CN116736135A - Battery sampling fault analysis method and device, storage medium and electronic equipment - Google Patents

Battery sampling fault analysis method and device, storage medium and electronic equipment Download PDF

Info

Publication number
CN116736135A
CN116736135A CN202310761668.7A CN202310761668A CN116736135A CN 116736135 A CN116736135 A CN 116736135A CN 202310761668 A CN202310761668 A CN 202310761668A CN 116736135 A CN116736135 A CN 116736135A
Authority
CN
China
Prior art keywords
fault
sampling
analysis
battery
diagnostic analysis
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN202310761668.7A
Other languages
Chinese (zh)
Inventor
王明
范广冲
陈永胜
谷文博
尹芳芳
王希凯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
FAW Group Corp
Original Assignee
FAW Group Corp
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 FAW Group Corp filed Critical FAW Group Corp
Priority to CN202310761668.7A priority Critical patent/CN116736135A/en
Publication of CN116736135A publication Critical patent/CN116736135A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/54Testing for continuity

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)

Abstract

The embodiment of the disclosure provides a battery sampling fault analysis method, a device, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is positioned according to a fault message of the voltage sampling open-circuit fault; performing predetermined diagnostic analysis on the battery cell and a sampling circuit where the battery cell is located, wherein the predetermined diagnostic analysis comprises full life cycle diagnostic analysis, battery cell body diagnostic analysis, external sampling circuit diagnostic analysis and BMS software diagnostic analysis; and determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result. According to the embodiment of the disclosure, all components in a sampling loop of the power battery can be effectively and comprehensively examined, and the problem reasons and the fault positions of the voltage sampling open-circuit faults can be rapidly located, so that the battery sampling open-circuit faults can be rapidly and effectively analyzed, and the fault examination and the solution can be rapidly carried out.

