health.
  • SOH battery health
  • SOH State of Health
  • SOH is used It characterizes the battery capacity, health, and performance status. Simply put, it is the ratio of the performance parameters to the nominal parameters after the battery has been used for a period of time.
  • the SOH value is calculated by discharging the battery from a full state at a certain rate to the cut-off voltage. The ratio of the capacity to the corresponding nominal capacity is obtained.
  • the current research on SOH is basically based on the above method in the laboratory. This solution method regards the charging process of the battery as constant.
  • the technical problem to be solved by this application is to overcome the inaccurate SOH value of the battery obtained in the prior art and provide a method, system, device and readable storage medium for obtaining battery health.
  • a method for obtaining battery health includes:
  • the SOC table stores the SOC data of the batteries of different battery models in the charging process under different driving mileage;
  • the SOC data is the SOC data of a single battery in a single charging cycle
  • the step of constructing an SOC table specifically includes:
  • the unit SOC data corresponding to each unit charging cycle is respectively calculated based on the integral power algorithm
  • the SOC table is constructed based on all unit SOC data.
  • the current SOC data includes charging start SOC and charging end SOC
  • the step of correcting the current SOC data according to the target SOC data specifically includes:
  • the difference between the charging start SOC and the charging end SOC is corrected according to the target unit SOC data.
  • the obtaining method solves the current SOH by the following formula, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • An electronic device includes a memory, a processor, and a computer program that is stored on the memory and can run on the processor.
  • the processor implements the above-mentioned method for acquiring battery health when the computer program is executed.
  • a computer-readable storage medium has a computer program stored thereon, and when the program is executed by a processor, the steps of the method for acquiring battery health are realized.
  • a battery health acquisition system includes an SOC meter building module, a battery information acquisition module, a target SOC data acquisition module, a current charging data acquisition module, a correction module, and an SOH acquisition module;
  • the SOC table construction module is used to construct an SOC table, and the SOC table stores SOC data of batteries of different battery models in the charging process under different driving mileages;
  • the battery information acquisition module is used to acquire battery information of a target rechargeable battery, the battery information including the battery model and current mileage of the target rechargeable battery;
  • the target SOC data acquisition module is configured to acquire target SOC data corresponding to the target rechargeable battery according to the battery information and the SOC table;
  • the current charging data acquisition module is configured to acquire current charging data of the target rechargeable battery in a charging time period, where the current charging data includes the current charged power and current SOC data in the charging time period;
  • the correction module is used to correct the current SOC data according to the target SOC data
  • the SOH acquisition module is used to calculate the current SOH of the target rechargeable battery according to the corrected current charging data.
  • the SOC data is the SOC data of a single battery in a single charging cycle
  • the SOC table construction module includes a cycle division unit, a unit data acquisition unit, and a construction unit;
  • the period division unit is configured to divide the charging period into a plurality of unit charging periods on average;
  • the unit data acquisition unit is configured to calculate the unit SOC data corresponding to each unit charging cycle based on the integral power algorithm during the charging process;
  • the construction unit is used to construct the SOC table according to all unit SOC data.
  • the current SOC data includes charging start SOC and charging end SOC;
  • the correction module is used to extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data, and compare the target unit SOC data according to the target unit SOC data. The difference between the charging start SOC and the charging end SOC is corrected.
  • the obtaining system solves the current SOH by the following formula, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the positive progress effect of this application lies in: avoiding the misunderstanding that the battery charging process is uniform charging in the usual sense, constructing an SOC table based on the large amount of historical battery charging data possessed, and obtaining the accuracy of batteries of different battery models under different driving ranges. Based on the SOC value, the SOC value of any battery in the actual charging process is corrected based on the SOC table. Based on the corrected SOC value, a more accurate SOH of the battery is further obtained, and the attenuation of the battery is understood in a timely manner.
  • FIG. 1 is a flowchart of a method for acquiring battery health in Embodiment 1 of the application.
  • FIG. 2 is a flowchart of step 10 in the method for acquiring battery health in Embodiment 2 of the application.
  • FIG. 3 is a graph of the SOC curve of a certain battery model constructed in the method for acquiring battery health in Embodiment 2 of the application in the range of 0 to 50,000 kilometers.
