CN116840731A - Method and device for detecting faults of battery pack - Google Patents

Method and device for detecting faults of battery pack Download PDF

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Publication number
CN116840731A
CN116840731A CN202311104008.8A CN202311104008A CN116840731A CN 116840731 A CN116840731 A CN 116840731A CN 202311104008 A CN202311104008 A CN 202311104008A CN 116840731 A CN116840731 A CN 116840731A
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China
Prior art keywords
battery
voltage
variance
fault
cell
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Application number
CN202311104008.8A
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Chinese (zh)
Inventor
赵珈卉
王晓龙
秦晔
李遥宇
朱勇
刘明义
王建星
刘承皓
孙悦
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Huaneng Clean Energy Research Institute
Huaneng Lancang River Hydropower Co Ltd
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Huaneng Clean Energy Research Institute
Huaneng Lancang River Hydropower Co Ltd
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Priority to CN202311104008.8A priority Critical patent/CN116840731A/en
Publication of CN116840731A publication Critical patent/CN116840731A/en
Pending legal-status Critical Current

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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]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • 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
    • 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
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52—Testing for short-circuits, leakage current or ground faults
    • 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
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/54—Testing for continuity

Abstract

The application provides a fault detection method and device for a battery pack, and relates to the technical field of battery fault diagnosis. The method comprises the following steps: acquiring the battery voltage of each battery cell in the battery pack; for any battery cell, determining whether the battery pack has an overcharge fault or an overdischarge fault according to the battery voltage of the battery cell and a preset battery voltage threshold; traversing each battery cell in response to the battery pack having no overcharge fault or overdischarge fault, and acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell for the m-th battery cell in the current traversal; and obtaining a second variance according to the correction coefficient and the first variance, and determining whether the battery pack has an open circuit fault or a short circuit fault according to the second variance. The embodiment of the application can effectively diagnose the initial micro-faults of the battery, prevent the occurrence of battery safety accidents and improve the robustness of fault detection of the battery pack.

Description

Method and device for detecting faults of battery pack
Technical Field
The application relates to the technical field of battery fault diagnosis, in particular to a fault detection method and device for a battery pack.
Background
In the related art, a battery pack may be composed of hundreds or thousands of battery cells connected in series and/or parallel. Micro-faults of the battery are not easily found in the initial stage, and early faults are represented by small changes of the voltage of the battery cells, but if diagnosis and positioning are not performed in time, the voltage will change sharply, which will affect the normal operation of adjacent batteries and cause serious accidents.
Therefore, for example, effective diagnosis of initial micro-faults of a battery, prevention of battery safety accidents, and improvement of robustness of fault detection of a battery pack have become one of important research directions.
Disclosure of Invention
The present application aims to solve at least one of the technical problems in the related art to some extent. To this end, an object of the present application is to propose a fault detection method of a battery pack.
A second object of the present application is to provide a fault detection device for a battery pack.
A third object of the present application is to propose an electronic device.
A fourth object of the present application is to propose a non-transitory computer readable storage medium.
A fifth object of the application is to propose a computer programme product.
To achieve the above object, an embodiment of a first aspect of the present application provides a method for detecting a fault of a battery pack, including:
acquiring the battery voltage of each battery cell in the battery pack;
for any battery cell, determining whether the battery pack has an overcharge fault or an overdischarge fault according to the battery voltage of the battery cell and a preset battery voltage threshold;
traversing each battery cell in response to the battery pack having no overcharge fault or overdischarge fault, and acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell for the m-th battery cell in the current traversal;
and obtaining a second variance according to the correction coefficient and the first variance, and determining whether the battery pack has an open circuit fault or a short circuit fault according to the second variance.
The embodiment of the application can effectively diagnose the initial micro-faults of the battery, prevent the occurrence of battery safety accidents and improve the robustness of fault detection of the battery pack.
