CN115270067A - Lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis - Google Patents

Lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis Download PDF

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CN115270067A
CN115270067A CN202210939488.9A CN202210939488A CN115270067A CN 115270067 A CN115270067 A CN 115270067A CN 202210939488 A CN202210939488 A CN 202210939488A CN 115270067 A CN115270067 A CN 115270067A
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lithium battery
battery pack
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single lithium
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张朝龙
赵筛筛
杨忠
熊雄
张颖超
杜博伦
何怡刚
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Jinling Institute of Technology
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Abstract

The invention provides a lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis, which comprises the steps of numbering single lithium batteries in a lithium battery pack, and acquiring a terminal voltage data sequence of the single lithium batteries in a charging stage of the lithium battery pack; calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack, and constructing a Manhattan matrix of the single lithium batteries in the lithium battery pack; based on a Manhattan matrix of single lithium batteries in the lithium battery pack, a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack are determined and early-warning is carried out in a grading manner; and judging the fault type of the single lithium battery with the fault by using a voltage difference analysis method. The lithium battery pack fault diagnosis method combining the Manhattan distance and voltage difference analysis method provided by the invention has the advantages of simplicity in operation, high accuracy, low calculation cost and strong generalization capability.

Description

Lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis
Technical Field
The invention relates to the technical field of batteries, in particular to a lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis.
Background
The lithium battery pack is used as energy supply of a new energy automobile technology, and efficient, long-term and stable operation of the lithium battery pack is important for the new energy automobile. However, in recent years, with the popularization of new energy vehicles, a large number of safety accidents of the new energy vehicles caused by the faults of the lithium battery pack occur. The faults of the lithium battery pack are often the result of multi-fault accumulation, so that the fault diagnosis and early warning of the lithium battery pack are of great importance.
Common lithium battery packs include capacity failures, state of charge failures, internal resistance failures, bond failures, and external short circuit failures, among others. Due to different driving habits, the discharge working conditions of the new energy automobile have larger differences. However, the charging conditions of the new energy automobile are often unified. Therefore, the method has more practical significance for diagnosing and early warning the possible faults of the lithium battery pack based on the collected data of the charging phase of the lithium battery pack. The Manhattan distance is a measurement representation of the geometric distance, and indicates the sum of absolute wheel base of two points on a standard coordinate system. Therefore, the manhattan distance can reflect the distance change between the voltage change data sequences in the charging stage of the single lithium batteries in the lithium battery pack more sensitively. The voltage difference analysis rule is used for more accurately judging the fault type of the lithium battery pack by comparing the voltage data of the fault single lithium battery in the lithium battery pack with the voltage data of the normal single lithium battery. Therefore, based on the voltage data of the single lithium batteries in the battery pack charging stage, the manhattan distance and voltage difference analysis method is used for diagnosing and early warning the faults of the lithium battery pack, and the method has the advantages of high accuracy, low calculation cost, strong generalization capability and the like.
Disclosure of Invention
The invention aims to provide a more accurate fault diagnosis method for a lithium battery pack. Based on the above, the invention provides a lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis, which can effectively diagnose and early warn lithium battery pack faults.
In order to achieve the purpose, the invention provides the following technical scheme:
a lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis comprises the following steps:
s1, numbering single lithium batteries in a lithium battery pack, and acquiring a terminal voltage data sequence of the single lithium batteries in the lithium battery pack in a charging stage;
s2, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack, and constructing a Manhattan matrix of the single lithium batteries in the lithium battery pack;
s3, based on a Manhattan matrix of single lithium batteries in the lithium battery pack, defining a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack and carrying out grading early warning;
and S4, judging the fault type of the single lithium battery with the fault by using a voltage difference analysis method.
In the step S1, the obtained terminal voltage data sequence of the single lithium battery in the lithium battery pack at the charging stage is
Figure BDA0003784938910000021
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003784938910000022
terminal voltage change data sequence V of m section of single lithium battery in lithium battery pack in charging stage n,m The method comprises the steps of sampling voltage for the nth of the mth section of single lithium battery in a charging stage, wherein n is the total number of terminal voltage samples in the charging stage of the single lithium battery, and m is the total number of the single lithium batteries in a lithium battery pack.
