CN110618390A - Method, device and equipment for identifying abnormal single battery of storage battery pack and storage medium thereof - Google Patents
Method, device and equipment for identifying abnormal single battery of storage battery pack and storage medium thereof Download PDFInfo
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- CN110618390A CN110618390A CN201910909249.7A CN201910909249A CN110618390A CN 110618390 A CN110618390 A CN 110618390A CN 201910909249 A CN201910909249 A CN 201910909249A CN 110618390 A CN110618390 A CN 110618390A
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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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
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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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The invention discloses a method for identifying abnormal single batteries of a storage battery pack, which comprises the following steps: acquiring first operation data of a first storage battery pack and second operation data of a second storage battery pack; judging whether the first storage battery pack meets a first preset condition or not according to the first operation data and the second operation data; and when the first preset condition is determined to be met, marking the single battery in the first storage battery pack as an abnormal single battery. According to the scheme, the abnormal single batteries in the first storage battery pack can be marked through the correlation coefficient calculated by the first operation data in the first storage battery pack and the second operation data in the second storage battery pack, so that the online detection of all monitored storage batteries is facilitated, and then maintenance personnel can be helped to find and replace the abnormal single batteries in the storage batteries in time, and the service life of the storage batteries is prolonged.
Description
Technical Field
The invention relates to the technical field of storage batteries, in particular to a method, a device and equipment for identifying abnormal single batteries of a storage battery pack and a storage medium thereof.
Background
At present, the storage battery is widely applied, for example, the storage battery is required to continuously provide power supply in various occasions such as a communication system, a power system, a national defense and combat readiness emergency system, traffic, a high-speed railway, an IDC data center and the like, so that the storage battery has a very key basic function in the production or service field.
Most of the existing storage battery packs are formed by connecting a plurality of battery monomers in series when in use, and as the storage battery is easy to break down, as long as one battery monomer is damaged, all the storage battery packs fail, and further huge loss is caused.
Therefore, how to identify abnormal unit cells in the battery pack becomes an urgent problem to be solved. However, although the prior art can determine whether the single battery is abnormal by using the testing equipment to measure the battery capacity while the storage battery is discharged, the method is time-consuming and labor-consuming because a large number of storage batteries exist in a machine room and need to be detected, and is used for needing to be equipped with special testing equipment, which results in higher cost.
Disclosure of Invention
In order to solve the problems, the invention provides a method, a device, equipment and a storage medium for identifying abnormal single batteries of a storage battery pack, which can perform online detection on all monitored storage batteries, help maintenance personnel to find and replace abnormal single batteries in the storage batteries in time and prolong the service life of the storage batteries.
The invention provides a method for identifying abnormal single batteries of a storage battery pack, which comprises the following steps: acquiring first operation data of a first storage battery pack and second operation data of a second storage battery pack, wherein the first operation data at least comprise working voltage values of all single batteries of the first storage battery pack, and the second operation data at least comprise working voltage values of all single batteries of the second storage battery pack; judging whether the first storage battery pack meets a first preset condition or not according to the first operation data and the second operation data; and when the first preset condition is determined to be met, marking the single battery in the first storage battery pack as an abnormal single battery.
Optionally, the determining whether the first storage battery pack meets a first preset condition according to the first operating data and the second operating data includes: calculating correlation coefficients between every two N monomers in a monomer set X in the first storage battery pack by using a spearman algorithm, and simultaneously calculating correlation coefficients of each monomer in the monomer set X and all monomers M in a monomer set Y in the second storage battery pack; wherein the monomer set refers to a voltage value set, and the monomer refers to a voltage value; selecting a monomer A in a monomer set X; counting the number B of the monomers of which the correlation coefficients with the monomers A are smaller than a threshold value in the monomer set X and the monomer set Y; judging whether the monomer quantity B is more than (N + M)/2.
