CN114039114A - Sampling failure diagnosis method, device and storage medium for battery management system - Google Patents

Sampling failure diagnosis method, device and storage medium for battery management system Download PDF

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Publication number
CN114039114A
CN114039114A CN202111297235.8A CN202111297235A CN114039114A CN 114039114 A CN114039114 A CN 114039114A CN 202111297235 A CN202111297235 A CN 202111297235A CN 114039114 A CN114039114 A CN 114039114A
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China
Prior art keywords
data sequence
management system
sampling
battery
battery management
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Pending
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CN202111297235.8A
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Chinese (zh)
Inventor
贾肖瑜
王昊
张鹏
麻胜南
张强
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Sinotruk Data Co ltd
China Automotive Technology and Research Center Co Ltd
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Sinotruk Data Co ltd
China Automotive Technology and Research Center Co Ltd
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Priority to CN202111297235.8A priority Critical patent/CN114039114A/en
Publication of CN114039114A publication Critical patent/CN114039114A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/079Root cause analysis, i.e. error or fault diagnosis
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4278Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

Abstract

The embodiment of the invention discloses a sampling failure diagnosis method, a device and a storage medium of a battery management system, and relates to the technical field of power batteries. The method comprises the following steps: acquiring a data sequence continuously sampled by a battery management system of the power battery; according to the data sequence, diagnosing whether a communication fault occurs between the battery management system and at least one sampling chip on the power battery; if no communication fault occurs, diagnosing whether the at least one sampling chip has an open circuit fault on the power battery according to the data sequence; if the open circuit fault does not occur, screening the cell pairs with the voltage difference or the temperature difference exceeding a set threshold value according to the data sequence; and if the cell pairs are adjacent, diagnosing that the sampling of the battery management system is invalid. The present embodiment can diagnose whether the sampled data of the BMS has failed.

