CN116626514A - Method, system and equipment for screening invalid battery cells - Google Patents
Method, system and equipment for screening invalid battery cells Download PDFInfo
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- 238000012216 screening Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 45
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- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
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- 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
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- G—PHYSICS
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- 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
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Abstract
The disclosure relates to a failure cell screening method, system and equipment, wherein the method comprises the following steps: data acquisition: acquiring cell data of a target cell; parameter setting: presetting a judgment parameter sigma; data processing: normalizing the obtained voltage time series data; judging and selecting: select a single cell that meets the normalized voltage data |datanor|>sigma at any time as the failed cell; and result output: outputting the selected failure cell result. The system and apparatus are for performing the above method. The method and the device can be used for rapidly screening the failure battery cells of the electrochemical energy storage system, can avoid the interference of human subjective factors, have good timeliness and accuracy, can remarkably improve the screening efficiency of the failure battery cells, and reduce the manual workload in the screening process.
Description
Technical Field
The invention discloses a technical scheme for energy storage system management, and particularly relates to a failure cell screening method, a failure cell screening system and failure cell screening equipment.
Background
The electrochemical energy storage power station is difficult to establish a precise mathematical model for description due to the complex electrochemical characteristics of the lithium ion battery which is a constituent unit of the electrochemical energy storage power station during working, so that the current battery running state can only be monitored according to the external physical characteristic quantity of the electrochemical energy storage power station, the physical quantity collected by a sensor is used for judging the current battery running state, however, as the deployment scale of the electrochemical energy storage power station of a single power station is larger and larger, tens of thousands of battery cells are needed for each power station, the state of tens of thousands of battery cells is monitored, a certain difficulty exists, in addition, all links of production and manufacture are difficult to ensure absolute consistency, after long-time running, part of battery cells necessarily show a rapid attenuation effect, and the attenuation battery cells are rapidly screened and replaced, so that the safe and stable running of the system is not influenced, and the practical problem that all energy storage power stations are required to face.
One of the main ways to screen the attenuated cells at present is to find an abnormal point through the data monitoring of the real-time cells when the power station capacity (or the cell stack capacity) and the expected value show a large fall; another mainstream method is to perform graphic analysis on the historical data of the battery cell, and screen abnormal points through relative value comparison. However, the timeliness of the two modes can be difficult to achieve, the manual observation of mass data is relied on, and the capacity risk prompt can not be accurately and timely carried out by considering the reality factors, so that a method for screening the failure battery cells in the electrochemical energy storage system is lacking in the prior art, and improvement is needed.
Disclosure of Invention
In order to solve the problems in the prior art, the disclosure aims to provide a method, a system and equipment for screening a failure cell. The method and the device can be used for rapidly screening the failure battery cells of the electrochemical energy storage system, can avoid the interference of human subjective factors, have good timeliness and accuracy, can remarkably improve the screening efficiency of the failure battery cells, and reduce the manual workload in the screening process.
The method for screening the failure battery cells comprises the following steps:
and (3) data acquisition: defining all single cells to be screened in an energy storage system as target cells and carrying out unique numbering to obtain cell data of the target cells, wherein the cell data comprise voltage time sequence data;
parameter setting: presetting a judgment parameter sigma;
and (3) data processing: normalizing the obtained voltage time series data to obtain normalized voltage data nor ；
Judging and selecting: normalized voltage data of each single cell nor Numerical comparison is carried out on the normalized voltage data and the judgment parameter sigma, and normalized voltage data which meet any moment is selected nor |>The single cell of sigma is used as a failure cell;
and (3) outputting results: and outputting the selected failure cell result.