  • FIG. 4 is a SOC curve diagram of a certain battery model constructed in the method for acquiring battery health in Embodiment 2 of the application under a driving range of 50,000 to 100,000 kilometers.
  • FIG. 5 is a flowchart of step 50 in the method for acquiring battery health in Embodiment 2 of the present application.
  • FIG. 6 is a schematic structural diagram of an electronic device according to Embodiment 3 of the application.
  • FIG. 7 is a schematic diagram of modules of a system for obtaining battery health according to Embodiment 5 of the present application.
  • FIG. 8 is a schematic diagram of modules of the SOC table building module in the battery health acquisition system according to Embodiment 6 of the application.
  • a method for obtaining battery health as shown in FIG. 1, the obtaining method includes:
  • Step 10 Construct an SOC table; the SOC table stores the SOC data of batteries of different battery types during the charging process under different driving distances;
  • Step 20 Obtain battery information of a target rechargeable battery; the battery information includes the battery model and current mileage of the target rechargeable battery;
  • Step 30 Obtain target SOC data corresponding to the target rechargeable battery according to the battery information and the SOC table;
  • Step 40 Obtain current charging data of the target rechargeable battery in a charging time period; the current charging data includes the current charged power and current SOC data in the charging time period;
  • the battery power can be used as the basis for data calculation, and the battery capacity can also be obtained as the basis for data calculation.
  • This application is not particularly limited, and the solution of this application is explained on the basis of battery power as the basis for data calculation.
  • Step 50 Correct the current SOC data according to the target SOC data
  • Step 60 Calculate the current SOH of the target rechargeable battery according to the corrected current charging data.
  • the method for acquiring battery health in this embodiment is further improved on the basis of Embodiment 1.
  • the SOC data is the SOC data of a single battery in a single charging cycle. As shown in FIG. 2, step 10 specifically includes:
  • Step 101 Divide the charging cycle into multiple unit charging cycles on average; specifically, the entire charging process can be divided into 250 small cycles, and each unit charging cycle occupies 0.4%.
  • Step 102 During the charging process, the unit SOC data corresponding to each unit charging cycle is respectively calculated based on the integral power algorithm;
  • the existing battery can automatically report the current SOC value during the charging process.
  • the integral power algorithm can be used to calculate the SOC value, if it is based on the battery power as If the data calculation is based, the specific calculation method can be solved by the following formula: current load voltage * current load current * time, if the battery capacity is used as the basis for data calculation, the specific calculation method can be solved by the following formula: current load current * time , Or based on other better integration algorithms, which is not specifically limited in this application.
  • Step 103 Construct an SOC table based on all unit SOC data.
  • step 50 specifically includes:
  • Step 501 Extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data;
  • Step 502 Correct the difference between the charging start SOC and the charging end SOC according to the target unit SOC data.
  • the obtaining method uses the following formula to solve the current SOH, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the construction process of the SOC table and the actual charging process of any battery are further given, how to specifically correct the SOC value of any battery based on the SOC table.
  • An electronic device includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor.
  • the processor executes the computer program to implement the battery health acquisition method described in Embodiment 1 or 2.
  • FIG. 6 is a schematic structural diagram of an electronic device provided by this embodiment.
  • FIG. 6 shows a block diagram of an exemplary electronic device 90 suitable for implementing the embodiments of the present application.
  • the electronic device 90 shown in FIG. 6 is only an example, and should not bring any limitation to the function and scope of use of the embodiments of the present application.
  • the electronic device 90 may be in the form of a general-purpose computing device, for example, it may be a server device.
  • the components of the electronic device 90 may include but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including the memory 92 and the processor 91).
  • the bus 93 includes a data bus, an address bus, and a control bus.
  • the memory 92 may include a volatile memory, such as a random access memory (RAM) 921 and/or a cache memory 922, and may further include a read-only memory (ROM) 923.
  • RAM random access memory
  • ROM read-only memory
  • the memory 92 may also include a program tool 925 having a set (at least one) program module 924.
  • program module 924 includes but is not limited to: an operating system, one or more application programs, other program modules, and program data. In these examples Each or some combination of may include the realization of the network environment.
  • the processor 91 executes various functional applications and data processing by running a computer program stored in the memory 92.
  • the electronic device 90 may also communicate with one or more external devices 94 (for example, keyboards, pointing devices, etc.). This communication can be performed through an input/output (I/O) interface 95.