Description

Battery sampling fault analysis method and device, storage medium and electronic equipment
Technical Field
The disclosure relates to the technical field of fault diagnosis, in particular to a battery sampling fault analysis method, a device, a storage medium and electronic equipment.
Background
With the continuous development of new energy industry, the storage amount of new energy automobiles in the market at present is rapidly increased, and the reliability of the new energy automobiles is already the focus of attention of a great deal of users. The power battery is used as a key core component of the new energy automobile and is generally composed of dozens or hundreds of electric cores, and voltage signals of a plurality of electric cores need to be collected and monitored in the working process of the power battery assembly so as to ensure the performance of the battery assembly and the normal working state of each electric core and ensure the safety and reliability of the new energy automobile side. However, at present, the battery assembly cannot work normally due to the open-circuit fault of battery voltage sampling on the market occasionally, and the use of the whole vehicle is affected.
The current battery assembly mainly comprises a low-voltage beam, a BMS system, a high-voltage system, an upper box, a lower box, a thermal management system and dozens or hundreds of electric cores, and the types and the numbers of parts are various. In the working process of the battery, voltage acquisition and monitoring are required to be carried out on all the battery cells, and the number of related parts is large, the transmission path is long and the process is complex, so that when the open-circuit fault of battery voltage sampling occurs, fault analysis and investigation cannot be completed as soon as possible, and the normal use of the battery assembly and the new energy automobile is affected.
Disclosure of Invention
An object of an embodiment of the present disclosure is to provide a battery sampling fault analysis method, apparatus, storage medium and electronic device, so as to solve the problems in the prior art.
In order to solve the above technical problems, the embodiments of the present disclosure adopt the following technical solutions:
an aspect of the disclosed embodiments provides a battery sampling fault analysis method, which is used for a power battery assembly, the power battery assembly includes a BMS system, the BMS system is connected with a flexible circuit board through a low voltage harness, the flexible circuit board is connected with a plurality of groups of battery units, each group of battery units includes a nickel plate, an aluminum bar and a battery cell, and the battery sampling fault analysis method includes:
acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is positioned according to a fault message of the voltage sampling open-circuit fault;
performing predetermined diagnostic analysis on the battery cell and a sampling circuit where the battery cell is located, wherein the predetermined diagnostic analysis comprises full life cycle diagnostic analysis, battery cell body diagnostic analysis, external sampling circuit diagnostic analysis and BMS software diagnostic analysis;
and determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
In some embodiments, the voltage sampling open circuit fault is obtained by collecting operating parameters of a battery on the vehicle including at least cell voltage, cell number, internal circuit resistance, battery assembly temperature, and cell state of charge.
In some embodiments, the full life cycle diagnostic analysis is used to identify the presence or absence of faults in historical operating data for battery cells and the BMS system in which a voltage sampling open fault loop occurred.
In some embodiments, the cell body diagnostic analysis is used to perform diagnostic analysis for the condition of the body of the cell in the sampling loop where the voltage sampling open circuit fault occurred to confirm whether the operational state of the body of the cell is abnormal.
In some embodiments, the external sampling loop diagnostic analysis includes at least one of a diagnostic analysis for a post connection of the aluminum bar to the battery cell, a diagnostic analysis for a connection of the nickel tab to the aluminum bar, a diagnostic analysis for a connection of the flexible circuit board to the nickel tab, a diagnostic analysis for FPC wiring, a diagnostic analysis for a connection of the low voltage wiring harness to the flexible circuit board, a line diagnostic analysis for the low voltage wiring harness, and a diagnostic analysis for a connection of the BMS to the low voltage wiring harness.
In some embodiments, the BMS software and hardware diagnostic analyses include a diagnostic analysis for BMS software and a diagnostic analysis for BMS hardware, the diagnostic analysis for BMS software being to confirm whether the BMS software is normal; the diagnosis analysis for the BMS hardware refers to confirming whether the sampling loop of the BMS hardware is normal.
In some embodiments, after determining the fault cause and the fault occurrence location of the voltage sampling open circuit fault based on the diagnosis result, the method further comprises:
performing problem repair on the voltage sampling open circuit fault;
and carrying out test verification of a rack and the whole vehicle aiming at the battery assembly.
Another aspect of the disclosed embodiments provides a battery sampling failure analysis apparatus, including:
the acquisition module is used for acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is positioned according to a fault message of the voltage sampling open-circuit fault;
the diagnosis analysis module is used for carrying out preset diagnosis analysis on the battery cell and a sampling circuit where the battery cell is located, wherein the preset diagnosis analysis comprises full life cycle diagnosis analysis, battery cell body diagnosis analysis, external sampling circuit diagnosis analysis and BMS software diagnosis analysis;
and the fault determining module is used for determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
The present disclosure also provides a storage medium storing a computer program which, when executed by a processor, performs the steps of any of the methods described above.
The present disclosure also provides an electronic device comprising at least a memory, a processor, the memory having stored thereon a computer program, the processor, when executing the computer program on the memory, implementing the steps of any of the methods described above.