Optionally, after determining whether the monomer amount B is greater than (N + M)/2, the method further includes: when the number B of the monomers is judged to be greater than (N + M)/2, marking the monomer A as an abnormal monomer battery; when the monomer number B is judged to be less than or equal to (N + M)/2, marking the monomer A as a normal single battery.
Optionally, after the monomer a is marked as an abnormal single battery when the monomer number B is determined to be greater than (N + M)/2, the method further includes: determining whether the abnormal monomer marked as A is accurate; and if not, marking the monomer M in the monomer set Y in the second storage battery pack as an unreliable monomer.
The invention also provides a device for identifying abnormal single batteries of the storage battery pack, which comprises: the device comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring first operation data of a first storage battery pack and second operation data of a second storage battery pack, the first operation data at least comprises working voltage values of all single batteries of the first storage battery pack, and the second operation data at least comprises working voltage values of all single batteries of the second storage battery pack; the judging unit is used for judging whether the first storage battery pack meets a first preset condition or not according to the first operation data and the second operation data; and the marking unit is used for marking the single battery in the first storage battery pack as an abnormal single battery when the first preset condition is determined to be met.
Optionally, the determining whether the first storage battery pack meets a first preset condition according to the first operating data and the second operating data includes: the calculation unit is used for calculating the correlation coefficient between every two N monomers in the monomer set X in the first storage battery pack by utilizing a spearman algorithm, and simultaneously calculating the correlation coefficient between each monomer in the monomer set X and all the monomers M in the monomer set Y in the second storage battery pack; wherein the monomer set refers to a voltage value set, and the monomer refers to a voltage value; the selecting unit is used for selecting a monomer A in the monomer set X; the counting unit is used for counting the number B of the monomers, the correlation coefficient of which with the monomer A is smaller than a threshold value, in the monomer set X and the monomer set Y; and the judging subunit is used for judging whether the monomer quantity B is greater than (N + M)/2.
Optionally, after determining whether the monomer amount B is greater than (N + M)/2, the apparatus further includes: the abnormal marking unit is used for marking the single battery A as an abnormal single battery when the judging result shows that the number B of the single batteries is greater than (N + M)/2; and a normal marking unit for marking the cell A as a normal cell when the cell number B is judged to be less than or equal to (N + M)/2.
Optionally, after the single cell a is marked as an abnormal single cell when the number B of the single cells is greater than (N + M)/2, the apparatus further includes: a determining unit, for determining whether the abnormal monomer marked as A is accurate; and the non-credible unit is used for marking the monomer M in the monomer set Y in the second storage battery pack as a non-credible monomer if the monomer M is inaccurate.
The invention also provides a storage battery pack abnormal single cell identification device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the method described in the embodiment of the application.
The present invention also provides a computer-readable storage medium having stored thereon a computer program for: which when executed by a processor implements a method as described in embodiments of the present application.
According to the method for identifying the abnormal single battery of the storage battery pack, the abnormal single battery in the first storage battery pack can be marked through the correlation coefficient calculated by the first operation data in the first storage battery pack and the second operation data in the second storage battery pack, so that online detection of all monitored storage batteries is facilitated, maintenance personnel can be helped to find and replace the abnormal single battery in the storage batteries in time, and the service life of the storage batteries is prolonged.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for identifying abnormal single cells of a storage battery pack according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating a method for identifying an abnormal single battery of a battery pack according to another embodiment of the present application;
fig. 3 shows an exemplary structural block diagram of a battery pack abnormal unit cell identification apparatus 300 according to an embodiment of the present application;
fig. 4 shows an exemplary block diagram of a battery pack abnormal cell identification apparatus 400 according to still another embodiment of the present application;
fig. 5 shows a schematic structural diagram of a computer system suitable for implementing the terminal device of the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings by way of examples of preferred embodiments. It should be noted, however, that the numerous details set forth in the description are merely for the purpose of providing the reader with a thorough understanding of one or more aspects of the present invention, which may be practiced without these specific details.
As used herein, the terms "module," "system," and the like are intended to encompass a computer-related entity, such as but not limited to hardware, firmware, a combination of hardware and software, or software in execution. For example, a module may be, but is not limited to: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. For example, an application running on a computing device and the computing device may both be a module. One or more modules may reside within a process and/or thread of execution.
The technical solution of the present invention will be described in detail with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic flow chart of a method for identifying an abnormal single battery of a storage battery pack according to an embodiment of the present invention, as shown in fig. 1, the method includes:
s110, acquiring first operation data of the first battery pack and second operation data of the second battery pack, where the first operation data at least includes working voltage values of each battery cell of the first battery pack, and the second operation data at least includes working voltage values of each battery cell of the second battery pack, that is, acquiring the first operation data of the first battery pack and the second operation data of the second battery pack in step S210.
Specifically, time series data of all cell voltages of the first storage battery pack to be detected at the same time interval and in a constant working state are selected (assuming that one storage battery pack has N cells, and a cell set is marked as X ═ Id { (where N cells are assumed to be present in the storage battery pack)1，Id2...IdN}), wherein the time series data refer to cell voltages ordered by acquisition time; next, cell timing data of a plurality of second storage battery packs under the same monitoring system is selected (assuming that the number of randomly selected cells is 2N', and a random cell set is recorded as Y ═ RId1，RId2...RId2NAnd furthermore, the time interval, the working state and the battery model of data acquisition of the single batteries in the second storage battery pack are consistent with the running time interval, the working state and the battery model of the single batteries in the first storage battery pack to be detected, and the number of the single batteries in the second storage battery pack is recorded as M.
S120, judging whether the first storage battery pack meets a first preset condition or not according to the first operation data and the second operation data; specifically, referring to fig. 2, the conditions specifically include:
s220, calculating correlation coefficients between every two N monomers in a monomer set X in the first storage battery pack by utilizing a spearman algorithm, and simultaneously calculating correlation coefficients of each monomer in the monomer set X and all monomers M in a monomer set Y in the second storage battery pack;
specifically, firstly, a spearman algorithm is utilized to calculate the correlation coefficient between every two N monomers in a monomer set X in a first storage battery pack, and the correlation coefficient between each monomer in the monomer set X and all monomers M in a monomer set Y is calculated, wherein the value range of the correlation coefficient is [ -1, 1 ];
next, the voltage data of the N cells in the first battery pack is denoted as P ═ P1，P2...PnGet P after sorting according to ascending orderiThe position in the sorted sequence is denoted as R (P)i) Finally, a rank sequence { R (P) } is obtained1)，R(P2)...R(Pn) And simultaneously, recording the voltage data of the M single batteries in the second storage battery pack as Q ═ Q1，Q2...QnGet Q after sorting according to ascending orderiThe position in the sorted sequence is denoted as R (Q)i) Finally, a rank sequence { R (Q) } is obtained1)，R(Q2)...R(Qn)}；
According to the formulaCalculating the difference d between corresponding elements of two groups of rank sequences, adding the calculated differences, and calculating the sum according to a formulaCalculating a correlation coefficient Rs, where R (P)i) Representing element PiRank in column vector P, R (Q)i) Represents the element QiRank in column vector Q; when Rs is greater than 0, the two monomer voltage curves are considered to be positively correlated, and the curves are similar as the curve is closer to 1; rs is 0, then the two cell voltage curves are considered to be uncorrelated; rs < 0, then identifyThe two cell voltage curves are inversely related.
S230, selecting a monomer A in the monomer set X;
s240, counting the number B of the monomers, of which the correlation coefficients with the monomers A are smaller than a threshold value, in the monomer set X and the monomer set Y;
s250, judging whether the monomer quantity B is more than (N + M)/2.
S260, when the number Q of the single batteries is larger than (N + M)/2, marking the single battery A as an abnormal single battery, namely in the step S130, when a first preset condition is determined to be met, marking the single battery in the first storage battery pack as the abnormal single battery, wherein the first preset condition is that Q is larger than (N + M)/2;
and S270, marking the single cell A as a normal single cell when the number Q of the single cells is judged to be less than or equal to (N + M)/2.
After marking the cell a as an abnormal cell in the above step S260, the method further includes: and judging whether the marked abnormal monomer A is consistent with the actual result, if so, determining that the marked abnormal monomer A is correct, and if not, determining that the marked abnormal monomer A has a wrong result, marking all the monomers M in the monomer set Y in the second storage battery pack as the unreliable monomers, and further filtering the unreliable monomers when randomly selecting the monomers next time, thereby further improving the checking accuracy.
Furthermore, if the battery is replaced with a new cell, the above-marked unreliable cell can be removed.
It should be noted that while the operations of the method of the present invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Further, referring to fig. 3, fig. 3 shows an exemplary structural block diagram of a battery pack abnormal unit cell identification apparatus 300 according to an embodiment of the present application. The device is used for identifying the abnormal single battery of the storage battery pack.
As shown in fig. 3, the apparatus includes:
the obtaining unit 310 is configured to obtain first operation data of the first battery pack and second operation data of the second battery pack, where the first operation data at least includes operating voltage values of each single cell of the first battery pack, and the second operation data at least includes operating voltage values of each single cell of the second battery pack, that is, the obtaining unit 410 in fig. 4.
Specifically, time series data of all cell voltages of the first storage battery pack to be detected at the same time interval and in a constant working state are selected (assuming that one storage battery pack has N cells, and a cell set is marked as X ═ Id { (where N cells are assumed to be present in the storage battery pack)1，Id2...IdN}), wherein the time series data refer to cell voltages ordered by acquisition time; next, cell timing data of a plurality of second storage battery packs under the same monitoring system is selected (assuming that the number of randomly selected cells is 2N', and a random cell set is recorded as Y ═ RId1，RId2...RId2NAnd furthermore, the time interval, the working state and the battery model of data acquisition of the single batteries in the second storage battery pack are consistent with the running time interval, the working state and the battery model of the single batteries in the first storage battery pack to be detected, and the number of the single batteries in the second storage battery pack is recorded as M.
A determining unit 320, configured to determine whether the first battery pack meets a first preset condition according to the first operating data and the second operating data; specifically, referring to fig. 4, the conditions specifically include:
the calculating unit 420 is configured to calculate correlation coefficients between every two N monomers in the monomer set X in the first storage battery pack by using a spearman algorithm, and calculate correlation coefficients between each monomer in the monomer set X and all monomers M in the monomer set Y in the second storage battery pack;
specifically, firstly, a spearman algorithm is utilized to calculate the correlation coefficient between every two N monomers in a monomer set X in a first storage battery pack, and the correlation coefficient between each monomer in the monomer set X and all monomers M in a monomer set Y is calculated, wherein the value range of the correlation coefficient is [ -1, 1 ];
next, the voltage data of the N cells in the first battery pack is denoted as P ═ P1，P2...PnGet P after sorting according to ascending orderiThe position in the sorted sequence is denoted as R (P)i) Finally, a rank sequence { R (P) } is obtained1)，R(P2)...R(Pn) And simultaneously, recording the voltage data of the M single batteries in the second storage battery pack as Q ═ Q1，Q2...QnGet Q after sorting according to ascending orderiThe position in the sorted sequence is denoted as R (Q)i) Finally, a rank sequence { R (Q) } is obtained1)，R(Q2)...R(Qn)}；
According to the formulaCalculating the difference d between corresponding elements of two groups of rank sequences, adding the calculated differences, and calculating the sum according to a formulaCalculating a correlation coefficient Rs, where R (P)i) Representing element PiRank in column vector P, R (Q)i) Represents the ranking of the element Qi in the column vector Q; when Rs is greater than 0, the two monomer voltage curves are considered to be positively correlated, and the curves are similar as the curve is closer to 1; rs is 0, then the two cell voltage curves are considered to be uncorrelated; rs < 0, the two cell voltage curves are considered to be inversely related.