Preferably, the parameter setting further includes: presetting a relaxation margin vol_thr about a failure cell judgment result;
the data processing step further comprises: calculating the average voltage value vol of all target cells at the moment k mean,k Calculating the voltage value of the single cell j at the moment k and the average voltage value vol mean,k Deviation value e of (2) j,k ，k∈C k ，j∈C j Wherein C k Representing a set of all times of the die data, C j A set of unique numbers representing the target cells;
the judging and selecting steps specifically comprise:
a. judging whether the single cell j has normalized voltage data at any moment nor,k >sigma or data nor,k <-sigma, if yes, entering step b, otherwise skipping the single cell j, selecting the next single cell and repeating the step;
b. if the single cell j has normalized voltage data at any time nor,k >sigma, further judging whether the single cell j has a deviation value e at any moment j,k >And (c) classifying the single cell j into a set bat_up if the single cell j exists, otherwise skipping the single cell j, and selecting the next single cell to return to the step (a);
if the single cell j has normalized voltage data at any time nor,k <Sigma, further determining whether the single cell j has a bias value e at any time j,k <-vol_thr, if present, classifying the cell j into a set bat_down, otherwise skipping the cell j, selecting the next cell and returning to step a;
c. and c, repeating the steps a and b until the judgment of all the target cells is completed, and taking an intersection int of the set bat_up and the set bat_down, wherein the corresponding single cell in the intersection int is the invalid cell.
Preferably, the parameter setting further includes: presetting an upper boundary parameter vol_up and a lower boundary parameter vol_down related to data screening; the method further comprises the following steps before the data processing:
data screening: comparing the voltage data of each moment in the voltage time series data of each target cell with the upper boundary parameter vol_up and the lower boundary parameter vol_down in a numerical comparison mode, judging whether the voltage data is larger than the upper boundary parameter vol_up or smaller than the lower boundary parameter vol_down, if yes, keeping the voltage data as effective data, otherwise, eliminating the voltage data as ineffective data;
and arranging the effective data of each target cell in time sequence to serve as the input data of the data processing step.
Preferably, in the data acquisition, the electrical core data further includes current time series data;
the data processing further comprises, after the normalization processing:
processing the current time sequence data through a sign function sign to obtain corrected current data, and obtaining normalized voltage data nor Multiplying the corrected current data to obtain corrected voltage data pre ；
The obtained corrected voltage data pre Normalized voltage data corresponding to partial data greater than 0 in the data set nor Setting zero, and reserving the rest normalized voltage data nor Input data as the judgment selecting step。
Preferably, in the parameter setting step, the judgment parameter sigma is the arithmetic square root of the normal distribution confidence a.
Preferably, in the data processing, the obtained voltage time-series data is normalized by μ=0, σ=1.
A failure cell screening system of the present disclosure, comprising:
the data acquisition module is used for defining all the single cells to be screened in the energy storage system as target cells and carrying out unique numbering, so as to acquire cell data of the target cells, wherein the cell data comprise voltage time sequence data;
the parameter setting module is used for presetting a judgment parameter sigma which is the arithmetic square root of the normal distribution confidence coefficient a;
the data processing module is used for carrying out normalization processing on the obtained voltage time sequence data to obtain normalized voltage data nor ；
The judging and selecting module is used for normalizing voltage data of each single cell nor Numerical comparison is carried out on the normalized voltage data and the judgment parameter sigma, and normalized voltage data which meet any moment is selected nor |>The single cell of sigma is used as a failure cell;
and the result output module is used for outputting the selected failure cell result.
A computer device of the present disclosure includes a signally connected processor and a memory having stored therein at least one instruction or at least one program that when loaded by the processor performs a failure cell screening method as described above.
A computer readable storage medium of the present disclosure having stored thereon at least one instruction or at least one program, wherein the at least one instruction or the at least one program when loaded by a processor performs a failure cell screening method as described above.
The method, the system and the equipment for screening the failure battery cells have the advantages that:
1. according to the screening method designed by the related knowledge of classical probability theory, according to the characteristics that the battery cell charge protection voltage is preferentially reached during charging and the discharge protection voltage is preferentially reached during discharging under the normal condition of the failed battery cell, the battery cell which simultaneously meets the condition that the battery cell charge protection voltage is preferentially reached during charging and the discharge protection voltage is preferentially reached during discharging can be screened out by taking the final intersection output, namely the failed battery cell;
2. according to the method and the device, the screened object data can be selected by setting the boundary parameters of data screening, the strictness of the screening judgment result can be adjusted by setting the relaxation margin of the final screening result, so that the strictness of the whole screening result can be adjusted, the parameters can be adjusted according to the actual energy storage system parameters and the screening standard, different screening requirements can be met, and the method and the device are more flexible and convenient to use.