To achieve the above object, a second aspect of the present application provides a fault detection device for a battery pack, including:
the first acquisition module is used for acquiring the battery voltage of each battery cell in the battery pack at the current moment;
the first determining module is used for determining whether the battery pack has an overcharge fault or an overdischarge fault according to the battery voltage of any battery cell and a preset battery voltage threshold value;
the second acquisition module is used for acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell in response to the fact that the battery pack does not have an overcharge fault or an overdischarge fault;
and the second determining module is used for acquiring a second variance at the current moment according to the correction coefficient and the first variance and determining whether the battery pack has an open-circuit fault or a short-circuit fault according to the second variance.
To achieve the above object, an embodiment of a third aspect of the present application provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of fault detection of a battery pack provided in an embodiment of the first aspect of the present application.
To achieve the above object, an embodiment of a fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the fault detection method of the battery pack according to the embodiment of the first aspect of the present application.
To achieve the above object, an embodiment of a fifth aspect of the present application proposes a computer program product comprising a computer program which, when executed by a processor, implements the method for detecting a fault of a battery pack provided in the embodiment of the first aspect of the present application.
Drawings
Fig. 1 is a flowchart of a fault detection method of a battery pack according to an embodiment of the present application;
fig. 2 is a flowchart of a fault detection method of a battery pack according to an embodiment of the present application;
fig. 3 is a schematic view of a fault detection method of a battery pack according to an embodiment of the present application;
fig. 4 is a block diagram of a fault detection device of a battery pack according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The fault detection method of the battery pack and the apparatus thereof according to the embodiments of the present application are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a fault detection method of a battery pack according to an embodiment of the present application, as shown in fig. 1, the method including the steps of:
s101, acquiring the battery voltage of each battery cell in the battery pack.
In the embodiment of the application, the battery pack consists of hundreds or thousands of battery cells connected in series and/or in parallel, and in some implementations, the measurement voltage of each battery cell can be obtained based on a sensor and used as the battery voltage of the battery cell.
In some implementations, to continuously monitor the battery pack, the battery voltage of each battery cell may be periodically obtained, resulting in a battery voltage sequence for each battery cell.
In the embodiment of the application, an example is described in which the battery pack has M battery cells (M is an integer greater than 2), where the battery voltage sequence of the mth battery cell at the preset time may be expressed as. Wherein N represents the N-th moment, +.>Is that the battery cell m is at the firstiThe voltage at the moment in time is the same,i=1，2，…，N。
alternatively, the nth time may be the current time. Where m=1, 2, …, M.
S102, for any battery cell, determining whether the battery pack has an overcharge fault or an overdischarge fault according to the battery voltage of the battery cell and a preset battery voltage threshold.
In the embodiment of the application, the battery voltage threshold comprises a first battery voltage threshold and a second battery voltage threshold, wherein the first battery voltage threshold is larger than the second battery voltage threshold, and the overcharge fault of the battery pack is determined in response to the fact that the battery voltage of the battery cell is larger than the first battery voltage threshold. And determining that the battery pack has an overdischarge fault in response to the battery voltage of the battery cell being less than the second battery voltage threshold.
In other words, in the embodiment of the present application, the first battery voltage threshold is the maximum battery voltage limit, and the second battery voltage threshold is the minimum battery voltage threshold, that is, if the battery cell voltage exceeds the maximum battery voltage limit, it is determined that the battery pack has an overcharge failure. And if the cell voltage is lower than the minimum cell voltage limit, judging that the battery pack has over-discharge faults.
And S103, traversing each battery cell in response to the battery pack without overcharge failure or overdischarge failure, and acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell for the m-th battery cell in the current traversal.
In some embodiments, in response to the battery pack not having an overcharge or overdischarge fault, continuing to determine whether the battery pack has an open circuit fault or a short circuit fault.
In the embodiment of the application, the first variance is obtained according to the battery voltage of each battery cell, and the larger the variance is, the larger the dispersion degree of the battery voltage sequence is, that is, the small fault may exist in the battery. Conversely, the smaller the variance, the lower the degree of dispersion of the battery voltage sequence, that is, the less likely the battery cell will fail. Therefore, even if the battery voltage is within the cutoff voltage range, a fault existing in the battery pack can be diagnosed.