  • the electronic device 90 can also communicate with one or more networks (for example, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 96.
  • the network adapter 96 communicates with other modules of the electronic device 90 through the bus 93.
  • a computer-readable storage medium has a computer program stored thereon, and when the program is executed by a processor, the steps of the method for acquiring battery health described in Embodiment 1 or 2 are implemented.
  • the readable storage medium may more specifically include but not limited to: portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device or any of the above The right combination.
  • this application can also be implemented in the form of a program product, which includes program code.
  • the program product runs on a terminal device, the program code is used to make the terminal device execute the implementation described in Embodiment 1 or 2. The steps of the method for obtaining battery health are described.
  • the program code used to execute this application can be written in any combination of one or more programming languages.
  • the program code can be executed completely on the user equipment, partly on the user equipment, as an independent software
  • the package is executed, partly on the user's device, partly on the remote device, or entirely on the remote device.
  • a battery health acquisition system as shown in Figure 7, the acquisition system includes SOC meter building module 1, battery information acquisition module 2, target SOC data acquisition module 3, current charging data acquisition module 4, correction module 5 and SOH acquisition Module 6;
  • the SOC table construction module 1 is used to construct an SOC table, which stores the SOC data of batteries of different battery types during the charging process under different driving mileages;
  • the battery information acquisition module 2 is used to acquire battery information of a target rechargeable battery, and the battery information includes the battery model and current mileage of the target rechargeable battery;
  • the target SOC data acquisition module 3 is used to acquire target SOC data corresponding to the target rechargeable battery according to the battery information and the SOC table;
  • the current charging data acquisition module 4 is used to acquire the current charging data of the target rechargeable battery in a charging time period, the current charging data includes the current charged power and current SOC data in the charging time period;
  • the battery power can be used as the basis for data calculation, and the battery capacity can also be obtained as the basis for data calculation.
  • This application is not particularly limited, and the solution of this application is explained on the basis of battery power as the basis for data calculation.
  • the correction module 5 is used to correct the current SOC data according to the target SOC data
  • the SOH acquisition module 6 is used to calculate the current SOH of the target rechargeable battery according to the corrected current charging data.
  • the battery health acquisition system of this embodiment is further improved on the basis of Embodiment 5.
  • the SOC data is the SOC data of a single battery in a single charging cycle.
  • the SOC table building module 1 includes a period division unit 11.
  • the period dividing unit 11 is used to divide the charging period into multiple unit charging periods on average; specifically, the entire charging process can be divided into 250 small periods, and each unit charging period occupies 0.4%.
  • the unit data acquisition unit 12 is configured to calculate the unit SOC data corresponding to each unit charging cycle based on the integral power algorithm during the charging process;
  • the existing battery can automatically report the current SOC value during the charging process.
  • the integral power algorithm can be used to calculate the SOC value, if it is based on the battery power as If the data calculation is based, the specific calculation method can be solved by the following formula: current load voltage * current load current * time, if the battery capacity is used as the basis for data calculation, the specific calculation method can be solved by the following formula: current load current * time , Or based on other better integration algorithms, which is not specifically limited in this application.
  • the construction unit 13 is used to construct an SOC table based on all unit SOC data.
  • the current SOC data includes charging start SOC and charging end SOC
  • the correction module 5 is used to extract the target unit SOC data between the unit SOC data corresponding to the charging start SOC and the unit SOC data corresponding to the charging end SOC from the target SOC data, and to start charging according to the target unit SOC data The difference between the SOC and the end-of-charge SOC is corrected.
  • the acquisition system uses the following formula to solve the current SOH, which specifically includes:
  • SOH d current the SOH, Q charge and the charged electric current, SOC E to the end of charging SOC, SOC S charging start SOC, (SOC E -SOC S) X is a current SOC corrected data, Q is an amount The rated power is known, n is the number of unit charging cycles included in the charging time period, and SOC n-1 is the SOC corresponding to the nth unit charging cycle of the target rechargeable battery obtained from the SOC table query from the beginning of the charging to the end of the charging .
  • the construction process of the SOC table and the actual charging process of any battery are further given, how to specifically correct the SOC value of any battery based on the SOC table.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