Drawings
FIG. 1 is a flowchart of the method for screening a failed cell according to the present embodiment;
FIG. 2 is a block diagram of a failed cell screening system according to the present embodiment;
fig. 3 is a schematic structural diagram of the computer device according to the present embodiment.
Reference numerals illustrate: 101-processor, 102-memory.
Detailed Description
As shown in fig. 1, a method for screening a failed cell according to the present disclosure includes the following steps:
and (3) data acquisition: all the single cells to be screened in the energy storage system are defined as target cells and are uniquely numbered so as to distinguish and position each target cell. The method comprises the steps of acquiring battery cell data of a target battery cell, wherein the battery cell data specifically comprises voltage time sequence data and current time sequence data, the voltage time sequence data generally refers to the fact that the target battery cell is in a continuous time period, each moment corresponds to the corresponding data of the battery cell working voltage, and the current time sequence data are the same.
Parameter setting: the judgment parameter sigma is preset, the judgment parameter sigma is specifically the arithmetic square root of the normal distribution confidence coefficient a, the sigma parameter in the embodiment is obtained by adopting a normal distribution function correlation theory, and other probability distribution functions with the same or similar functions can be adopted to obtain a correlated sigma value.
In this step, in order to reduce the processing operand of the data in the subsequent step and adjust the severity of the final failed cell screening result, in this embodiment, an upper boundary parameter vol_up and a lower boundary parameter vol_down related to data screening and a relaxation margin vol_thr related to the failed cell judgment result may be preset; the parameters are unnecessary parameters, but when the parameters are not set, the screening result is represented by a strong result set, and the result in the strong result set has a cell monomer which does not seriously affect the whole operation, namely the screening result has higher strictness.
Data screening: screening the cell data samples according to the upper boundary parameter vol_up and the lower boundary parameter vol_down, specifically, comparing the voltage data of each moment in the voltage time series data of each target cell with the upper boundary parameter vol_up and the lower boundary parameter vol_down, judging whether the voltage data meets the condition that the voltage data is larger than the upper boundary parameter vol_up or smaller than the lower boundary parameter vol_down, if yes, keeping the voltage data as effective data, and otherwise, eliminating the voltage data as ineffective data. The step can carry out preliminary screening on the data, reduce the data operand of the subsequent step, and set proper parameter values according to the type of the battery cell so that the final screening result meets the screening requirement. In a specific embodiment, the sigma parameter is determined by adopting a normal distribution 3 sigma principle, the upper boundary parameter vol_up lithium iron phosphate battery is usually 3.5, the lower boundary parameter vol_down lithium iron phosphate battery is usually 3.0, other feasible probability distribution functions of the sigma parameter include a grubbs detection distribution function, a nai r detection distribution function and the like, and because the probability distribution function is related to a mathematical method, certain probability distribution can be customized according to a data distribution rule, and the parameter with a similar boundary screening function can be taken as a sigma value in principle.
And (3) data processing: calculating the average voltage value vol of all target cells at the moment k in the screened cell data mean,k Calculating the voltage value of the single cell j at the moment k and the average voltage value vol mean,k Deviation value e of (2) j,k ，k∈C k ，j∈C j Wherein C k Representing a set of all times of the die data, C j Representing a set of unique numbers of the target cells.
Normalization: normalizing the filtered voltage time series data according to mu=0 and sigma=1 to obtain normalized voltage data nor ；
And (3) setting interference data to zero: processing the current time sequence data through a sign function sign to obtain corrected current data, and obtaining normalized voltage data nor Multiplying the corrected current data to obtain corrected voltage data pre ；
The obtained corrected voltage data pre Normalized voltage data corresponding to partial data greater than 0 in the data set nor Setting zero, and reserving the rest normalized voltage data nor As the input data of the judgment and selection step, the interference data or the invalid data is set to zero in the step, and the valid data is reserved as the input data of the judgment and selection step.
Judging and selecting:
a. firstly, judging whether the single cell j has normalized voltage data at any moment nor,k >sigma or data nor,k <-sigma, if yes, entering step b, otherwise skipping the single cell j, selecting the next single cell and repeating the step;
b. this step is divided into two cases, specifically as follows:
if the single cell j has normalized voltage data at any time nor,k >sigma, further judging whether the single cell j has a deviation value e at any moment j,k >vol_thrIf so, classifying the single cell j into a set bat_up, otherwise, skipping the single cell j, and selecting the next single cell to return to the step a;
if the single cell j has normalized voltage data at any time nor,k <Sigma, further determining whether the single cell j has a bias value e at any time j,k <-vol_thr, if present, classifying the cell j into a set bat_down, otherwise skipping the cell j, selecting the next cell and returning to step a;
c. repeating the steps a and b until the judgment of all the target cells is completed, taking an intersection point of the set bat_up and the set bat_down, wherein the corresponding single cells in the intersection point are failure cells, and in the step, the normalized voltage data of each single cell at each moment can be ordered one by one according to the unique numbers of the single cells and the time sequence nor,k Deviation value e j,k Comparing the value with the corresponding judging reference value to judge whether the single battery cell has normalized voltage data at any moment nor,k Deviation value e j,k Satisfying the corresponding judgment standard, thereby obtaining a set bat_up and a set bat_down, wherein the set bat_up is normalized voltage data at any moment nor,k >sigma, and there is a deviation e of any time j,k >vol_thr single cell unique number collection and similar collection bat_down are normalized voltage data at any moment nor,k <Sigma, and there is a deviation value e at any time j,k <-a collection of unique numbers of the individual cells of vol_thr. Therefore, when the two sets are intersected, the voltage data of the single battery cells in the intersection int at different moments simultaneously meet the two screening conditions, so that the single battery cells in the intersection are judged to have the possibility of seriously influencing the whole operation of the energy storage system, and the single battery cells are output as a failure battery cell screening result.
As shown in fig. 2, the present embodiment further provides a failure cell screening system, including:
the data acquisition module is used for defining all the single cells to be screened in the energy storage system as target cells and carrying out unique numbering, so as to acquire cell data of the target cells, wherein the cell data comprise voltage time sequence data;
the parameter setting module is used for presetting a judgment parameter sigma which is the arithmetic square root of the normal distribution confidence coefficient a;
the data processing module is used for carrying out normalization processing on the obtained voltage time sequence data to obtain normalized voltage data nor ；
The judging and selecting module is used for normalizing voltage data of each single cell nor Numerical comparison is carried out on the normalized voltage data and the judgment parameter sigma, and normalized voltage data which meet any moment is selected nor |>The single cell of sigma is used as a failure cell;
and the result output module is used for outputting the selected failure cell result.
The system of the present embodiment and the method embodiment described above are based on the same inventive concept, and may be understood with reference to the description of the method embodiment described above, which is not repeated here.
As shown in fig. 3, this embodiment further provides a computer device, including a processor 101 and a memory 102 connected by a bus signal, where at least one instruction or at least one program is stored in the memory 102, and the at least one instruction or the at least one program performs the failure cell screening method as described above when loaded by the processor 101. The memory 102 may be used to store software programs and modules, and the processor 101 executes various functional applications by running the software programs and modules stored in the memory 102. The memory 102 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for functions, and the like; the storage data area may store data created according to the use of the device, etc. In addition, memory 102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 102 may also include a memory controller to provide access to the memory 102 by the processor 101.
The method embodiments provided by the embodiments of the present disclosure may be performed in a computer terminal, a server, or a similar computing device, i.e., the above-described computer apparatus may include a computer terminal, a server, or a similar computing device. The internal structure of the computer device may include, but is not limited to: processor, network interface and memory. Wherein the processor, network interface, and memory within the computer device may be connected by a bus or other means.