A selecting unit 430, configured to select a monomer a in the monomer set X;
the counting unit 440 is configured to count the number B of the monomers in the monomer set X and the monomer set Y, where a correlation coefficient with the monomer a is smaller than a threshold;
a judging subunit 450, configured to judge whether the monomer amount B is greater than (N + M)/2.
A marking subunit 460, configured to mark the cell a as an abnormal cell when it is determined that the number Q of cells is greater than (N + M)/2, that is, in the marking unit 330, when it is determined that a first preset condition is met, mark the cell in the first battery pack as an abnormal cell, where the first preset condition is that Q is greater than (N + M)/2; when the number Q of the single batteries is judged to be less than or equal to (N + M)/2, marking the single battery A as a normal single battery.
After marking the cell a as an abnormal cell in the step marking subunit 460, the method further includes: and judging whether the marked abnormal monomer A is consistent with the actual result, if so, determining that the marked abnormal monomer A is correct, and if not, determining that the marked abnormal monomer A has a wrong result, marking all the monomers M in the monomer set Y in the second storage battery pack as the unreliable monomers, and further filtering the unreliable monomers when randomly selecting the monomers next time, thereby further improving the checking accuracy.
Furthermore, if the battery is replaced with a new cell, the above-marked unreliable cell can be removed.
It should be understood that the units or modules described in the apparatus 300-400 correspond to the various steps in the method described with reference to fig. 1-2. Thus, the operations and features described above with respect to the method are equally applicable to the apparatus 300-400 and the units included therein and will not be described again here. The apparatus 300-400 may be implemented in a browser or other security applications of the electronic device in advance, or may be loaded into the browser or other security applications of the electronic device by downloading or the like. The corresponding units in the apparatus 300-400 can cooperate with units in the electronic device to implement the solution of the embodiment of the present application.
Referring now to FIG. 5, a block diagram of a computer system 500 suitable for use in implementing a terminal device or server of an embodiment of the present application is shown.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, the processes described above with reference to fig. 1-2 may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method of fig. 1-2. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor, and may be described as: a processor includes a first sub-region generating unit, a second sub-region generating unit, and a display region generating unit. Where the names of these units or modules do not in some cases constitute a definition of the unit or module itself, for example, the display area generating unit may also be described as a "unit for generating a display area of text from the first sub-area and the second sub-area".
As another aspect, the present application also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the foregoing device in the foregoing embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described herein for evaluating server utilization.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention as defined above. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. A method for identifying abnormal single batteries of a storage battery pack is characterized by comprising the following steps:
acquiring first operation data of a first storage battery pack and second operation data of a second storage battery pack, wherein the first operation data at least comprise working voltage values of all single batteries of the first storage battery pack, and the second operation data at least comprise working voltage values of all single batteries of the second storage battery pack;
judging whether the first storage battery pack meets a first preset condition or not according to the first operation data and the second operation data;
and when the first preset condition is determined to be met, marking the single battery in the first storage battery pack as an abnormal single battery.
2. The method for identifying an abnormal single battery of a storage battery pack according to claim 1, wherein the step of judging whether the first storage battery pack meets a first preset condition according to the first operation data and the second operation data comprises the following steps:
calculating correlation coefficients between every two N monomers in a monomer set X in the first storage battery pack by using a spearman algorithm, and simultaneously calculating correlation coefficients of each monomer in the monomer set X and all monomers M in a monomer set Y in the second storage battery pack; wherein the monomer set refers to a voltage value set, and the monomer refers to a voltage value;
selecting a monomer A in a monomer set X;
counting the number B of the monomers of which the correlation coefficients with the monomers A are smaller than a threshold value in the monomer set X and the monomer set Y;
judging whether the monomer quantity B is more than (N + M)/2.