Further, the method for constructing the manhattan matrix of the single lithium batteries in the lithium battery pack in the step S2 includes:
(1) Based on the obtained terminal voltage data sequence of the charging stage of the single lithium batteries in the lithium battery pack group, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack group in a calculation mode: d i,j ＝|V 1,i -V 1,j |+|V 2,i -V 2,j |+L+|V n,i -V n,j L where d i,j The Manhattan distance between a single lithium battery i and a single lithium battery j in the lithium battery pack is shown, wherein i =1,2, …, m, j =1,2, …, m;
(2) Through a maximum and minimum normalization method, a single lithium battery Manhattan matrix in the lithium battery pack is built:
Figure BDA0003784938910000023
wherein, d' i,j The normalized value of the Manhattan distance between the single lithium battery i and the single lithium battery j in the lithium battery pack group is obtained by a specific calculation mode of a maximum value and minimum value normalization method:
Figure BDA0003784938910000024
wherein d is max ＝max{d 1,1 ,d 1,2 ,K,d i,j }，d min ＝min{d 1,1 ,d 1,2 ,K,d i,j }。
Furthermore, the method for judging the normal single lithium battery set and the fault single lithium battery set in the lithium battery pack group and performing grading early warning in the step S3 comprises the following steps:
manhattan matrix based on single lithium batteries in lithium battery pack
Figure BDA0003784938910000025
And judging a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack and carrying out grading early warning.
Wherein preferably, the basis for judging the normal single lithium battery set and the fault single lithium battery set in the lithium battery pack group is as follows:
(1) The normalized Manhattan distance value of any two single lithium batteries in the normal single lithium battery set belongs to the range of (0,0.15);
(2)
Figure BDA0003784938910000031
except the single lithium batteries in the normal single lithium battery set, the other single lithium batteries in the lithium battery pack are judged as fault batteries;
fault single lithium battery k in lithium battery pack r The grading fault early warning standard is as follows:
(a) Primary early warning: exist of
Figure BDA0003784938910000032
(b) Secondary early warning: exist of
Figure BDA0003784938910000033
(c) And (3) third-level early warning: exist of
Figure BDA0003784938910000034
Wherein h is t Numbering normal single lithium batteries in the lithium battery pack, wherein t =1,2,L,p; k is a radical of r Numbering failed single lithium batteries in the lithium battery pack, wherein r =1,2,L, q and q are the total number of the failed single lithium batteries in the lithium battery pack;
the priority of the lithium battery pack grading fault early warning is as follows: third-level early warning > second-level early warning > first-level early warning.
In step S4, determining the fault type of the faulty single lithium battery by using a voltage difference analysis method includes:
(1) Calculating an average voltage data sequence of normal single lithium batteries and a voltage residual error data sequence of a fault single lithium battery in the lithium battery pack;
(2) And analyzing the voltage residual error data sequence characteristics of the single lithium battery with the fault, and judging the fault type of the single lithium battery with the fault according to the change trend of the residual error voltage data of the single lithium battery with the fault.
Further, average terminal voltage data sequence of normal single lithium batteries in the lithium battery pack in charging stageComprises the following steps:
Figure BDA0003784938910000035
wherein c =1,2, L, n,
Figure BDA0003784938910000036
the voltage residual data sequence of the single lithium battery with the fault is as follows:
Figure BDA0003784938910000041
furthermore, the fault type of the single lithium battery with the fault is judged according to the change trend of the residual voltage data of the single lithium battery with the fault, wherein the judgment is based on the following steps:
1) The residual voltage data change trend of the single lithium battery with the fault is in the range of [0,0.5 ], and the single lithium battery with the fault is judged to have an early internal resistance fault;
2) The starting point and the end point of residual voltage data of the single lithium battery with the fault are in the range of [ -0.5,0), and the single lithium battery with the fault is judged to be a fault with a low state of charge;
3) The residual voltage data change trend of the single lithium battery with the fault is overall irregular, and voltage change data in a partial range of [0.5,1.5] exist, and the single lithium battery with the fault is judged to be a capacity fault;
4) The instantaneous rising amplitude of residual voltage data of the failed single lithium battery at the initial stage is larger than 0.5, and the connection key is judged to be failed;
5) And the residual voltage data of the single lithium battery with the fault is less than 0, the variation trend is rapidly reduced, and the single lithium battery with the fault is judged to be an external short circuit fault.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the manhattan distance between every two single lithium batteries in the lithium battery pack is calculated based on the voltage data sequence of the single lithium batteries in the charging stage in the lithium battery pack, whether the lithium battery pack has a fault or not is further judged, a grading early warning strategy is formulated, the voltage difference analysis method is used for comparing and analyzing the voltage data of the fault single lithium batteries in the lithium battery pack with the voltage data of the normal single lithium batteries, and the fault type of the lithium battery pack is judged.