According to the embodiment of the disclosure, all components such as a battery core, a nickel plate, aluminum bars, a flexible circuit board, a wire harness, a BMS (battery management system) and the like in a sampling loop of a power battery can be comprehensively examined, the problem reason and the fault position of a voltage sampling open-circuit fault can be rapidly located, and therefore the battery sampling open-circuit fault can be rapidly and effectively analyzed, and the problem examination and the solution can be rapidly carried out.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
FIG. 1 is a schematic layout view of a power cell assembly according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram illustrating steps of a battery sampling failure analysis method according to an embodiment of the present disclosure.
Detailed Description
Various aspects and features of the disclosure are described herein with reference to the drawings.
It should be understood that various modifications may be made to the embodiments of the application herein. Therefore, the above description should not be taken as limiting, but merely as exemplification of the embodiments. Other modifications within the scope and spirit of this disclosure will occur to persons of ordinary skill in the art.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and, together with a general description of the disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.
These and other characteristics of the present disclosure will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.
It should also be understood that, although the present disclosure has been described with reference to some specific examples, a person skilled in the art will certainly be able to achieve many other equivalent forms of the present disclosure, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.
The above and other aspects, features and advantages of the present disclosure will become more apparent in light of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present disclosure will be described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely examples of the disclosure, which may be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the disclosure in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely serve as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.
The specification may use the word "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure.
A first embodiment of the present disclosure relates to a battery sampling failure analysis method applied to a power battery assembly of a vehicle, as shown in fig. 1, the power battery assembly includes a BMS system 10 (battery management system), the BMS system 10 is connected with a flexible circuit board 30 (FPC) through a low voltage harness 20, the flexible circuit board 30 is connected with a plurality of groups of battery cells, each group of battery cells includes a nickel plate 1, an aluminum bar 2, and a battery cell 3. The nickel sheet 1, the aluminum bar 2 and the battery cell 3 are a group of components, one end of the nickel sheet 1 is connected with the aluminum bar 2 through laser welding, the other end of the nickel sheet 1 is connected with the flexible circuit board 30, and the aluminum bar 2 is connected with a pole of the battery cell 3 through laser welding.
The battery sampling fault analysis method according to the embodiment of the present disclosure mainly aims at the battery voltage sampling open circuit fault occurring in the power battery, as shown in fig. 2, and mainly includes the following steps,
s101, acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is located according to a fault message of the voltage sampling open-circuit fault.
In the step, a voltage sampling open-circuit fault is obtained, and a cell with the sampling open-circuit fault and a sampling loop where the cell is located are determined according to a fault message of the voltage sampling open-circuit fault. In this step, the operating parameters of the battery on the vehicle, including at least the cell voltage, the cell number, the internal resistance of the circuit, the battery assembly temperature, the state of charge of the cell, etc., need to be collected to obtain the voltage sampling open circuit fault. After comparing the operation parameters with the threshold values corresponding to normal operation, the occurrence of the voltage sampling open-circuit fault can be determined and a fault message is formed. Further, determining the battery cell with the sampling open-circuit fault and the sampling loop where the battery cell is located according to the fault message formed by the voltage sampling open-circuit fault.
S102, carrying out preset diagnosis analysis on the battery cell and a sampling loop where the battery cell is located, wherein the preset diagnosis analysis comprises full life cycle diagnosis analysis, battery cell body diagnosis analysis, external sampling loop diagnosis analysis and BMS software diagnosis analysis.
After the voltage sampling open-circuit fault is obtained in the step S101, and the cell and the sampling loop where the sampling open-circuit fault occurs are determined according to the fault message of the voltage sampling open-circuit fault, in this step, predetermined diagnostic analysis is performed for the cell and the sampling loop where the sampling open-circuit fault occurs. The predetermined diagnostic analysis herein includes a full life cycle diagnostic analysis, a cell body diagnostic analysis, an external sampling loop diagnostic analysis, and a BMS software diagnostic analysis.
Furthermore, the full life cycle diagnosis analysis is based on full life cycle health management of the power battery, and can accurately evaluate, early warn and realize management of operation and maintenance of the health state of the power battery. The full life cycle diagnosis analysis can identify whether faults occur in the historical operation data of the power battery unit and the BMS system of the sampling open-circuit fault loop or not, and the position of the fault loop can be determined preliminarily.
Further, the diagnosis and analysis of the battery cell body are mainly performed for the situation of the battery cell body in the sampling loop with the open-circuit fault of the voltage sampling, so as to confirm whether the operation state of the battery cell body is abnormal, for example, the voltage of the battery cell body can be collected through a collecting device such as a universal meter, a voltmeter and the like, and the collecting positions for collecting are two poles of the battery cell, so that whether the voltage of the battery cell is in a normal working range is diagnosed and analyzed.