In some implementations, to further identify that the fault type of the battery pack is an open-circuit fault or a short-circuit fault, a correction coefficient of the discrete information of the battery voltage sequence may be obtained according to the battery voltage of each battery cell, so as to reflect the abnormal dispersion degree of the battery voltage subsequently, and identify the fault type of the battery pack.
S104, obtaining a second variance according to the correction coefficient and the first variance, and determining whether the battery pack has an open circuit fault or a short circuit fault according to the second variance.
In some implementations, the product of the correction coefficient and the first variance may be determined to be the second variance.
In some implementations, the second variance is compared to a preset variance threshold to determine whether an open circuit fault or a short circuit fault exists in the battery pack.
In some implementations, when the random sudden increase of the battery voltage of the single battery results in the real-time voltage being greater than the average voltage, the second variance will also suddenly increase, and when the random sudden decrease of the battery voltage of the single battery results in the real-time voltage being less than the average voltage, the second variance will also suddenly decrease.
In the embodiment of the application, aiming at any battery cell, whether the battery pack has an overcharge fault or an overdischarge fault is determined according to the battery voltage of the battery cell and a preset battery voltage threshold; traversing each battery cell in response to the battery pack having no overcharge fault or overdischarge fault, and acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell for the m-th battery cell in the current traversal; and obtaining a second variance according to the correction coefficient and the first variance, and determining whether the battery pack has an open circuit fault or a short circuit fault according to the second variance. The embodiment of the application can effectively diagnose the initial micro-faults of the battery, prevent the occurrence of battery safety accidents and improve the robustness of fault detection of the battery pack.
Fig. 2 is a flowchart of a fault detection method of a battery pack according to an embodiment of the present application, as shown in fig. 2, the method including the steps of:
s201, obtaining the battery voltage of each battery cell in the battery pack.
S202, aiming at any battery cell, determining that the battery pack has no overcharge fault or overdischarge fault according to the battery voltage of the battery cell and a preset battery voltage threshold.
The descriptions of step S201 to step S202 may be referred to the content in the above embodiments, and will not be repeated here.
And S203, traversing each battery cell, and for the m-th battery cell of the current traversal, acquiring a first voltage average value according to the battery voltage of each battery cell and acquiring a second voltage average value according to the battery voltage of the m-th battery cell in a preset time.
By the m-th battery celliFor example, the first voltage average may be obtained by the following formula：
Taking the mth cell as an example for illustration, alternatively, the following formula may be used to obtain the second voltage average:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing a second voltage average.
As one of the fault diagnosis strategies, it is important to guarantee the accuracy and robustness of the diagnosis strategy on line in real time. Thus, the battery data is quantitatively updated in real time using a sliding window algorithm. That is, N in the above equation can be understood as the size of the sliding window, that is, the preset time is N times. The sliding window size N essentially determines the accuracy of the subsequent variance algorithm. Increasing the sliding window size N will increase the instability of the variance curve, reducing the accuracy and robustness of battery fault diagnosis. Reducing the size N of the sliding window can adaptively improve the accuracy of the variance value of the abnormal voltage and inhibit the fluctuation range of the variance curve, so that the method has stronger robustness for diagnosing the battery faults. However, when the window size is less than 2, the variance value will be equal to zero equally despite the fault voltage variation. And therefore cannot diagnose any faults in case the sliding window is too small. According to the embodiment of the application, the size of the sliding window can be determined according to an offline experiment, the fault diagnosis effect of a variance algorithm can be optimized, the calculated amount is reduced, and the diagnosis precision and the robustness are improved.
S204, determining a correction coefficient according to the magnitude relation between the first voltage average value and the cell voltage of the battery cell.
The corresponding voltage improvement variance value is always non-negative regardless of how the dispersion of the battery voltage sequence varies. Accordingly, the variance algorithm may detect abnormal faults in the battery module, but neither the conventional variance algorithm nor the first variance can diagnose the fault type of the battery. Therefore, the present application designs a correction coefficient θ of the battery voltage sequence discrete information to accurately diagnose the slight failure type and failure time of the early battery.