一种电池健康度的获取方法、系统、设备及可读存储介质，所述获取方法包括：构建一SOC表（10）；获取一目标充电电池的电池信息（20）；根据电池信息和SOC表获取与目标充电电池对应的目标SOC数据（30）；获取目标充电电池在一充电时间段内的当前充电数据（40），当前充电数据包括充电时间段内的当前充入电量和当前SOC数据；根据目标SOC数据对当前SOC数据进行修正（50）；根据修正后的当前充电数据计算目标充电电池的当前SOH（60）。本方法获取不同电池型号的电池在不同行驶里程段下的精确SOC值构建SOC表，进而对任一电池的实际充电过程中的SOC值进行修正，得到更加精准的电池的SOH，以及时了解电池的衰减情况。

Description

电池健康度的获取方法、系统、设备及可读存储介质
本申请要求申请日为2019/11/5的中国专利申请2019110684274的优先权。本申请引用上述中国专利申请的全文。
技术领域
本申请属于电池健康度检测领域，特别涉及一种电池健康度的获取方法、系统、设备及可读存储介质。
背景技术
当前，动力电池组是电动汽车的电力来源，对电池的监控和管理对电动汽车的稳定高效的运行尤为重要，而电池的一个重要指标就是电池健康度(SOH，State of Health)，SOH用来表征蓄电池容量、健康度、性能状态，简单的说就是电池使用一段时间后性能参数与标称参数的比值，SOH值的计算是通过电池从充满状态下以一定的倍率放电到截止电压所放出的容量与其所对应的标称容量的比值求得，目前对SOH的研究，基本都是基于实验室通过上述方式求解得到。这种求解方式是将电池的充电过程视为恒定不变的，然而，通过分析发现，任何电池的充电过程并非恒定不变的，这就导致现有的求解SOH值的结果不准确。如何得到精确的SOH值，以及时了解电池的当前健康状态，并对电池未来衰减进行预测，对于电动汽车的使用有着重要的意义。
发明内容
本申请要解决的技术问题是为了克服现有技术中获取的电池的SOH值不准确的缺陷，提供一种电池健康度的获取方法、系统、设备及可读存储介质。
本申请是通过下述技术方案来解决上述技术问题：
一种电池健康度的获取方法，所述获取方法包括：
构建一SOC(荷电状态，用来反映电池的剩余容量)表，所述SOC表存储有不同电 池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
根据所述目标SOC数据对所述当前SOC数据进行修正；
根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
较佳地，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述构建一SOC表的步骤具体包括：
将所述充电周期平均划分为多个单位充电周期；
在所述充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
根据所有单位SOC数据构建所述SOC表。
较佳地，所述当前SOC数据包括充电开始SOC和充电结束SOC，所述根据所述目标SOC数据对所述当前SOC数据进行修正的步骤具体包括：
从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
较佳地，所述获取方法通过以下公式求解所述当前SOH，具体包括：
Figure PCTCN2020130900-appb-000001
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+...+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充 电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现上述的电池健康度的获取方法。
一种计算机可读存储介质，其上存储有计算机程序，所述程序被处理器执行时实现上述的电池健康度的获取方法的步骤。
一种电池健康度的获取系统，所述获取系统包括SOC表构建模块、电池信息获取模块、目标SOC数据获取模块、当前充电数据获取模块、修正模块和SOH获取模块；
所述SOC表构建模块用于构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
所述电池信息获取模块用于获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
所述目标SOC数据获取模块用于根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
所述当前充电数据获取模块用于获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
所述修正模块用于根据所述目标SOC数据对所述当前SOC数据进行修正；
所述SOH获取模块用于根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
较佳地，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述SOC表构建模块包括周期划分单元、单位数据获取单元和构建单元；
所述周期划分单元用于将所述充电周期平均划分为多个单位充电周期；
所述单位数据获取单元用于在所述充电过程中基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
所述构建单元用于根据所有单位SOC数据构建所述SOC表。
较佳地，所述当前SOC数据包括充电开始SOC和充电结束SOC；
所述修正模块用于从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，并根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
较佳地，所述获取系统通过以下公式求解所述当前SOH，具体包括：
Figure PCTCN2020130900-appb-000002