Further, the external sampling loop diagnostic analysis mainly includes at least one of a diagnostic analysis for connection of the aluminum bar with a post of the battery cell, a diagnostic analysis for connection of the nickel plate with the aluminum bar, a diagnostic analysis for connection of the flexible circuit board with the nickel plate, a diagnostic analysis for FPC wiring, a diagnostic analysis for connection of the low voltage wiring harness with the flexible circuit board, a line diagnostic analysis for the low voltage wiring harness, and a diagnostic analysis for connection of the BMS with the low voltage wiring harness.
Here, the diagnostic analysis for the connection of the aluminum bar and the battery cell terminal refers to confirming the connection reliability of the laser welding between the aluminum bar and the battery cell terminal, for example, judging whether or not a cold joint and a looseness or a drop occur. The diagnostic analysis for the connection of the nickel plate and the aluminum bar is to confirm whether the connection contact of the nickel plate and the aluminum bar is reliable, for example, to judge whether cold joint and looseness or falling off occur. The diagnostic analysis for the connection between the flexible circuit board and the nickel sheet is to confirm whether the connection contact between the flexible circuit board and the nickel sheet is reliable, for example, to determine whether a cold joint or a loosening or a falling-off occurs. Diagnostic analysis of the FPC line refers to detecting whether the FPC line is intact and conducting. The diagnostic analysis for the connection of the low-voltage harness and the flexible circuit board refers to determining whether the connection of the low-voltage harness and the flexible circuit board is reliable, for example, determining whether a connector is loose, loose or dropped. The line diagnostic analysis for the low voltage harness is to detect whether the low voltage harness is intact and conductive. The diagnostic analysis value for the connection of the BMS and the low voltage harness means to confirm whether the connection of the BMS and the low voltage harness is reliable, for example, to determine whether a connector is loose, loose or dropped.
Further, the BMS software and hardware diagnostic analyses mainly include a diagnostic analysis for BMS software and a diagnostic analysis for BMS hardware, where the diagnostic analysis for BMS software and the diagnostic analysis for BMS hardware may be performed based on a predetermined order, and the diagnostic analysis for BMS software refers to a confirmation of whether the BMS software is normal; in particular, the diagnostic analysis for BMS software herein includes detecting whether software scheduling, software interface configuration, data storage registers, etc. are normal.
The diagnosis analysis for BMS hardware is to confirm whether a sampling loop of the BMS hardware is normal or not; the diagnostic analysis for BMS hardware includes detecting reliability of connector and pad connection in BMS hardware, detecting whether an employee RC filter resistor in a BMS hardware circuit has accidental short circuit, detecting whether an AFE chip pin in the BMS hardware circuit has false soldering, loosening or falling off, and the like.
And S103, determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
After performing the predetermined diagnostic analysis on the battery cell and the sampling circuit in which the battery cell is located in step S102, in this step, the fault cause and the fault occurrence position of the voltage sampling open circuit fault are determined based on the diagnostic result. Specifically, after the full life cycle diagnostic analysis, the battery cell body diagnostic analysis, the external sampling loop diagnostic analysis and the BMS software diagnostic analysis are completed, specific fault causes and fault occurrence positions can be determined.
In some embodiments, determining the fault cause and the fault occurrence location of the voltage sampling open circuit fault further comprises performing a problem repair for the voltage sampling open circuit fault. The fault repair is mainly carried out according to the fault reason and the fault occurrence position of the voltage open circuit fault, so that the normal function and performance of the battery are ensured to be recovered.
In some embodiments, after the problem repair is performed for the voltage sampling open circuit fault, further comprising performing test verification of a rack and a whole vehicle for the battery assembly, and verifying reliability of the battery after the repair. Specifically, if the test fails to verify, returning to re-develop the diagnostic analysis to find other fault causes; if the test verifies that the fault is passed, the fault is processed.
According to the embodiment of the disclosure, all components such as a battery core, a nickel plate, aluminum bars, a flexible circuit board, a wire harness, a BMS (battery management system) and the like in a sampling loop of a power battery can be comprehensively examined, the problem reason and the fault position of a voltage sampling open-circuit fault can be rapidly located, and therefore the battery sampling open-circuit fault can be rapidly and effectively analyzed, and the problem examination and the solution can be rapidly carried out.
Based on the same inventive concept as the first embodiment described above, a second embodiment of the present disclosure provides a battery sampling failure analysis apparatus for a power battery assembly including a BMS system connected with a flexible circuit board through a low voltage harness, the flexible circuit board being connected with a plurality of groups of battery cells, each group of battery cells including a nickel plate, an aluminum bar, and a battery cell, which includes an acquisition module, a diagnostic analysis module, and a failure determination module coupled to each other, wherein:
the acquisition module is used for acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is positioned according to a fault message of the voltage sampling open-circuit fault;
the diagnosis analysis module is used for carrying out preset diagnosis analysis on the battery cell and a sampling circuit where the battery cell is located, wherein the preset diagnosis analysis comprises full life cycle diagnosis analysis, battery cell body diagnosis analysis, external sampling circuit diagnosis analysis and BMS software diagnosis analysis;
the fault determining module is used for determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
Further, the open circuit fault of the voltage sampling is obtained by collecting the operation parameters of the battery on the vehicle, wherein the operation parameters at least comprise the battery cell voltage, the battery cell number, the internal resistance of the loop, the temperature of the battery assembly and the charge state of the battery cell.
Further, the full life cycle diagnostic analysis is used to identify the occurrence of a voltage sampling open fault loop in the battery cells and the BMS system in the historical operating data.