In the embodiment of the application, the correction coefficient is determined to be a first preset value in response to the cell voltage of the battery cell being smaller than the first voltage average value. And determining that the correction coefficient is a second preset value in response to the cell voltage of the battery cell being equal to the first voltage average value. And determining that the correction coefficient is a third preset value in response to the cell voltage of the battery cell being greater than the first voltage average value, wherein the third preset value is greater than the first preset value and less than the second preset value, the first preset value is a negative number, and the second preset value is a positive number.
Wherein, the liquid crystal display device comprises a liquid crystal display device,is a correction coefficient, which can be obtained by the following judgment:
that is, at the firstiAt each moment, when the cell voltage of the battery cell is smaller than the first voltage average value, determining a correction coefficientIs-1, when the cell voltage of the battery cell is equal to the firstMean value of the voltages, determining correction factor->1, when the cell voltage of the battery cell is equal to the first voltage average value, determining a correction coefficient +.>Is 0.
S205, determining a first variance according to the first voltage average value, the second voltage average value, and the cell voltage of the mth battery cell.
In practical applications, the battery is very sensitive to disturbances in external environmental changes, there is a serious inconsistency between battery packs (i.e., there are differences in voltage, internal resistance, and capacity between battery packs of the same type and specification), and battery failure occurs randomly. In particular, the variance algorithm is very sensitive to normal fluctuations in the battery voltage sequence, so directly using the battery voltage as an input to the variance algorithm will increase the likelihood of misdiagnosis and reduce the accuracy and stability of the method.
Therefore, it is necessary to preprocess the input data of the variance algorithm, that is, to use the difference between the battery voltage and the average voltage of all the batteries as the output of the variance algorithm, which can significantly impair the possibility that the normal voltage is erroneously diagnosed as an abnormal voltage. The preprocessing program can not only eliminate the influence of voltage inconsistency, but also improve the fault diagnosis precision of a variance algorithm, so that the potential early small fault information in the series battery modules is highlighted.
Alternatively, in the embodiment of the present application, the following formula may be used to determine the first variance of the mth battery cell:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing the first variance>Indicating the number of cells in the battery, +.>Represents the cell voltage of the mth cell, < >>The first voltage average is represented.
S206, obtaining a second variance according to the correction coefficient and the first variance.
After correction, the second variance of the mth cellCan be expressed as:
s207, obtaining the difference value between the second variance of the previous moment and the second variance of the current moment.
When a random abrupt increase in battery voltage results in a real-time voltage greater than the average voltage, a positive correction factor will be generated at the same time, and thus the correction variance will be increasing. Conversely, when a random sudden drop in battery voltage results in a real-time voltage less than the average voltage, a negative correction factor will be generated at the same time, and thus the correction variance will increase negatively. Therefore, the proposed modified variance algorithm can reflect the degree of abnormal dispersion of the battery voltage in real time. The fault type can be distinguished through negative or positive correction variance of the battery voltage sequence, and effective information is provided for solving the safety problem caused by early small faults.
In the embodiment of the application, the first step can be acquirediSecond variance sum of time-1iThe difference of the second variance of the time can also be obtainedNSecond variance sum of time-1NThe difference in the second variance of the time instants.
And S208, determining that the battery pack has a short circuit fault in response to the difference value being greater than a preset first difference value threshold.
In the embodiment of the application, when the random abrupt increase of the battery voltage of the single battery leads to that the real-time voltage is larger than the average voltage, the second variance is also abruptly increased, so that the short circuit fault of the battery pack is determined in response to the difference being larger than the preset first difference threshold.
S209, determining that the open circuit fault exists in the battery pack in response to the difference value being smaller than a preset second difference threshold value.
In the embodiment of the application, when the random sudden drop of the battery voltage of the single battery leads to that the real-time voltage is smaller than the average voltage, the second variance is also suddenly reduced, and therefore, the open circuit fault of the battery pack is determined in response to the difference value being smaller than the preset second difference threshold value.
The embodiment of the application can effectively diagnose the initial micro-faults of the battery, prevent the occurrence of battery safety accidents and improve the robustness of fault detection of the battery pack.