Description

Sampling failure diagnosis method, device and storage medium for battery management system
Technical Field
The embodiment of the invention relates to a power battery technology, in particular to a sampling failure diagnosis method, a device and a storage medium of a battery management system.
Background
With the development of electric automobile electromotion, intellectualization and networking, a safety monitoring platform for monitoring the electric automobile begins to appear and obtains a better effect. The monitoring platform detects and predicts the safety of the automobile by acquiring real-time data of the electric automobile, the power Battery is used as a key component of the electric automobile, and the accuracy of the Battery Management System (BMS) sampling data of the power Battery directly influences the accuracy of the monitoring platform on the safety monitoring of the electric automobile. In order to improve the accuracy of BMS sampling data, BMS sampling failure data need to be found in time and processed correspondingly.
In the prior art, failure analysis and disposal are generally not performed on the sampled data, and the sampled data of the BMS is directly used for subsequent operation and storage, for example, whether a battery core fails or not is judged. Using the invalidated data for subsequent storage and calculation may result in erroneous determinations.
Disclosure of Invention
The embodiment of the invention provides a sampling failure diagnosis method, a device and a storage medium of a battery management system, which are used for diagnosing whether sampling data of a BMS (battery management system) fail or not.
In a first aspect, an embodiment of the present invention provides a sampling failure diagnosis method for a battery management system, including:
acquiring a data sequence continuously sampled by a battery management system of the power battery;
according to the data sequence, diagnosing whether a communication fault occurs between the battery management system and at least one sampling chip on the power battery;
if no communication fault occurs, diagnosing whether the at least one sampling chip has an open circuit fault on the power battery according to the data sequence;
if the open circuit fault does not occur, screening the cell pairs with the voltage difference or the temperature difference exceeding a set threshold value according to the data sequence;
and if the cell pairs are adjacent, diagnosing that the sampling of the battery management system is invalid.
In a second aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a memory for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the sampling failure diagnosis method for a battery management system according to any of the embodiments.
In a third aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the sampling failure diagnosis method of the battery management system according to any embodiment.
According to the embodiment of the invention, communication fault diagnosis, open circuit fault diagnosis and adjacent diagnosis of the large-temperature difference/large-pressure difference battery cell pair are carried out in sequence according to the set diagnosis strategy, and finally the data sampling failure is determined. Moreover, the present embodiment is based on a data sequence that is continuously sampled by the battery management system for diagnosis, and is not based on other devices. The embodiment only obtains the sampling failure result according to the data sequence step by step diagnosis, and provides guiding significance for subsequent data analysis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a sampling failure diagnosis method of a battery management system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The embodiment of the invention provides a sampling failure diagnosis method of a battery management system, a flow chart of which is shown in fig. 1, and the method can be applied to the condition of diagnosing whether sampling data of the battery management system fails or not. The embodiment is executed by an electronic device, and the electronic device may be deployed in a cloud. With reference to fig. 1, the method provided in this embodiment specifically includes:
and S110, acquiring a data sequence continuously sampled by a battery management system of the power battery.
The power battery is provided with at least one sampling chip for sampling a battery pack of the power battery and each battery core, and sampling data comprises voltage, current, temperature and the like. The BMS is in communication connection with a sampling chip, and the sampling chip uploads the continuously sampled data sequence to the BMS through the communication connection. The electronic equipment reads the data sequence from the BMS, and the data sequence is actually sampled and uploaded by the sampling chip.
And S120, diagnosing whether a communication fault occurs between the battery management system and at least one sampling chip on the power battery according to the data sequence. If a communication fault occurs, jumping to S121; if no communication failure has occurred, it jumps to S130.
If a communication failure occurs between the BMS and the sampling chip, the data sequence during the communication failure is entirely lost and is not continuous. For example, there are three types of sampling chips for sampling the voltage, current and temperature of the battery pack, and during a communication failure, voltage, current and temperature data are all missing.
In a specific application scenario, when a vehicle is flameout, a sampling chip does not work, a data sequence is also lost integrally, and in order to distinguish two situations of vehicle flameout and communication fault, the following method is adopted in the embodiment: if the data sequence has continuity during the vehicle starting, diagnosing that no communication fault occurs between the battery management system and at least one sampling chip on the power battery; and if the data sequence does not have continuity during the vehicle starting, diagnosing that a communication fault occurs between the battery management system and at least one sampling chip on the power battery.
Specifically, the electronic device acquires driving data of the power battery deployment vehicle, such as positioning data, vehicle speed data, and electricity amount data, in addition to the data series of the BMS. Whether the vehicle is in the starting period or not can be judged through the running data. For example, during start-up, decreasing charge data can be read; during the flame-out period, no charge data can be read. Based on this, the data sequence of the BMS should also have continuity during the start-up. If the continuity is not available, the communication fault can be judged, and then the data sequence sampled by the battery management system is judged to be invalid, so that the real state of the power battery cannot be represented. Conversely, if continuity is present during startup, the diagnostic continues whether an open circuit fault has occurred.
And S121, diagnosing sampling failure of the battery management system.