Further, the battery cell body diagnostic analysis is used for performing diagnostic analysis on the condition of the battery cell body in the sampling loop in which the voltage sampling open-circuit fault occurs, so as to confirm whether the operation state of the battery cell body is abnormal.
Further, the external sampling loop diagnostic analysis includes at least one of a diagnostic analysis for connection of the aluminum bar to a post of the battery cell, a diagnostic analysis for connection of the nickel tab to the aluminum bar, a diagnostic analysis for connection of the flexible circuit board to the nickel tab, a diagnostic analysis for FPC wiring, a diagnostic analysis for connection of the low voltage wiring harness to the flexible circuit board, a line diagnostic analysis for the low voltage wiring harness, and a diagnostic analysis for connection of the BMS to the low voltage wiring harness.
Further, the BMS software and hardware diagnostic analysis mainly comprises a diagnostic analysis for BMS software and a diagnostic analysis for BMS hardware, wherein the diagnostic analysis for BMS software is to confirm whether the BMS software is normal or not; the diagnosis analysis for the BMS hardware refers to confirming whether the sampling loop of the BMS hardware is normal.
Further, the device also comprises a repair verification module which is used for repairing the problems of the voltage sampling open-circuit faults; and carrying out test verification of a rack and the whole vehicle aiming at the battery assembly.
According to the embodiment of the disclosure, all components such as a battery core, a nickel plate, aluminum bars, a flexible circuit board, a wire harness, a BMS (battery management system) and the like in a sampling loop of a power battery can be comprehensively examined, the problem reason and the fault position of a voltage sampling open-circuit fault can be rapidly located, and therefore the battery sampling open-circuit fault can be rapidly and effectively analyzed, and the problem examination and the solution can be rapidly carried out.
A third embodiment of the present disclosure provides a storage medium, which is a computer-readable medium storing a computer program that, when executed by a processor, implements the method provided by the first embodiment of the present disclosure, including steps S11 to S13 as follows:
s11, acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is located according to a fault message of the voltage sampling open-circuit fault;
s12, carrying out preset diagnosis analysis on the battery cell and a sampling loop where the battery cell is located, wherein the preset diagnosis analysis comprises full life cycle diagnosis analysis, battery cell body diagnosis analysis, external sampling loop diagnosis analysis and BMS software diagnosis analysis;
and S13, determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
Further, the computer program, when executed by a processor, implements other methods provided by the first embodiment of the present disclosure
According to the embodiment of the disclosure, all components such as a battery core, a nickel plate, aluminum bars, a flexible circuit board, a wire harness, a BMS (battery management system) and the like in a sampling loop of a power battery can be comprehensively examined, the problem reason and the fault position of a voltage sampling open-circuit fault can be rapidly located, and therefore the battery sampling open-circuit fault can be rapidly and effectively analyzed, and the problem examination and the solution can be rapidly carried out.
A fourth embodiment of the present disclosure provides an electronic device comprising at least a memory having a computer program stored thereon and a processor that, when executing the computer program on the memory, implements the method provided by any of the embodiments of the present disclosure. Exemplary, the electronic device computer program steps are as follows S21 to S23:
s21, acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is located according to a fault message of the voltage sampling open-circuit fault;
s22, carrying out preset diagnosis analysis on the battery cell and a sampling loop where the battery cell is located, wherein the preset diagnosis analysis comprises full life cycle diagnosis analysis, battery cell body diagnosis analysis, external sampling loop diagnosis analysis and BMS software diagnosis analysis;
s23, determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
Further, the processor also executes the computer program in the third embodiment described above
According to the embodiment of the disclosure, all components such as a battery core, a nickel plate, aluminum bars, a flexible circuit board, a wire harness, a BMS (battery management system) and the like in a sampling loop of a power battery can be comprehensively examined, the problem reason and the fault position of a voltage sampling open-circuit fault can be rapidly located, and therefore the battery sampling open-circuit fault can be rapidly and effectively analyzed, and the problem examination and the solution can be rapidly carried out.
The storage medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects an internet protocol address from the at least two internet protocol addresses and returns the internet protocol address; receiving an Internet protocol address returned by node evaluation equipment; wherein the acquired internet protocol address indicates an edge node in the content distribution network.
Alternatively, the storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the passenger computer, partly on the passenger computer, as a stand-alone software package, partly on the passenger computer and partly on a remote computer or entirely on the remote computer or server. In the case of remote computers, the remote computer may be connected to the passenger computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., connected through the internet using an internet service provider).
It should be noted that the storage medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: 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 disclosure, 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. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any storage 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 storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.
While various embodiments of the present disclosure have been described in detail, the present disclosure is not limited to these specific embodiments, and various modifications and embodiments can be made by those skilled in the art on the basis of the concepts of the present disclosure, which modifications and modifications should fall within the scope of the claims of the present disclosure.