Fig. 3 is a flowchart of a fault detection method of a battery pack according to an embodiment of the present application, as shown in fig. 3, in the embodiment of the present application, a battery voltage of each battery cell in the battery pack is obtained, an overcharge fault of the battery pack is determined in response to the battery voltage of the battery cell being greater than a first battery voltage threshold, otherwise, the determination is continued, and an overdischarge fault of the battery pack is determined in response to the battery voltage of the battery cell being less than a second battery voltage threshold. And traversing each battery cell if the battery pack has no overcharge fault or overdischarge fault, acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell for the m-th battery cell of the current traversal, acquiring a second variance according to the correction coefficient and the first variance, judging that an open circuit fault occurs if the second variance at adjacent time of the battery cell suddenly increases, and judging that a short circuit fault occurs if the second variance at adjacent time of the battery cell suddenly decreases.
The embodiment of the application can effectively diagnose the initial micro-faults of the battery, prevent the occurrence of battery safety accidents and improve the robustness of fault detection of the battery pack.
Fig. 4 is a structural diagram of a fault detection device of a battery pack according to an embodiment of the present disclosure, and as shown in fig. 4, a fault detection device 400 of a battery pack includes:
a first obtaining module 410, configured to obtain a battery voltage of each battery cell in the battery pack at the current moment;
the first determining module 420 is configured to determine, for any battery cell, whether the battery pack has an overcharge failure or an overdischarge failure according to a battery voltage of the battery cell and a preset battery voltage threshold;
a second obtaining module 430, configured to obtain a correction coefficient and a first variance according to a battery voltage of each battery cell in response to the battery pack not having an overcharge failure or an overdischarge failure;
the second determining module 440 is configured to obtain a second variance at the current time according to the correction coefficient and the first variance, and determine whether the battery pack has an open circuit fault or a short circuit fault according to the second variance.
In some embodiments, the second acquisition module 430 is further configured to:
acquiring a first voltage average value according to the battery voltage of each battery cell, and acquiring a second voltage average value according to the battery voltage of the mth battery cell in a preset time;
determining a correction coefficient according to the magnitude relation between the first voltage average value and the cell voltage of the battery cell;
determining a first variance according to the first voltage average value, the second voltage average value and the cell voltage of the mth battery cell;
in some embodiments, the second acquisition module 430 is further configured to:
determining a correction coefficient as a first preset value in response to the cell voltage of the battery cell being less than the first voltage average value;
determining a correction coefficient as a second preset value in response to the cell voltage of the battery cell being equal to the first voltage average value;
and determining that the correction coefficient is a third preset value in response to the cell voltage of the battery cell being greater than the first voltage average value, wherein the third preset value is greater than the first preset value and less than the second preset value, the first preset value is a negative number, and the second preset value is a positive number.
In some embodiments, the second obtaining module 430 is further configured to determine the first variance using the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing the first variance>Indicating the number of cells in the battery, +.>Represents the cell voltage of the mth cell, < >>Represents a first voltage average,/->Representing a second voltage average.
In some embodiments, the second determining module 440 is further configured to:
acquiring a difference value between a second variance of the previous moment and a second variance of the current moment;
determining that a short circuit fault exists in the battery pack in response to the difference value being greater than a preset first difference value threshold;
and determining that the open circuit fault exists in the battery pack in response to the difference being less than a preset second difference threshold.
In some embodiments, the battery voltage threshold includes a first battery voltage threshold and a second battery voltage threshold, the first battery voltage threshold being greater than the second battery voltage threshold, the first determination module 420 further configured to:
determining that an overcharge fault exists in the battery pack in response to the battery voltage of the existing battery cell being greater than a first battery voltage threshold; or (b)
And determining that the battery pack has an overdischarge fault in response to the battery voltage of the battery cell being less than the second battery voltage threshold.
The embodiment of the application can effectively diagnose the initial micro-faults of the battery, prevent the occurrence of battery safety accidents and improve the robustness of fault detection of the battery pack.
Based on the same application conception, the embodiment of the application also provides electronic equipment.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 5, the electronic device 500 includes a memory 501, a processor 502, and a computer program product stored in the memory 501 and executable on the processor 502, and when the processor executes the computer program, the foregoing method for detecting a fault of a battery pack is implemented.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Based on the same application concept, the embodiment of the present application also provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the fault detection method of the battery pack in the above embodiment.