S130, diagnosing whether the at least one sampling chip has an open circuit fault on the power battery or not according to the data sequence. If the open circuit fault occurs, jumping to S121; if no open circuit fault has occurred, the process jumps to S140.
The open circuit fault refers to the open circuit of a connecting line between the sampling chip and the power battery, and needs to be judged on the premise of meeting the data continuity during the starting period of the vehicle. That is, the BMS samples a continuous data sequence, but if there is an open failure, partial loss of data occurs. In a specific application scenario, if no communication fault occurs and the data sequence comprises the data sequences corresponding to all sampling chips, diagnosing that no open circuit fault occurs on the power battery by the at least one sampling chip; and if no communication fault occurs and the data sequence does not comprise the data sequences corresponding to all the sampling chips, diagnosing that the sampling chip corresponding to the missing data sequence has an open circuit fault on the power battery. For example, there are three types of sampling chips that respectively sample the voltage, current and temperature of a battery pack, and some of the voltage, current and temperature data may be missing during an open circuit fault. If the voltage is absent, the voltage sampling chip can be diagnosed to have an open circuit on the power battery.
Further, if an open circuit fault occurs, the data sequence sampled by the battery management system is judged to be invalid, and the true state of the power battery cannot be represented. On the contrary, if the open circuit fault does not occur, whether the large temperature difference/large pressure difference cell pair is adjacent or not is continuously diagnosed.
And S140, screening the cell pairs with the voltage difference or the temperature difference exceeding a set threshold value according to the data sequence.
In this operation, the data sequence includes a voltage value or a temperature value of each cell. Screening the highest voltage value and the lowest voltage value of the battery cell or the highest temperature value and the lowest temperature value of the battery cell according to the data sequence; calculating a voltage difference according to the highest voltage value and the lowest voltage value of the battery cell, or calculating a temperature difference according to the highest temperature value and the lowest temperature value of the battery cell; and screening out the cell pairs corresponding to the voltage difference or the temperature difference if the voltage difference or the temperature difference exceeds a set threshold value. The set threshold value can be determined according to the maximum voltage difference/the maximum temperature difference of the battery core of the power battery during normal operation.
S150, whether the cell pairs are concentrated or adjacent is judged. If the cell pairs are concentrated but not adjacent, skipping to S151; if so, jumping to S121.
And S151, diagnosing the battery cell pair fault.
The BMS can also collect the serial numbers of the battery cells as the unique identification of the battery cells. Reading the number of the battery cell pair from the data sequence based on the number; and determining whether the battery cell pairs are concentrated or adjacent according to the serial numbers. For example, if 1-4 cells are spaced between a cell pair, for example, the cell 1 and the cell 4, the cell pair is considered to be concentrated; cell 1 is adjacent to cell 2.
If the cell pairs are only concentrated and are not adjacent, the cell pair fault can be considered; if the cell pairs are adjacent, the temperature difference is unreasonable when exceeding the set threshold value due to the heat transfer of the adjacent cells, and the sampling is regarded as invalid. Such as sampling chip logic errors, data processing errors, etc.
The principle is similar in the aspect of the voltage, a special structure is arranged in the BMS to regulate and control the voltage, the BMS sampling failure is that the voltage difference of two adjacent electric cores exceeds a set threshold value, and if the electric cores are concentrated and not adjacent, the electric cores are considered to be failed.
According to the embodiment of the invention, communication fault diagnosis, open circuit fault diagnosis and adjacent diagnosis of the large-temperature difference/large-pressure difference battery cell pair are carried out in sequence according to the set diagnosis strategy, and finally the data sampling failure is determined. Moreover, the present embodiment is based on a data sequence that is continuously sampled by the battery management system for diagnosis, and is not based on other devices. The embodiment only obtains the sampling failure result according to the data sequence step by step diagnosis, and provides guiding significance for subsequent data analysis.
In the above embodiment, acquiring a data sequence that is continuously sampled by a battery management system of a power battery includes: acquiring an original data sequence continuously sampled by a battery management system of a power battery; segmenting the original data sequence according to a set time period to obtain a data sequence which is continuously sampled in each time period; and the data sequence continuously sampled in each period of time is used for respectively carrying out sampling failure diagnosis.
The original data sequence is preferably segmented, for example, if the time length of the original data sequence is 2 hours, the original data sequence is segmented into 4 data sequences according to half an hour. The operations of S120 to S151 in the above-described embodiment are performed for each sliced data sequence.
The frequency of failure diagnosis can be controlled by segmenting the data sequence, and the sampling failure condition can be conveniently found in time.
Fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 2, the electronic device includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the device may be one or more, and one processor 40 is taken as an example in fig. 2; the processor 40, the memory 41, the input means 42 and the output means 43 in the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 2.
The memory 41 serves as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the sampling failure diagnosis method of the battery management system in the embodiment of the present invention. The processor 40 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 41, that is, implements the above-described sampling failure diagnosis method of the battery management system.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 43 may include a display device such as a display screen.
Embodiments of the present invention further provide a computer-readable storage medium on which a computer program is stored, where the computer program, when executed by a processor, implements the sampling failure diagnosis method of the battery management system according to any of the embodiments.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention.