3. The method for identifying an abnormal unit cell of a battery pack according to claim 2, wherein after said judging whether the number of unit cells B is greater than (N + M)/2, the method further comprises:
when the number B of the monomers is judged to be greater than (N + M)/2, marking the monomer A as an abnormal monomer battery;
when the monomer number B is judged to be less than or equal to (N + M)/2, marking the monomer A as a normal single battery.
4. The method for identifying an abnormal unit cell in a battery pack according to claim 3, wherein after marking the unit cell A as an abnormal unit cell when it is judged that the number of unit cells B is greater than (N + M)/2, the method further comprises:
determining whether the abnormal monomer marked as A is accurate;
and if not, marking the monomer M in the monomer set Y in the second storage battery pack as an unreliable monomer.
5. An abnormal unit cell recognition device for a secondary battery pack, the device comprising:
the device comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring first operation data of a first storage battery pack and second operation data of a second storage battery pack, the first operation data at least comprises working voltage values of all single batteries of the first storage battery pack, and the second operation data at least comprises working voltage values of all single batteries of the second storage battery pack;
the judging unit is used for judging whether the first storage battery pack meets a first preset condition or not according to the first operation data and the second operation data;
and the marking unit is used for marking the single battery in the first storage battery pack as an abnormal single battery when the first preset condition is determined to be met.
6. The device for identifying an abnormal single battery of a storage battery pack according to claim 5, wherein the judging whether the first storage battery pack satisfies a first preset condition according to the first operation data and the second operation data comprises:
the calculation unit is used for calculating the correlation coefficient between every two N monomers in the monomer set X in the first storage battery pack by utilizing a spearman algorithm, and simultaneously calculating the correlation coefficient between each monomer in the monomer set X and all the monomers M in the monomer set Y in the second storage battery pack; wherein the monomer set refers to a voltage value set, and the monomer refers to a voltage value;
the selecting unit is used for selecting a monomer A in the monomer set X;
the counting unit is used for counting the number B of the monomers, the correlation coefficient of which with the monomer A is smaller than a threshold value, in the monomer set X and the monomer set Y;
and the judging subunit is used for judging whether the monomer quantity B is greater than (N + M)/2.
7. The apparatus for identifying an abnormal unit cell of a secondary battery pack according to claim 6, wherein after said judging whether the number of unit cells B is greater than (N + M)/2, the apparatus further comprises:
the abnormal marking unit is used for marking the single battery A as an abnormal single battery when the judging result shows that the number B of the single batteries is greater than (N + M)/2;
and a normal marking unit for marking the cell A as a normal cell when the cell number B is judged to be less than or equal to (N + M)/2.
8. The apparatus for identifying an abnormal unit cell of a battery pack according to claim 7, wherein after marking the unit cell a as an abnormal unit cell when it is judged that the number of unit cells B is greater than (N + M)/2, the apparatus further comprises:
a determining unit, for determining whether the abnormal monomer marked as A is accurate;
and the non-credible unit is used for marking the monomer M in the monomer set Y in the second storage battery pack as a non-credible monomer if the monomer M is inaccurate.
9. A battery pack abnormal cell identification apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein,
the processor, when executing the program, implements the method of any of claims 1-4.
10. A computer-readable storage medium having stored thereon a computer program for:
the computer program, when executed by a processor, implementing the method as claimed in any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910909249.7A CN110618390B (en) | 2019-09-25 | 2019-09-25 | Method, device and equipment for identifying abnormal single battery of storage battery pack and storage medium thereof |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910909249.7A CN110618390B (en) | 2019-09-25 | 2019-09-25 | Method, device and equipment for identifying abnormal single battery of storage battery pack and storage medium thereof |
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| Publication Number | Publication Date |
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| CN110618390A true CN110618390A (en) | 2019-12-27 |
| CN110618390B CN110618390B (en) | 2021-08-31 |
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| CN111157910A (en) * | 2019-12-30 | 2020-05-15 | 北京四维智联科技有限公司 | Method, device and equipment for diagnosing structural rationality of battery pack |
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