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FIG. 1 is a schematic flow chart of a lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis according to the present invention;
fig. 2 is a diagram showing a residual voltage data sequence of a faulty single lithium battery according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Fig. 1 shows a lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis according to an embodiment of the present invention, where the method shown in fig. 1 includes the following steps:
s1, numbering single lithium batteries in a lithium battery pack, and acquiring a terminal voltage data sequence of the single lithium batteries in the lithium battery pack in a charging stage;
s2, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack, and constructing a Manhattan matrix of the single lithium batteries in the lithium battery pack;
s3, based on a Manhattan matrix of single lithium batteries in the lithium battery pack, defining a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack and carrying out grading early warning;
and S4, judging the fault type of the single lithium battery with the fault by using a voltage difference analysis method.
In a more specific exemplary embodiment, the steps of the method of the present invention are more specific:
s1, numbering single lithium batteries in a lithium battery pack, and acquiring a terminal voltage data sequence of the single lithium batteries in the lithium battery pack in a charging stage.
In the embodiment of the present invention, in step S1, a specific form of a terminal voltage data sequence in a charging stage of a single lithium battery in a lithium battery pack is as follows:
Figure BDA0003784938910000051
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003784938910000052
terminal voltage change data sequence V of m section of single lithium battery in lithium battery pack in charging stage n,m The method comprises the steps of sampling voltage for the nth of the mth section of single lithium battery in a charging stage, wherein n is the total number of terminal voltage samples in the charging stage of the single lithium battery, and m is the total number of the single lithium batteries in a lithium battery pack.
S2, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack group, and constructing a Manhattan matrix of the single lithium batteries in the lithium battery pack group.
In the embodiment of the present invention, in step S2, the manhattan matrix construction method for the single lithium batteries in the lithium battery pack includes:
(1) Terminal voltage data sequence based on charging stage of single lithium battery in lithium battery pack
Figure BDA0003784938910000061
Calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack group in a calculation mode that: d i,j ＝|V 1,i -V 1,j |+|V 2,i -V 2,j |+L+|V n,i -V n,j L, wherein,
Figure BDA0003784938910000062
terminal voltage change data sequence V of m section of single lithium battery in lithium battery pack in charging stage n,m The nth sampling voltage of the mth section of single lithium battery in the charging stage, n is the total number of terminal voltage samples in the charging stage of the single lithium battery, m is the total number of single lithium batteries in the lithium battery pack, d i,j The Manhattan distance between a single lithium battery i and a single lithium battery j in the lithium battery pack is represented by i =1,2, …, m, j =1,2, …, m;
(2) Through a maximum and minimum normalization method, a single lithium battery Manhattan matrix in the lithium battery pack is built:
Figure BDA0003784938910000063
wherein, d' i,j The normalized value of the Manhattan distance between the single lithium battery i and the single lithium battery j in the lithium battery pack group is obtained by a specific calculation mode of a maximum value and minimum value normalization method:
Figure BDA0003784938910000064
wherein d is max ＝max{d 1,1 ,d 1,2 ,K,d i,j }，d min ＝min{d 1,1 ,d 1,2 ,K,d i,j }。
And S3, based on the Manhattan matrix of the single lithium batteries in the lithium battery pack, determining a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack and performing grading early warning.