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+...+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本申请的积极进步效果在于：避免通常意义中对电池充电过程为均匀充电的误解，基于拥有的大量的历史电池充电数据，构建SOC表，获取不同电池型号的电池在不同行驶里程段下的精确SOC值，进而基于该SOC表对任一电池的实际充电过程中的SOC值进行修正，基于该修正后的SOC值，进一步得到更加精准的电池的SOH，以及时了解电池的衰减情况。
附图说明
图1为本申请实施例1的电池健康度的获取方法的流程图。
图2为本申请实施例2的电池健康度的获取方法中步骤10的流程图。
图3为本申请实施例2的电池健康度的获取方法中构建的某一电池型号在0～5万公里行驶里程段下的SOC曲线图。
图4为本申请实施例2的电池健康度的获取方法中构建的某一电池型号在5～10万公里行驶里程段下的SOC曲线图。
图5为本申请实施例2的电池健康度的获取方法中步骤50的流程图。
图6为本申请实施例3的电子设备的结构示意图。
图7为本申请实施例5的电池健康度的获取系统的模块示意图。
图8为本申请实施例6的电池健康度的获取系统中SOC表构建模块的模块示意图。
具体实施方式
下面通过实施例的方式进一步说明本申请，但并不因此将本申请限制在所述的实施例范围之中。
实施例1
一种电池健康度的获取方法，如图1所示，所述获取方法包括：
步骤10、构建一SOC表；SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
步骤20、获取一目标充电电池的电池信息；电池信息包括目标充电电池的电池型号和当前行驶里程；
步骤30、根据电池信息和SOC表获取与目标充电电池对应的目标SOC数据；
步骤40、获取目标充电电池在一充电时间段内的当前充电数据；当前充电数据包括充电时间段内的当前充入电量和当前SOC数据；
需要说明的是，可以使用电池电量作为数据计算的基础，也可以获取电池容量作为数据计算的基础，本申请不作特别限定，本申请的方案以电池电量作为数据计算的基础进行阐述。
步骤50、根据目标SOC数据对当前SOC数据进行修正；
步骤60、根据修正后的当前充电数据计算目标充电电池的当前SOH。
本实施例中，避免通常意义中对电池充电过程为均匀充电的误解，基于拥有的大量的历史电池充电数据，构建SOC表，获取不同电池型号的电池在不同行驶里程段下的精确SOC值，进而基于该SOC表对任一电池的实际充电过程中的SOC值进行修正，基于该修正后的SOC值，进一步得到更加精准的电池的SOH，以及时了解电池的衰减情况。
实施例2
本实施例的电池健康度的获取方法是在实施例1的基础上进一步改进，SOC数据为单个电池在单个充电周期下的SOC数据，如图2所示，步骤10具体包括：
步骤101、将充电周期平均划分为多个单位充电周期；具体的，可以将整个充电过程划分为250个小的周期，每个单位充电周期占据0.4个百分点。
步骤102、在充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
需要说明的是，现有的电池在充电过程中是能够自动上报当前的SOC值的，本申请中，为了确保数据的精准度，可采用积分电量算法对SOC值进行计算，若是基于电池电量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电压*当前负载电流*时间，若是基于电池容量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电流*时间，或者基于其他更优的积分算法进行求解，本申请不作特别限定。
步骤103、根据所有单位SOC数据构建SOC表。
需要说明的是，在构建SOC表时，为了更加直观的了解不同电池型号的电池在不同行驶里程段下的SOC值，可以用表的形式进行展现，具体参见图3、4所示，分别列举了某一电池型号的电池在0～5万公里和5～10万公里行驶里程段下的SOC曲线图。
另外，当前SOC数据包括充电开始SOC和充电结束SOC，进一步的，如图5所示，步骤50具体包括：
步骤501、从目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
步骤502、根据目标单位SOC数据对充电开始SOC和充电结束SOC的差值进行修正。
本实施例中，获取方法通过以下公式求解当前SOH，具体包括：
Figure PCTCN2020130900-appb-000003
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+...+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本实施例中，更进一步的给出了SOC表的构建过程以及任一电池的实际充电过程中，如何具体的基于该SOC表对该任一电池的SOC值进行修正。
实施例3
一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，处理器执行计算机程序时实现实施例1或2所述的电池健康度的获取方法。
图6为本实施例提供的一种电子设备的结构示意图。图6示出了适于用来实现本申请实施方式的示例性电子设备90的框图。图6显示的电子设备90仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图6所示，电子设备90可以以通用计算设备的形式表现，例如其可以为服务器设备。电子设备90的组件可以包括但不限于：至少一个处理器91、至少一个存储器92、连接不同系统组件(包括存储器92和处理器91)的总线93。
总线93包括数据总线、地址总线和控制总线。
存储器92可以包括易失性存储器，例如随机存取存储器(RAM)921和/或高速缓存存储器922，还可以进一步包括只读存储器(ROM)923。
存储器92还可以包括具有一组(至少一个)程序模块924的程序工具925，这样的程序模块924包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
处理器91通过运行存储在存储器92中的计算机程序，从而执行各种功能应用以及数据处理。
电子设备90也可以与一个或多个外部设备94(例如键盘、指向设备等)通信。这种通信可以通过输入/输出(I/O)接口95进行。并且，电子设备90还可以通过网络适配器 96与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。网络适配器96通过总线93与电子设备90的其它模块通信。应当明白，尽管图中未示出，可以结合电子设备90使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理器、外部磁盘驱动阵列、RAID(磁盘阵列)系统、磁带驱动器以及数据备份存储系统等。
应当注意，尽管在上文详细描述中提及了电子设备的若干单元/模块或子单元/模块，但是这种划分仅仅是示例性的并非强制性的。实际上，根据本申请的实施方式，上文描述的两个或更多单元/模块的特征和功能可以在一个单元/模块中具体化。反之，上文描述的一个单元/模块的特征和功能可以进一步划分为由多个单元/模块来具体化。
实施例4
一种计算机可读存储介质，其上存储有计算机程序，程序被处理器执行时实现实施例1或2所述的电池健康度的获取方法的步骤。
其中，可读存储介质可以采用的更具体可以包括但不限于：便携式盘、硬盘、随机存取存储器、只读存储器、可擦拭可编程只读存储器、光存储器件、磁存储器件或上述的任意合适的组合。
在可能的实施方式中，本申请还可以实现为一种程序产品的形式，其包括程序代码，当程序产品在终端设备上运行时，程序代码用于使终端设备执行实现实施例1或2所述的电池健康度的获取方法的步骤。
其中，可以以一种或多种程序设计语言的任意组合来编写用于执行本申请的程序代码，程序代码可以完全地在用户设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户设备上部分在远程设备上执行或完全在远程设备上执行。
实施例5
一种电池健康度的获取系统，如图7所示，获取系统包括SOC表构建模块1、电池信息获取模块2、目标SOC数据获取模块3、当前充电数据获取模块4、修正模块5和SOH获取模块6；
SOC表构建模块1用于构建一SOC表，SOC表存储有不同电池型号的电池在不同 行驶里程段下的充电过程中的SOC数据；
电池信息获取模块2用于获取一目标充电电池的电池信息，电池信息包括目标充电电池的电池型号和当前行驶里程；
目标SOC数据获取模块3用于根据电池信息和SOC表获取与目标充电电池对应的目标SOC数据；
当前充电数据获取模块4用于获取目标充电电池在一充电时间段内的当前充电数据，当前充电数据包括充电时间段内的当前充入电量和当前SOC数据；
需要说明的是，可以使用电池电量作为数据计算的基础，也可以获取电池容量作为数据计算的基础，本申请不作特别限定，本申请的方案以电池电量作为数据计算的基础进行阐述。
修正模块5用于根据目标SOC数据对当前SOC数据进行修正；
SOH获取模块6用于根据修正后的当前充电数据计算目标充电电池的当前SOH。
本实施例中，避免通常意义中对电池充电过程为均匀充电的误解，基于拥有的大量的历史电池充电数据，构建SOC表，获取不同电池型号的电池在不同行驶里程段下的精确SOC值，进而基于该SOC表对任一电池的实际充电过程中的SOC值进行修正，基于该修正后的SOC值，进一步得到更加精准的电池的SOH，以及时了解电池的衰减情况。
实施例6
本实施例的电池健康度的获取系统是在实施例5的基础上进一步改进，SOC数据为单个电池在单个充电周期下的SOC数据，如图8所示，SOC表构建模块1包括周期划分单元11、单位数据获取单元12和构建单元13；
周期划分单元11用于将充电周期平均划分为多个单位充电周期；具体的，可以将整个充电过程划分为250个小的周期，每个单位充电周期占据0.4个百分点。
单位数据获取单元12用于在充电过程中基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
需要说明的是，现有的电池在充电过程中是能够自动上报当前的SOC值的，本申请中，为了确保数据的精准度，可采用积分电量算法对SOC值进行计算，若是基于电池电 量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电压*当前负载电流*时间，若是基于电池容量作为数据计算基础的话，具体计算方法可以通过以下公式进行求解：当前负载电流*时间，或者基于其他更优的积分算法进行求解，本申请不作特别限定。
构建单元13用于根据所有单位SOC数据构建SOC表。
需要说明的是，在构建SOC表时，为了更加直观的了解不同电池型号的电池在不同行驶里程段下的SOC值，可以用表的形式进行展现。
另外，当前SOC数据包括充电开始SOC和充电结束SOC；
进一步的，修正模块5用于从目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，并根据目标单位SOC数据对充电开始SOC和充电结束SOC的差值进行修正。
本实施例中，获取系统通过以下公式求解当前SOH，具体包括：
Figure PCTCN2020130900-appb-000004
(SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+...+(SOC 1-SOC S)
其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
本实施例中，更进一步的给出了SOC表的构建过程以及任一电池的实际充电过程中，如何具体的基于该SOC表对该任一电池的SOC值进行修正。
虽然以上描述了本申请的具体实施方式，但是本领域的技术人员应当理解，这些仅是举例说明，在不背离本申请的原理和实质的前提下，可以对这些实施方式做出多种变更或修改。因此，本申请的保护范围由所附权利要求书限定。