Claims (10)

1. The utility model provides a battery sampling fault analysis method, its is used for power battery assembly, power battery assembly includes BMS system, BMS system passes through low voltage pencil and is connected with flexible circuit board, flexible circuit board is connected with multiunit battery unit, every group battery unit all includes nickel piece, aluminium bar and electric core, its characterized in that includes:
acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is positioned according to a fault message of the voltage sampling open-circuit fault;
performing predetermined diagnostic analysis on the battery cell and a sampling circuit where the battery cell is located, wherein the predetermined diagnostic analysis comprises full life cycle diagnostic analysis, battery cell body diagnostic analysis, external sampling circuit diagnostic analysis and BMS software diagnostic analysis;
and determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
2. The battery sample fault analysis method of claim 1, wherein the voltage sample open circuit fault is obtained by collecting operating parameters of a battery on a vehicle, the operating parameters including at least cell voltage, cell number, circuit internal resistance, battery assembly temperature, cell state of charge.
3. The battery sampling failure analysis method according to claim 1, wherein the full life cycle diagnostic analysis is used to identify the occurrence of a failure in a battery cell of a voltage sampling open failure circuit and the BMS system in historical operation data.
4. The battery sampling failure analysis method according to claim 1, wherein the cell body diagnostic analysis is used for diagnostic analysis for the case of the body of the cell in the sampling loop in which the voltage sampling open-circuit failure occurs to confirm whether the operation state of the body of the cell is abnormal.
5. The battery sampling failure analysis method according to claim 1, wherein the external sampling loop diagnostic analysis includes at least one of a diagnostic analysis for connection of the aluminum bar to a post of the battery cell, a diagnostic analysis for connection of the nickel plate to the aluminum bar, a diagnostic analysis for connection of the flexible circuit board to the nickel plate, a diagnostic analysis for FPC wiring, a diagnostic analysis for connection of the low voltage harness to the flexible circuit board, a line diagnostic analysis for the low voltage harness, and a diagnostic analysis for connection of the BMS to the low voltage harness.
6. The battery sampling fault analysis method according to claim 1, wherein the BMS software and hardware diagnostic analysis includes a diagnostic analysis for BMS software and a diagnostic analysis for BMS hardware, the diagnostic analysis for BMS software being to confirm whether the BMS software is normal; the diagnosis analysis for the BMS hardware refers to confirming whether the sampling loop of the BMS hardware is normal.
7. The battery sampling failure analysis method according to claim 1, further comprising, after the determining of the failure cause and failure occurrence position of the voltage sampling open-circuit failure based on the diagnosis result:
performing problem repair on the voltage sampling open circuit fault;
and carrying out test verification of a rack and the whole vehicle aiming at the battery assembly.
8. The utility model provides a battery sampling trouble analysis device, its is used for power battery assembly, power battery assembly includes BMS system, BMS system passes through low voltage pencil and is connected with flexible circuit board, flexible circuit board is connected with multiunit battery cell, every group battery cell all includes nickel piece, aluminium bar and electric core, its characterized in that includes:
the acquisition module is used for acquiring a voltage sampling open-circuit fault, and determining a cell with the sampling open-circuit fault and a sampling loop where the cell is positioned according to a fault message of the voltage sampling open-circuit fault;
the diagnosis analysis module is used for carrying out preset diagnosis analysis on the battery cell and a sampling circuit where the battery cell is located, wherein the preset diagnosis analysis comprises full life cycle diagnosis analysis, battery cell body diagnosis analysis, external sampling circuit diagnosis analysis and BMS software diagnosis analysis;
and the fault determining module is used for determining the fault reason and the fault occurrence position of the voltage sampling open-circuit fault based on the diagnosis result.
9. A storage medium storing a computer program, which when executed by a processor performs the steps of the method according to any one of claims 1 to 7.
10. An electronic device comprising at least a memory, a processor, the memory having stored thereon a computer program, characterized in that the processor, when executing the computer program on the memory, implements the steps of the method according to any of claims 1 to 7.
CN202310761668.7A 2023-06-26 2023-06-26 Battery sampling fault analysis method and device, storage medium and electronic equipment Pending CN116736135A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310761668.7A CN116736135A (en) 2023-06-26 2023-06-26 Battery sampling fault analysis method and device, storage medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310761668.7A CN116736135A (en) 2023-06-26 2023-06-26 Battery sampling fault analysis method and device, storage medium and electronic equipment