Based on the same application concept, the embodiments of the present application also provide a computer program product, including a computer program, which when executed by a processor, is a method for detecting a fault of a battery pack in the above embodiments.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. A fault detection method of a battery pack, comprising:
acquiring the battery voltage of each battery cell in the battery pack;
for any battery cell, determining whether the battery pack has an overcharge fault or an overdischarge fault according to the battery voltage of the battery cell and a preset battery voltage threshold;
traversing each battery cell in response to the battery pack having no overcharge fault or overdischarge fault, and acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell for an mth battery cell in current traversal, wherein m is a positive integer;
and obtaining a second variance according to the correction coefficient and the first variance, and determining whether the battery pack has an open-circuit fault or a short-circuit fault according to the second variance.
2. The method of claim 1, wherein the obtaining the correction factor and the first variance from the cell voltage of each of the battery cells comprises:
acquiring a first voltage average value according to the battery voltage of each battery cell, and acquiring a second voltage average value according to the battery voltage of the mth battery cell in a preset time;
determining the correction coefficient according to the magnitude relation between the first voltage average value and the single voltage of the single battery;
and determining the first variance according to the first voltage average value, the second voltage average value and the cell voltage of the m-th battery cell.
3. The method of claim 2, wherein said determining said correction factor based on a magnitude relationship of said first voltage average and said second voltage average comprises:
determining that the correction coefficient is a first preset value in response to the cell voltage of the battery cell being less than the first voltage average value;
determining the correction coefficient to be a second preset value in response to the cell voltage of the battery cell being equal to the first voltage average value;
and determining that the correction coefficient is a third preset value in response to the cell voltage of the battery cell being greater than the first voltage average value, wherein the third preset value is greater than the first preset value and less than the second preset value, the first preset value is a negative number, and the second preset value is a positive number.
4. The method of claim 2, wherein the first variance is determined using the formula:
wherein the saidRepresenting the first variance,>representing battery cells in a battery packQuantity of body->Representing the cell voltage of the mth cell, the +.>Representing said first voltage average value, said +.>Representing the second voltage average.
5. The method of any of claims 1-4, wherein the determining whether the battery pack has an open circuit fault or a short circuit fault based on the second variance comprises:
acquiring a difference value between the second variance at the previous moment and the second variance at the current moment;
determining that a short circuit fault exists in the battery pack in response to the difference being greater than a preset first difference threshold;
and determining that the battery pack has an open circuit fault in response to the difference being less than a preset second difference threshold.
6. The method of claim 5, wherein the battery voltage threshold comprises a first battery voltage threshold and a second battery voltage threshold, the first battery voltage threshold being greater than the second battery voltage threshold, the determining whether the battery pack has an overcharge failure or an overdischarge failure based on the battery voltage of the battery cell and a preset battery voltage threshold comprising:
determining that an overcharge fault exists in the battery pack in response to a battery voltage of a present cell being greater than the first battery voltage threshold; or (b)
And determining that the battery pack has an overdischarge fault in response to the battery voltage of the battery cell being less than the second battery voltage threshold.
7. A fault detection device of a battery pack, characterized by comprising:
the first acquisition module is used for acquiring the battery voltage of each battery cell in the battery pack at the current moment;
the first determining module is used for determining whether the battery pack has an overcharge fault or an overdischarge fault according to the battery voltage of any battery cell and a preset battery voltage threshold value;
the second acquisition module is used for acquiring a correction coefficient and a first variance according to the battery voltage of each battery cell in response to the fact that the battery pack does not have an overcharge fault or an overdischarge fault;
and the second determining module is used for acquiring a second variance at the current moment according to the correction coefficient and the first variance and determining whether the battery pack has an open-circuit fault or a short-circuit fault according to the second variance.
8. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the steps of the method according to any one of claims 1-6.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-6.
CN202311104008.8A 2023-08-30 2023-08-30 Method and device for detecting faults of battery pack Pending CN116840731A (en)

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