Claims (10)

  1. 一种电池健康度的获取方法，其特征在于，所述获取方法包括：
    构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
    获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
    根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
    获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
    根据所述目标SOC数据对所述当前SOC数据进行修正；
    根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
  2. 如权利要求1所述的电池健康度的获取方法，其特征在于，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述构建一SOC表的步骤具体包括：
    将所述充电周期平均划分为多个单位充电周期；
    在所述充电过程中，基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
    根据所有单位SOC数据构建所述SOC表。
  3. 如权利要求2所述的电池健康度的获取方法，其特征在于，所述当前SOC数据包括充电开始SOC和充电结束SOC，所述根据所述目标SOC数据对所述当前SOC数据进行修正的步骤具体包括：
    从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据；
    根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
  4. 如权利要求1-3中至少一项所述的电池健康度的获取方法，其特征在于，所述获 取方法通过以下公式求解所述当前SOH，具体包括：
    Figure PCTCN2020130900-appb-100001
    (SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
    其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
  5. 一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1至4中至少一项所述的电池健康度的获取方法。
  6. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述程序被处理器执行时实现权利要求1至4中至少一项所述的电池健康度的获取方法的步骤。
  7. 一种电池健康度的获取系统，其特征在于，所述获取系统包括SOC表构建模块、电池信息获取模块、目标SOC数据获取模块、当前充电数据获取模块、修正模块和SOH获取模块；
    所述SOC表构建模块用于构建一SOC表，所述SOC表存储有不同电池型号的电池在不同行驶里程段下的充电过程中的SOC数据；
    所述电池信息获取模块用于获取一目标充电电池的电池信息，所述电池信息包括所述目标充电电池的电池型号和当前行驶里程；
    所述目标SOC数据获取模块用于根据所述电池信息和所述SOC表获取与所述目标充电电池对应的目标SOC数据；
    所述当前充电数据获取模块用于获取所述目标充电电池在一充电时间段内的当前充电数据，所述当前充电数据包括所述充电时间段内的当前充入电量和当前SOC数据；
    所述修正模块用于根据所述目标SOC数据对所述当前SOC数据进行修正；
    所述SOH获取模块用于根据修正后的当前充电数据计算所述目标充电电池的当前SOH。
  8. 如权利要求7所述的电池健康度的获取系统，其特征在于，所述SOC数据为单个电池在单个充电周期下的SOC数据，所述SOC表构建模块包括周期划分单元、单位数据获取单元和构建单元；
    所述周期划分单元用于将所述充电周期平均划分为多个单位充电周期；
    所述单位数据获取单元用于在所述充电过程中基于积分电量算法分别计算得到与每个单位充电周期对应的单位SOC数据；
    所述构建单元用于根据所有单位SOC数据构建所述SOC表。
  9. 如权利要求8所述的电池健康度的获取系统，其特征在于，所述当前SOC数据包括充电开始SOC和充电结束SOC；
    所述修正模块用于从所述目标SOC数据中提取与充电开始SOC对应的单位SOC数据和与充电结束SOC对应的单位SOC数据之间的目标单位SOC数据，并根据所述目标单位SOC数据对所述充电开始SOC和所述充电结束SOC的差值进行修正。
  10. 如权利要求7-9中至少一项所述的电池健康度的获取系统，其特征在于，所述获取系统通过以下公式求解所述当前SOH，具体包括：
    Figure PCTCN2020130900-appb-100002
    (SOC E-SOC S) X＝(SOC E-SOC n-1)+(SOC n-1-SOC n-2)+…+(SOC 1-SOC S)
    其中，SOH d为当前SOH，Q 充为当前充入电量，SOC E为充电结束SOC，SOC S为充电开始SOC，(SOC E-SOC S) X为修正后的当前SOC数据，Q 额为一已知额定电量，n为充电时间段内包含的单位充电周期的个数，SOC n-1为根据SOC表查询得到的目标充电电池在充电开始到充电结束的第n个单位充电周期对应的SOC。
PCT/CN2020/130900 2019-11-05 2020-11-23 电池健康度的获取方法、系统、设备及可读存储介质 WO2021089057A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201911068427.4A CN112782601A (zh) 2019-11-05 2019-11-05 电池健康度的获取方法、系统、设备及可读存储介质
CN201911068427.4 2019-11-05

Publications (1)

Publication Number Publication Date
WO2021089057A1 true WO2021089057A1 (zh) 2021-05-14

Family

ID=75748805

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/130900 WO2021089057A1 (zh) 2019-11-05 2020-11-23 电池健康度的获取方法、系统、设备及可读存储介质

Country Status (2)

Country Link
CN (1) CN112782601A (zh)
WO (1) WO2021089057A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113665436B (zh) * 2021-09-28 2022-11-29 蜂巢能源科技有限公司 一种电池管理方法及装置