Publications (1)

Publication Number Publication Date
CN116736135A true CN116736135A (en) 2023-09-12

Family

ID=87918338

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310761668.7A Pending CN116736135A (en) 2023-06-26 2023-06-26 Battery sampling fault analysis method and device, storage medium and electronic equipment

Country Status (1)

Country Link
CN (1) CN116736135A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117290151A (en) * 2023-11-27 2023-12-26 宁德时代新能源科技股份有限公司 Method, device, equipment, system and medium for determining fault cause of power supply module
CN117290150A (en) * 2023-11-27 2023-12-26 宁德时代新能源科技股份有限公司 Fault cause determining method, device, equipment, system and medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117290151A (en) * 2023-11-27 2023-12-26 宁德时代新能源科技股份有限公司 Method, device, equipment, system and medium for determining fault cause of power supply module
CN117290150A (en) * 2023-11-27 2023-12-26 宁德时代新能源科技股份有限公司 Fault cause determining method, device, equipment, system and medium
CN117290150B (en) * 2023-11-27 2024-04-19 宁德时代新能源科技股份有限公司 Fault cause determining method, device, equipment, system and medium
CN117290151B (en) * 2023-11-27 2024-06-18 宁德时代新能源科技股份有限公司 Method, device, equipment, system and medium for determining fault cause of power supply module

Similar Documents

Publication Publication Date Title
CN116736135A (en) Battery sampling fault analysis method and device, storage medium and electronic equipment
EP4102615A1 (en) Early warning method and apparatus, device and storage medium
CN113415165B (en) Fault diagnosis method and device, electronic equipment and storage medium
US20220146583A1 (en) System and method for diagnosing battery
CN102565619A (en) State diagnosis method for small-current ground fault line selection device
CN112463428B (en) Automobile bus fault diagnosis method and device and computing equipment
CN108983019A (en) Cable continuity test method, apparatus and test equipment
CN107271854B (en) Dual-redundancy equipotential cable network mixed wire testing device and testing method
CN210526306U (en) High-voltage interlocking detection circuit and electric automobile
CN112904098A (en) Health diagnosis device and method for rail transit electrical control screen cabinet
CN115327282B (en) Power supply system fault diagnosis method
CN114394006B (en) New energy automobile charging fault rapid diagnosis method
DE102013203015A1 (en) Method and apparatus for determining abnormal conditions in an electric vehicle system
CN110971458A (en) Whole car state monitoring devices
KR102312704B1 (en) Apparatus for diagnosing leakage current and measuring insulation aging for transformer bushing using bushing adapter
CN115684976A (en) Online fault diagnosis and positioning method for energy storage battery, electronic equipment and medium
CN114771295A (en) Method and device for diagnosing failure of charge-discharge system
JP5886587B2 (en) Railway signal equipment voltage measuring wire auxiliary tool and measuring method
CN117741293B (en) Aviation solid-state block terminal on-line measuring device
CN112816836A (en) Fault detection system, partial discharge online monitoring device and method
CN220438438U (en) Surge detection device and vehicle
CN115407254B (en) Sensor signal short-circuit power failure detection method and detection device
CN117290150B (en) Fault cause determining method, device, equipment, system and medium
CN114039114B (en) Sampling failure diagnosis method, apparatus and storage medium for battery management system
CN220894466U (en) Communication fault detection circuit of lithium battery system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination