CN113805080B - Method for judging battery cell abnormity of battery pack - Google Patents

Method for judging battery cell abnormity of battery pack Download PDF

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CN113805080B
CN113805080B CN202111078145.XA CN202111078145A CN113805080B CN 113805080 B CN113805080 B CN 113805080B CN 202111078145 A CN202111078145 A CN 202111078145A CN 113805080 B CN113805080 B CN 113805080B
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battery
voltage
battery pack
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cell
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CN113805080A (en
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沈永柏
王翰超
王云
姜明军
孙艳
刘欢
江梓贤
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Ligao Shandong New Energy Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • 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]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • G01R31/387—Determining ampere-hour charge capacity or SoC

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Abstract

The invention relates to a method for judging battery cell abnormity of a battery pack, which comprises the following steps: s1, charging a battery pack until the battery pack is fully charged, and recording voltage data V of each battery cell and the charged electric quantity Q of the battery pack in the charging process; s2, calculating each section of battery cell
Figure DDA0003263016810000017
Value and establish
Figure DDA0003263016810000016
Corresponding relation with V according to each power core
Figure DDA0003263016810000018
Maximum value of
Figure DDA0003263016810000011
Corresponding to the obtained voltage
Figure DDA0003263016810000012
S3, calculating all battery cells
Figure DDA0003263016810000013
Median V of med Is then based on V med Calculating to obtain a converted median absolute deviation CMAD; s4, carrying out cell separation on each section
Figure DDA0003263016810000014
And K times CMAD and voltage threshold V 0 The greater of the values of (a) and (b) is compared,
Figure DDA0003263016810000015
the larger battery cell is an abnormal battery cell, otherwise, the larger battery cell is a normal battery cell. The invention converts the charging voltage curve which is difficult to compare into an intuitive curve by a differential method, and quantizes the difference between the charging curves of different battery cores by a method of calculating and converting median absolute deviation, thereby facilitating the automatic judgment of a computer.

Description

Method for judging battery cell abnormity of battery pack
Technical Field
The invention belongs to the field of power batteries of electric vehicles, and particularly relates to a method for judging battery core abnormity of a battery pack.
Background
The power battery is used as a core component of the new energy automobile and is directly related to safe and stable running of the automobile. Due to the fact that the battery manufacturing process cannot meet ideal requirements, the temperature distribution of the battery pack is not uniform, and the like, different battery core states on the same vehicle cannot be completely consistent. If can not appear in time discerning after unusual at electric core, along with the use of vehicle, the electric core problem of group battery can be more and more serious, causes the car of lying prone, battery weeping scheduling problem even, endangers driving safety.
For the cells with the abnormal states, some characteristic curves of the cells in the charging stage are obviously different from those of the normal cells, and the abnormal cells in the battery pack are found by utilizing the characteristic.
Disclosure of Invention
The invention aims to solve the problem of consistency of battery packs and ensure safe and stable running of new energy vehicles, and provides a method for judging battery core abnormity of a battery pack.
The invention achieves the above purpose through the following technical scheme:
a method for judging battery cell abnormity of a battery pack comprises the following steps:
s1, charging a battery pack until the battery pack is fully charged, and recording voltage data V of each battery cell i of the battery pack and the charged electric quantity Q of the battery pack in the charging process;
s2, based on V andq calculating each cell i
Figure BDA0003263016790000021
Value and establish
Figure BDA0003263016790000022
Corresponding relation with V, and then according to each power saving core
Figure BDA0003263016790000023
Maximum value of
Figure BDA0003263016790000024
Corresponding to the obtained voltage
Figure BDA0003263016790000025
S3, calculating all battery cells
Figure BDA0003263016790000026
Median V of med Is then based on V med Calculating to obtain a converted median absolute deviation CMAD;
s4, dividing each battery cell i
Figure BDA0003263016790000027
And K times CMAD and voltage threshold V 0 The greater of the values of (a) and (b) is compared,
Figure BDA0003263016790000028
the bigger electric core is unusual electric core, otherwise is normal electric core.
As a further optimization scheme of the present invention, in step S1, the battery pack is charged with a constant current.
As a further optimization scheme of the invention, in step S2, the calculation of each battery cell i is carried out based on V and Q
Figure BDA0003263016790000029
Value and establish
Figure BDA00032630167900000210
The method of the corresponding relation with V is as follows:
s21, calculating voltage interval
Figure BDA00032630167900000211
Wherein V max Is the maximum voltage, V, occurring during the entire charging process min Is the minimum voltage value in the whole charging process, M is the number of interval parts, all the voltage data V of each cell i obtained in the step S1 in the charging process are divided into M interval voltage data sets, and the interval nodes are respectively V min 、V min +ΔV、V min +2ΔV、……、V max -ΔV、V max ；
S22, calculating the electric quantity charged by each section of battery cell i at each interval
Figure BDA00032630167900000212
Then calculate out
Figure BDA00032630167900000213
Namely, it is
Figure BDA00032630167900000214
Corresponding to a voltage V of V min + (n-0.5) x Δ V, wherein m is the interval number;
s23, taking the voltage V as an abscissa, and
Figure BDA00032630167900000215
for the ordinate, establish
Figure BDA00032630167900000216
Versus voltage V.
As a further optimized scheme of the present invention, in step S22, the amount of electricity charged into each cell i at each interval
Figure BDA00032630167900000217
The calculation method comprises the following steps: acquiring the electric quantity Q corresponding to each two end nodes at intervals, wherein the difference of the electric quantities Q of the two end nodes is the difference
Figure BDA00032630167900000218
As a further optimization scheme of the present invention, in step S3, all the battery cells are used
Figure BDA0003263016790000031
Median V of med The calculation of the median absolute deviation CMAD in conversion is performed as N scalar observations that make up the random variable vector a:
s31, calculating the median absolute deviation MAD of A:
MAD = mean (Ai-mean (a)), where i =1,2,.., N;
s32, calculating the absolute deviation CMAD of the converted median:
CMAD＝c*MAD
wherein
Figure BDA0003263016790000032
erfcinv is an inverse complement error function.
The invention has the beneficial effects that:
1) According to the invention, charging voltage curves which are difficult to compare are converted into visual curves by a differentiation method, and differences among charging curves of different battery cores are quantized by a method of calculating and converting median absolute deviation, so that automatic judgment by a computer is facilitated;
2) The judgment method is simple to implement, high in result accuracy and easy to popularize.
Drawings
FIG. 1 is a flow chart of the implementation of the present invention.
Fig. 2 is a graph of the charging voltage of the battery cells of the present invention.
Fig. 3 is a view of a battery cell of the invention
Figure BDA0003263016790000033
And V.
Detailed Description
The present application will now be described in further detail with reference to the drawings, and it should be noted that the following detailed description is given for purposes of illustration only and should not be construed as limiting the scope of the present application, as these numerous insubstantial modifications and variations can be made by those skilled in the art based on the teachings of the present application.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention; in the description of the present invention, the meaning of "a plurality" or "a plurality" is two or more unless otherwise specified.
Example 1
As shown in fig. 1 to 3, a method for determining battery cell abnormality includes the following steps:
s1, charging a battery pack to full charge by using constant current, acquiring voltage data V of each battery cell i in the charging process, and simultaneously recording the charged electric quantity Q of the battery pack;
s2, calculating each cell i based on V and Q
Figure BDA0003263016790000041
Value and establish
Figure BDA0003263016790000042
A correspondence with V; the specific method comprises the following steps:
s21, calculating voltage interval
Figure BDA0003263016790000043
Wherein V max Is the maximum voltage, V, occurring during the entire charging process min Is the minimum voltage value occurring in the whole charging process, M is the number of interval parts, and all the voltage data V of each section of the battery cell i obtained in the step S1 in the charging process are divided into M interval voltage data setsThe interval nodes are respectively V min 、V min +ΔV、V min +2ΔV、……、V max -ΔV、V max ；
S22, calculating the electric quantity charged by each section of battery cell i at each interval
Figure BDA0003263016790000044
Then calculate out
Figure BDA0003263016790000045
Namely, it is
Figure BDA0003263016790000046
Corresponding to a voltage V of V min + (n-0.5) x Δ V, wherein m is the interval number;
the electric quantity charged by each section of battery cell i at each interval
Figure BDA0003263016790000047
The calculation method comprises the following steps: acquiring the electric quantity Q corresponding to each two end nodes at intervals, wherein the difference of the electric quantities Q of the two end nodes is the difference
Figure BDA0003263016790000051
S23, taking the voltage V as an abscissa, and
Figure BDA0003263016790000052
for the ordinate, establish
Figure BDA0003263016790000053
Voltage V;
s3, finding out each power saving core
Figure BDA0003263016790000054
Maximum value of
Figure BDA0003263016790000055
And recording the voltage at which the maximum occurs
Figure BDA0003263016790000056
S4, calculating all battery cells
Figure BDA0003263016790000057
Median V of med Is then based on V med Calculating to obtain a conversion median absolute deviation CMAD; the specific method comprises the following steps:
s41, calculating the median absolute deviation MAD of A:
MAD = mean (Ai-mean (a)), where i =1,2,.., N;
s42, calculating the absolute deviation CMAD of the converted median:
CMAD＝c*MAD
wherein
Figure BDA0003263016790000058
erfcinv is an inverse complement error function;
s5, deltaV of each battery cell i i And K times CMAD and voltage threshold V 0 The larger of the values of (a) to (b) is compared,
Figure BDA0003263016790000059
if deltaV i Greater than K times CMAD and voltage threshold V 0 If the value is larger, the corresponding battery cell is considered to be abnormal; otherwise, the battery cell is considered to be not abnormal.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention.

Claims (4)

1. A method for judging battery cell abnormity of a battery pack is characterized by comprising the following steps:
s1, charging a battery pack until the battery pack is fully charged, and recording voltage data V of each battery cell i of the battery pack and the charged electric quantity Q of the battery pack in the charging process;
s2, based on V andq calculating each cell i
Figure FDA0003777473460000011
Value and establish
Figure FDA0003777473460000012
Corresponding relation with V, and then according to each power saving core
Figure FDA0003777473460000013
Maximum value of
Figure FDA0003777473460000014
Corresponding to the obtained voltage
Figure FDA0003777473460000015
S3, calculating all battery cells
Figure FDA0003777473460000016
Median V of med With all the cells
Figure FDA0003777473460000017
Median V of med The calculation of the median absolute deviation CMAD in conversion is performed as N scalar observations that make up the random variable vector a:
s31, calculating the median absolute deviation MAD of A:
MAD = mean (| Ai-mean (a) |), wherein i =1,2, ·, N;
s32, calculating the absolute deviation CMAD of the converted median:
CMAD＝c*MAD
wherein
Figure FDA0003777473460000018
erfcinv is an inverse complement error function;
s4, dividing each battery cell i
Figure FDA0003777473460000019
And K times CMAD and voltage threshold V 0 The greater of the values of (a) and (b) is compared,
Figure FDA00037774734600000110
the bigger electric core is unusual electric core, otherwise is normal electric core.
2. The method for judging the battery pack battery cell abnormality according to claim 1, characterized in that: in step S1, the battery pack is charged with a constant current.
3. The method for determining the abnormality of the battery cells according to claim 1, wherein: in step S2, each cell i is calculated based on V and Q
Figure FDA00037774734600000111
Value and establish
Figure FDA00037774734600000112
The method of the corresponding relation with V is as follows:
s21, calculating voltage interval
Figure FDA00037774734600000113
Wherein V max Is the maximum voltage, V, occurring during the entire charging process min Is the minimum voltage value in the whole charging process, M is the number of interval parts, all the voltage data V of each cell i obtained in the step S1 in the charging process are divided into M interval voltage data sets, and the interval nodes are respectively V min 、V min +ΔV、V min +2ΔV、……、V max -ΔV、V max ；
S22, calculating the electric quantity charged by each section of battery cell i at each interval
Figure FDA0003777473460000028
Then calculate out
Figure FDA0003777473460000021
Namely that
Figure FDA0003777473460000022
Figure FDA0003777473460000023
Corresponding to a voltage V of V min + (n-0.5) x Δ V, wherein m is the interval number;
s23, taking the voltage V as an abscissa, and
Figure FDA0003777473460000024
for the ordinate, establish
Figure FDA0003777473460000025
Curve with voltage V.
4. The method for judging the battery pack cell abnormality according to claim 3, characterized in that: in step S22, the electric quantity charged by each cell i at each interval
Figure FDA0003777473460000026
The calculation method comprises the following steps: acquiring the electric quantity Q corresponding to each two end nodes at intervals, wherein the difference of the electric quantities Q of the two end nodes is the difference
Figure FDA0003777473460000027
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CN101291079A (en) * 2007-04-18 2008-10-22 李仕清 Adaptive battery charging circuit
CN104409779A (en) * 2014-11-20 2015-03-11 合肥国轩高科动力能源股份公司 Pack matching method of lithium ion battery modules
CN104569844A (en) * 2014-12-31 2015-04-29 浙江大学宁波理工学院 Valve control seal type lead-acid storage battery health condition monitoring method
CN111448468A (en) * 2017-08-18 2020-07-24 罗伯特·博世有限公司 Method, device and system for detecting consistency of battery pack
CN112305435A (en) * 2020-10-13 2021-02-02 华帝股份有限公司 Battery electric quantity detection method and system
WO2021169486A1 (en) * 2020-02-24 2021-09-02 上海蔚来汽车有限公司 Method, system and apparatus for monitoring battery impedance abnormality on basis of charging process

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101291079A (en) * 2007-04-18 2008-10-22 李仕清 Adaptive battery charging circuit
CN104409779A (en) * 2014-11-20 2015-03-11 合肥国轩高科动力能源股份公司 Pack matching method of lithium ion battery modules
CN104569844A (en) * 2014-12-31 2015-04-29 浙江大学宁波理工学院 Valve control seal type lead-acid storage battery health condition monitoring method
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WO2021169486A1 (en) * 2020-02-24 2021-09-02 上海蔚来汽车有限公司 Method, system and apparatus for monitoring battery impedance abnormality on basis of charging process
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