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101091664B1 (ko) * 2010-11-30 2011-12-08 기아자동차주식회사 전기자동차 잔존 주행거리 추정방법
CN105548912A (zh) * 2016-03-03 2016-05-04 合肥国轩高科动力能源有限公司 一种基于电池老化特性的电池荷电状态校准方法
CN105954686A (zh) * 2016-06-27 2016-09-21 金龙联合汽车工业（苏州）有限公司 一种固定线路电动汽车动力电池剩余电量的估算方法
CN106597289A (zh) * 2015-10-20 2017-04-26 郑州宇通客车股份有限公司 电池健康状态测算方法
CN109507611A (zh) * 2018-11-22 2019-03-22 安徽江淮汽车集团股份有限公司 一种电动汽车的soh修正方法及系统
CN109617187A (zh) * 2018-12-29 2019-04-12 东莞钜威动力技术有限公司 电池离线预估均衡方法、电池管理系统及可读存储介质
CN110018427A (zh) * 2019-05-24 2019-07-16 福建工程学院 一种基于行车数据的电动汽车电池健康状态评估方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102866361B (zh) * 2012-08-31 2016-04-06 惠州市亿能电子有限公司 一种电池组soh在线估算方法
CN106340689A (zh) * 2016-11-21 2017-01-18 上海航天电源技术有限责任公司 一种电池组系统容量自学习的方法
CN107271906B (zh) * 2017-05-31 2019-10-18 宁德时代新能源科技股份有限公司 电池包健康度估算方法和装置
CN108828461B (zh) * 2018-09-25 2020-11-17 安徽江淮汽车集团股份有限公司 动力电池soh值估算方法及系统

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101091664B1 (ko) * 2010-11-30 2011-12-08 기아자동차주식회사 전기자동차 잔존 주행거리 추정방법
CN106597289A (zh) * 2015-10-20 2017-04-26 郑州宇通客车股份有限公司 电池健康状态测算方法
CN105548912A (zh) * 2016-03-03 2016-05-04 合肥国轩高科动力能源有限公司 一种基于电池老化特性的电池荷电状态校准方法
CN105954686A (zh) * 2016-06-27 2016-09-21 金龙联合汽车工业（苏州）有限公司 一种固定线路电动汽车动力电池剩余电量的估算方法
CN109507611A (zh) * 2018-11-22 2019-03-22 安徽江淮汽车集团股份有限公司 一种电动汽车的soh修正方法及系统
CN109617187A (zh) * 2018-12-29 2019-04-12 东莞钜威动力技术有限公司 电池离线预估均衡方法、电池管理系统及可读存储介质
CN110018427A (zh) * 2019-05-24 2019-07-16 福建工程学院 一种基于行车数据的电动汽车电池健康状态评估方法

Also Published As

Publication number Publication date
CN112782601A (zh) 2021-05-11

Similar Documents

Publication Publication Date Title
CN109716150B (zh) 具有远程参数估计的二次电池管理系统
CN106501736B (zh) 电池内阻估算方法及装置
WO2022161002A1 (zh) 电池健康状态预测方法、装置、电子设备和可读存储介质
WO2022253038A1 (zh) 基于弹性网的锂电池健康状态预测方法、系统、设备及介质
WO2021089062A1 (zh) 快换式电动汽车的电池包的全生命周期管理方法、系统、电池健康度的获取方法、系统、设备及可读存储介质
JP6411538B2 (ja) 予測システム、予測プログラム、予測装置
CN114371409B (zh) 电池状态预测模型的训练方法、电池状态预测方法及装置
WO2021244085A1 (zh) Soc值显示方法、显示装置及储能系统
CN108061863A (zh) 检测电池的方法及装置、计算机可读存储介质、电池管理系统
US10957946B2 (en) Capacity degradation analysis for batteries
WO2023184824A1 (zh) 电池簇荷电状态的估计方法及系统、电子设备及存储介质
WO2020053702A1 (en) Active battery management method
WO2021089057A1 (zh) 电池健康度的获取方法、系统、设备及可读存储介质
JP2020125968A (ja) 電池劣化診断装置、電池劣化解析回路及び電池劣化診断プログラム
CN115993534A (zh) 一种电池系统的soc估算方法和装置及设备
Chen et al. A multi-time-scale framework for state of energy and maximum available energy of lithium-ion battery under a wide operating temperature range
US11846677B2 (en) Method and apparatus for monitoring battery backup unit, server, and readable storage medium
CN115389938A (zh) 电池剩余容量的预测方法、系统、电子设备和介质
CN113507154A (zh) 充电方法、装置、充电机和电子设备
CN112345954A (zh) 电池寿命预测方法、装置、电子设备及介质
CN113805084B (zh) 电池容量衰减的计算方法、装置、计算机设备及存储介质
CN115946572B (zh) 电池模组的容量计算及补电控制方法、系统、设备和介质
US11762027B2 (en) Charging control method and device, and power management controller
US20240170975A1 (en) Method, system, device and medium for recharging battery module
CN116125310B (zh) 电池电极的嵌锂量的拟合方法、系统、设备和介质

Legal Events

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

Ref document number: 20885577

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20885577

Country of ref document: EP

Kind code of ref document: A1

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 23/11/2022)

122 Ep: pct application non-entry in european phase

Ref document number: 20885577

Country of ref document: EP

Kind code of ref document: A1