In the embodiment of the present invention, in step S3, the method for determining the normal single lithium battery set and the faulty single lithium battery set in the lithium battery pack and performing the early warning in a grading manner includes:
manhattan matrix based on single lithium batteries in lithium battery pack
Figure BDA0003784938910000065
Judge normal monomer lithium battery set and trouble monomer lithium battery set in the lithium cell group, the judgement basis of normal monomer lithium battery set is in the lithium cell group:
(1) The normalized Manhattan distance value of any two single lithium batteries in the normal single lithium battery set belongs to the range of (0,0.15);
(2)
Figure BDA0003784938910000066
except the single lithium batteries in the normal single lithium battery set, the other single lithium batteries in the lithium battery pack are judged as fault batteries;
fault single lithium battery k in lithium battery pack r The grading fault early warning standard is as follows:
(a) Primary early warning: exist of
Figure BDA0003784938910000071
(b) Secondary early warning: exist of
Figure BDA0003784938910000072
(c) And (3) third-level early warning: exist of
Figure BDA0003784938910000073
Wherein h is t Numbering normal single lithium batteries in the lithium battery pack, wherein t =1,2,L,p; k is a radical of r Numbering failed single lithium batteries in the lithium battery pack, wherein r =1,2, L, q is the total number of the failed single lithium batteries in the lithium battery pack;
the priority of the lithium battery pack grading fault early warning is as follows: third-level early warning > second-level early warning > first-level early warning.
And S4, judging the fault type of the single lithium battery with the fault by using a voltage difference analysis method.
In the embodiment of the present invention, in step S4, the specific step of judging the fault type of the faulty single lithium battery by the voltage difference analysis method is:
(1) Calculating an average voltage data sequence of normal single lithium batteries and a residual voltage data sequence of a fault single lithium battery in the lithium battery pack:
the average terminal voltage data sequence of the normal single lithium battery in the lithium battery pack in the charging stage is as follows:
Figure BDA0003784938910000074
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003784938910000075
the voltage residual error data sequence of the single lithium battery with the fault is as follows:
Figure BDA0003784938910000076
(2) Analyzing the voltage residual error data sequence characteristics of the single lithium battery with the fault, and judging the fault type of the single lithium battery with the fault according to the change trend of the residual error voltage data of the single lithium battery with the fault, wherein the judgment is as follows:
1) The residual voltage data change trend of the single lithium battery with the fault is in the range of [0,0.5 ], and the single lithium battery with the fault is judged to have an early internal resistance fault;
2) The starting point and the end point of residual voltage data of the single lithium battery with the fault are in the range of [ -0.5,0), and the single lithium battery with the fault is judged to be a fault with a low state of charge;
3) The residual voltage data change trend of the single lithium battery with the fault is overall irregular, and voltage change data in a partial range of [0.5,1.5] exist, and the single lithium battery with the fault is judged to be a capacity fault;
4) The instantaneous rising amplitude of residual voltage data of the failed single lithium battery at the initial stage is larger than 0.5, and the connection key is judged to be failed;
5) And the residual voltage data of the single lithium battery with the fault is less than 0, the variation trend is rapidly reduced, and the single lithium battery with the fault is judged to be an external short circuit fault.
The process and estimation performance of the lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis according to the present invention are illustrated as an example.
Eight single lithium batteries with rated capacity of 2.4Ah of a certain brand are connected in series to form a group, and internal resistance fault batteries and fault batteries with low charge state are implanted in advance. And carrying out a charge and discharge experiment on the lithium battery pack after the battery with low capacity, the battery with connection key faults and the battery with external short circuit faults. Based on the voltage data of the single lithium battery in the lithium battery pack charging stage measured in the laboratory, the lithium battery pack is subjected to fault diagnosis and early warning experiments, and the method comprises the following specific operation steps:
(1) And respectively numbering the single lithium batteries in the lithium battery pack group into B1-B8, and counting the terminal voltage data sequence of the single lithium batteries in the lithium battery pack group at the charging stage.
(2) Based on the terminal voltage data sequence of the charging stage of the single lithium batteries in the lithium battery pack group, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack group, and constructing a Manhattan matrix of the single lithium batteries in the lithium battery pack group by using a maximum and minimum normalization method:
Figure BDA0003784938910000081
(3) The manhattan matrix of the single lithium batteries in the lithium battery pack is statistically analyzed, and the normal single lithium batteries in the lithium battery pack are definitely set as follows: b3 B4 and B8, the set of faulty single lithium batteries is: b1 B2, B5, B6 and B7. The fault early warning is judged according to the grading fault early warning standard of the lithium battery pack as follows: b1: primary early warning; b2: primary early warning; b5: secondary early warning; b6: secondary early warning; b7: and (5) tertiary early warning.
(4) And judging the fault type of the lithium battery pack by using a voltage difference analysis method: and calculating a normal single lithium battery data sequence in the lithium battery pack, and further calculating a fault single lithium battery voltage residual error data sequence. Fig. 2 is a diagram showing a voltage residual error data sequence of a failed single lithium battery. According to the voltage residual error data of the single lithium battery with the fault in fig. 2, it can be judged that: b1, a low charge state fault; b2 is internal resistance failure; b5 is a connection key failure; b6 is an external short circuit fault; b7 is capacity failure.
The lithium battery pack fault diagnosis method provided by the invention has the advantages of simplicity in operation, high accuracy, low calculation cost, strong generalization capability and the like.
Compared with other inventions, the scheme provided by the invention is different in that:
1. the research object of the invention is a lithium battery pack;
2. the method utilizes the voltage data of the single lithium battery in the lithium battery pack in the charging stage to carry out multi-fault diagnosis and early warning work on the lithium battery pack;
3. the specific research method of the invention is as follows: firstly, calculating the Manhattan distance between every two single lithium batteries in a lithium battery pack group, judging whether the lithium battery pack has a fault, secondly, formulating a grading early warning strategy based on the Manhattan distance between every two single lithium batteries in the lithium battery pack group, and finally, judging the fault type of the lithium battery pack according to the voltage data characteristics of the charging stage of the faulty single lithium battery in the lithium battery pack group;
4. the method is based on a voltage difference analysis method, and is used for analyzing the change trend of residual voltage data of the failed single lithium battery and judging the failure type of the failed single lithium battery.
The invention is not described in detail, but is well known to those skilled in the art.
Finally, it is to be noted that: although the present invention has been described in detail with reference to examples, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (8)

1. A lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis is characterized by comprising the following steps:
s1, numbering single lithium batteries in a lithium battery pack, and acquiring a terminal voltage data sequence of the single lithium batteries in the lithium battery pack in a charging stage;
s2, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack, and constructing a Manhattan matrix of the single lithium batteries in the lithium battery pack;
s3, based on a Manhattan matrix of single lithium batteries in the lithium battery pack, defining a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack and carrying out grading early warning;
and S4, judging the fault type of the single lithium battery with the fault by using a voltage difference analysis method.
2. The lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis according to claim 1, wherein the terminal voltage data sequence obtained in the step S1 in the charging stage of the single lithium battery in the lithium battery pack is terminal voltage data sequence obtained in the step S1
Figure FDA0003784938900000011
Wherein the content of the first and second substances,
Figure FDA0003784938900000012
terminal voltage change data sequence V of m section of single lithium battery in lithium battery pack in charging stage n,m The method comprises the steps of sampling voltage for the nth of the mth section of single lithium battery in a charging stage, wherein n is the total number of terminal voltage samples in the charging stage of the single lithium battery, and m is the total number of the single lithium batteries in a lithium battery pack.
3. The lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis according to claim 2, wherein the method for constructing the manhattan matrix of the single lithium batteries in the lithium battery pack in the step S2 comprises the following steps:
(1) Based on the obtained terminal voltage data sequence of the charging stage of the single lithium batteries in the lithium battery pack group, calculating the Manhattan distance between every two single lithium batteries in the lithium battery pack group in a calculation mode: d i,j ＝|V 1,i -V 1,j |+|V 2,i -V 2,j |+L+|V n,i -V n,j L where d i,j The Manhattan distance between a single lithium battery i and a single lithium battery j in the lithium battery pack is shown, wherein i =1,2, …, m, j =1,2, …, m;
(2) Through a maximum and minimum normalization method, a single lithium battery Manhattan matrix in the lithium battery pack is built:
Figure FDA0003784938900000013
wherein d is i ' ,j Is a single lithium battery i and a single lithium battery j in the lithium battery packThe specific calculation mode of the maximum and minimum normalization method is as follows:
Figure FDA0003784938900000014
wherein, d max ＝max{d 1,1 ,d 1,2 ,K,d i,j }，d min ＝min{d 1,1 ,d 1,2 ,K,d i,j }。
4. The lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis according to claim 3, wherein the step S3 of judging the normal single lithium battery set and the fault single lithium battery set in the lithium battery pack and performing grading early warning comprises the following steps:
manhattan matrix based on single lithium batteries in lithium battery pack
Figure FDA0003784938900000021
And judging a normal single lithium battery set and a fault single lithium battery set in the lithium battery pack and carrying out grading early warning.
5. The lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis as claimed in claim 4, wherein the judgment criteria for judging the normal single lithium battery pack and the fault single lithium battery pack in the lithium battery pack are as follows:
(1) The normalized Manhattan distance value of any two single lithium batteries in the normal single lithium battery set belongs to the range of (0,0.15);
(2) The total number of the single lithium batteries in the normal single lithium battery set
Figure FDA0003784938900000022
Except the single lithium batteries in the normal single lithium battery set, the other single lithium batteries in the lithium battery pack are judged as fault batteries;
fault single lithium battery k in lithium battery pack r The grading fault early warning standard is as follows:
(a) Primary early warning: exist of
Figure FDA0003784938900000023
(b) Secondary early warning: exist of
Figure FDA0003784938900000024
(c) And (3) third-level early warning: exist of
Figure FDA0003784938900000025
Wherein h is t Numbering normal single lithium batteries in the lithium battery pack, wherein t =1,2, L, p and p are the total number of the normal single lithium batteries in the lithium battery pack; k is a radical of r Numbering failed single lithium batteries in the lithium battery pack, wherein r =1,2, L, q is the total number of the failed single lithium batteries in the lithium battery pack;
the priority of the lithium battery pack grading fault early warning is as follows: third-level early warning > second-level early warning > first-level early warning.
6. The lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis of claim 1, wherein the step S4 of judging the fault type of the single lithium battery by using the voltage difference analysis method comprises the following steps:
(1) Calculating an average voltage data sequence of normal single lithium batteries and a voltage residual data sequence of a fault single lithium battery in the lithium battery pack;
(2) And analyzing the voltage residual error data sequence characteristics of the single lithium battery with the fault, and judging the fault type of the single lithium battery with the fault according to the change trend of the residual error voltage data of the single lithium battery with the fault.
7. The lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis of claim 6,
the average terminal voltage data sequence of the normal single lithium battery in the lithium battery pack in the charging stage is as follows:
Figure FDA0003784938900000031
wherein c =1,2, L, n,
Figure FDA0003784938900000032
the voltage residual data sequence of the single lithium battery with the fault is as follows:
Figure FDA0003784938900000033
8. the lithium battery pack fault diagnosis method based on manhattan distance and voltage difference analysis as claimed in claim 7, wherein the fault type of the faulty single lithium battery is determined according to the change trend of residual voltage data of the faulty single lithium battery, wherein the determination is based on the following:
1) The residual voltage data change trend of the single lithium battery with the fault is in the range of [0,0.5 ], and the single lithium battery with the fault is judged to have an early internal resistance fault;
2) The starting point and the end point of residual voltage data of the single lithium battery with the fault are in the range of [ -0.5,0), and the single lithium battery with the fault is judged to be a fault with a low state of charge;
3) The residual voltage data change trend of the single lithium battery with the fault is overall irregular, and voltage change data in a partial range of [0.5,1.5] exist, and the single lithium battery with the fault is judged to be a capacity fault;
4) The instantaneous rising amplitude of residual voltage data of the failed single lithium battery at the initial stage is larger than 0.5, and the connection key is judged to be failed;
5) And the residual voltage data of the single lithium battery with the fault is less than 0, the variation trend is rapidly reduced, and the single lithium battery with the fault is judged to be an external short circuit fault.
CN202210939488.9A 2022-08-05 2022-08-05 Lithium battery pack fault diagnosis method based on Manhattan distance and voltage difference analysis Pending CN115270067A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116482560A (en) * 2023-06-21 2023-07-25 中国华能集团清洁能源技术研究院有限公司 Battery fault detection method and device, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116482560A (en) * 2023-06-21 2023-07-25 中国华能集团清洁能源技术研究院有限公司 Battery fault detection method and device, electronic equipment and storage medium
CN116482560B (en) * 2023-06-21 2023-09-12 中国华能集团清洁能源技术研究院有限公司 Battery fault detection method and device, electronic equipment and storage medium

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