Claims (10)

1. A sampling failure diagnosis method of a battery management system is characterized by comprising the following steps:
acquiring a data sequence continuously sampled by a battery management system of the power battery;
according to the data sequence, diagnosing whether a communication fault occurs between the battery management system and at least one sampling chip on the power battery;
if no communication fault occurs, diagnosing whether the at least one sampling chip has an open circuit fault on the power battery according to the data sequence;
if the open circuit fault does not occur, screening the cell pairs with the voltage difference or the temperature difference exceeding a set threshold value according to the data sequence;
and if the cell pairs are adjacent, diagnosing that the sampling of the battery management system is invalid.
2. The method of claim 1, wherein diagnosing whether a communication fault occurs between the battery management system and at least one sampling chip on a power battery based on the data sequence comprises:
if the data sequence has continuity during the vehicle starting, diagnosing that no communication fault occurs between the battery management system and at least one sampling chip on the power battery;
and if the data sequence does not have continuity during the vehicle starting, diagnosing that a communication fault occurs between the battery management system and at least one sampling chip on the power battery.
3. The method of claim 1, wherein diagnosing whether an open circuit fault has occurred on the power cell by the at least one sampling chip based on the data sequence if a communication fault has not occurred comprises:
if no communication fault occurs and the data sequence comprises the data sequences corresponding to all the sampling chips, diagnosing that the at least one sampling chip has no open-circuit fault on the power battery;
and if no communication fault occurs and the data sequence does not comprise the data sequences corresponding to all the sampling chips, diagnosing that the sampling chip corresponding to the missing data sequence has an open circuit fault on the power battery.
4. The method of claim 1, further comprising, after said diagnosing, according to said data sequence, whether a communication failure has occurred between said battery management system and at least one sampling chip on a power battery:
if a communication fault occurs, diagnosing sampling failure of the battery management system;
after the if no communication fault occurs, diagnosing whether an open circuit fault occurs on the power battery by the at least one sampling chip according to the data sequence, the method further comprises the following steps:
and if the open circuit fault occurs, diagnosing the sampling failure of the battery management system.
5. The method of claim 1, wherein the data sequence includes a voltage value or a temperature value of each cell;
if the open circuit fault does not occur, screening the cell pairs with the voltage difference or the temperature difference exceeding a set threshold value according to the data sequence, wherein the screening comprises the following steps:
if the open circuit fault does not occur, screening the highest voltage value and the lowest voltage value of the battery cell or the highest temperature value and the lowest temperature value of the battery cell according to the data sequence;
calculating a voltage difference according to the highest voltage value and the lowest voltage value of the battery cell, or calculating a temperature difference according to the highest temperature value and the lowest temperature value of the battery cell;
and screening out the cell pairs corresponding to the voltage difference or the temperature difference if the voltage difference or the temperature difference exceeds a set threshold value.
6. The method of claim 1, wherein diagnosing a sampling failure of the battery management system if the cell pair is adjacent comprises:
reading the serial number of the battery cell pair from the data sequence;
and if the battery cell pairs are determined to be adjacent according to the serial numbers, diagnosing the sampling failure of the battery management system.
7. The method of claim 6, further comprising, after reading the cell pair numbers from the data sequence:
and if the battery cell pairs are determined to be concentrated but not adjacent according to the serial numbers, diagnosing the battery cell pair faults.
8. The method according to any one of claims 1 to 7, wherein the obtaining of the continuously sampled data sequence of the battery management system of the power battery comprises:
acquiring an original data sequence continuously sampled by a battery management system of a power battery;
segmenting the original data sequence according to a set time period to obtain a data sequence which is continuously sampled in each time period;
and the data sequence continuously sampled in each period of time is used for respectively carrying out sampling failure diagnosis.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the sample failure diagnostic method for a battery management system of any of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a sampling failure diagnosis method of a battery management system according to any one of claims 1 to 8.
CN202111297235.8A 2021-11-04 2021-11-04 Sampling failure diagnosis method, device and storage medium for battery management system Pending CN114039114A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102332616A (en) * 2011-07-29 2012-01-25 奇瑞汽车股份有限公司 Diagnosis and control method for power battery management system
WO2017143748A1 (en) * 2016-02-25 2017-08-31 比亚迪股份有限公司 Power battery, protection system thereof, and electric vehicle
CN108375737A (en) * 2017-12-29 2018-08-07 北京智行鸿远汽车有限公司 A kind of diagnostic method of battery pack monomer voltage acquisition failure
WO2019193973A1 (en) * 2018-04-02 2019-10-10 カルソニックカンセイ株式会社 Diagnostic apparatus and diagnostic method
CN111273176A (en) * 2018-12-05 2020-06-12 宁德时代新能源科技股份有限公司 Fault diagnosis optimization method, device, system and storage medium
WO2020123608A1 (en) * 2018-12-11 2020-06-18 Snap-On Incorporated Automated vehicle scan tool initialization

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102332616A (en) * 2011-07-29 2012-01-25 奇瑞汽车股份有限公司 Diagnosis and control method for power battery management system
WO2017143748A1 (en) * 2016-02-25 2017-08-31 比亚迪股份有限公司 Power battery, protection system thereof, and electric vehicle
CN108375737A (en) * 2017-12-29 2018-08-07 北京智行鸿远汽车有限公司 A kind of diagnostic method of battery pack monomer voltage acquisition failure
WO2019193973A1 (en) * 2018-04-02 2019-10-10 カルソニックカンセイ株式会社 Diagnostic apparatus and diagnostic method
CN111273176A (en) * 2018-12-05 2020-06-12 宁德时代新能源科技股份有限公司 Fault diagnosis optimization method, device, system and storage medium
WO2020123608A1 (en) * 2018-12-11 2020-06-18 Snap-On Incorporated Automated vehicle scan tool initialization

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
凌阳阳等: "动力电池单体电压采样失效分析", 《时代汽车》, no. 6, pages 146 - 147 *
曹宝健;谢先宇;魏学哲;: "电动汽车锂电池管理系统故障诊断研究", 上海汽车, no. 12 *
李刚;谢永成;李光升;程延伟;: "改进型灰色模型在铅蓄电池失效预测中的应用", 电子测量技术, no. 05 *
王瑜;: "电动汽车动力电池管理系统常见故障及处理方法", 汽车维修, no. 08 *
袁喜;: "科鲁兹轿车与诊断仪无法通信故障诊断分析", 汽车维修, no. 07 *

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