The processor 101 (or CPU (Central ProcessingUnit, central processing unit)) is a computing core and a control core of the computer device. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI, mobile communication interface, etc.). Memory 102 (Memory) is a Memory device in a computer device for storing programs and data. It is understood that the memory 102 herein may be a high-speed RAM memory device or a non-volatile memory device (non-volatile memory), such as at least one magnetic disk memory device; optionally, at least one memory device located remotely from the aforementioned processor 101. The memory 102 provides storage space that stores an operating system of the electronic device, which may include, but is not limited to: windows (an operating system), linux (an operating system), android (an Android, a mobile operating system) system, IOS (a mobile operating system) system, etc., which are not limiting of the present disclosure; also stored in this memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor 101. In the present embodiment, the processor 101 loads and executes one or more instructions stored in the memory 102 to implement the failed cell screening method described in the above method embodiment.
Embodiments of the present disclosure also provide a computer readable storage medium having stored thereon at least one instruction or at least one program that when loaded by the processor 101 performs the failure cell screening method described above. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
According to the screening method designed by the related knowledge of the classical probability theory, the failed battery cell in the electrochemical energy storage system can be screened rapidly and accurately, the interference of artificial subjective factors can be avoided, good timeliness and accuracy are achieved, the screening efficiency of the failed battery cell can be improved remarkably, and the manual workload in the screening process is reduced;
according to the method and the device, the screened object data can be selected by setting the boundary parameters of data screening, the strictness of the screening judgment result can be adjusted by setting the relaxation margin of the final screening result, so that the strictness of the whole screening result can be adjusted, the parameters can be adjusted according to the actual energy storage system parameters and the screening standard, different screening requirements can be met, and the method and the device are more flexible and convenient to use.
In the description of the present disclosure, it should be understood that the azimuth or positional relationships indicated by the azimuth terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal", and "top, bottom", etc., are generally based on the azimuth or positional relationships shown in the drawings, merely to facilitate description of the present disclosure and simplify the description, and without being otherwise described, these azimuth terms do not indicate and imply that the apparatus or elements referred to must have a specific azimuth or be configured and operated in a specific azimuth, and thus should not be construed as limiting the scope of protection of the present disclosure.
It will be apparent to those skilled in the art from this disclosure that various other changes and modifications can be made which are within the scope of the invention as defined in the claims.
Claims (9)
1. The method for screening the failure battery cells is characterized by comprising the following steps of:
and (3) data acquisition: defining all single cells to be screened in an energy storage system as target cells and carrying out unique numbering to obtain cell data of the target cells, wherein the cell data comprise voltage time sequence data;
parameter setting: presetting a judgment parameter sigma;
and (3) data processing: normalizing the obtained voltage time series data to obtain normalized voltage data nor ；
Judging and selecting: normalized voltage data of each single cell nor Numerical comparison is carried out on the normalized voltage data and the judgment parameter sigma, and normalized voltage data which meet any moment is selected nor |>The single cell of sigma is used as a failure cell;
and (3) outputting results: and outputting the selected failure cell result.
2. The method of claim 1, wherein the parameter setting further comprises: presetting a relaxation margin vol_thr about a failure cell judgment result;
the data processing step further comprises: calculating the average voltage value vol of all target cells at the moment k mean,k Calculating the voltage value of the single cell j at the moment k and the average voltage value vol mean,k Deviation value e of (2) j,k ，k∈C k ，j∈C j Wherein C k Representing a set of all times of the die data, C j A set of unique numbers representing the target cells;
the judging and selecting steps specifically comprise:
a. judging whether the single cell j has normalized voltage data at any moment nor,k >sigma or data nor,k <-sigma, if yes, entering step b, otherwise skipping the single cell j, selecting the next single cell and repeating the step;
b. if the single cell j has normalized voltage data at any time nor,k >sigma, further judging whether the single cell j has a deviation value e at any moment j,k >And (c) classifying the single cell j into a set bat_up if the single cell j exists, otherwise skipping the single cell j, and selecting the next single cell to return to the step (a);
if the single cell j has normalized voltage data at any time nor,k <Sigma, further determining whether the single cell j has a bias value e at any time j,k <-vol_thr, if present, classifying the cell j into a set bat_down, otherwise skipping the cell j, selecting the next cell and returning to step a;
c. and c, repeating the steps a and b until the judgment of all the target cells is completed, and taking an intersection int of the set bat_up and the set bat_down, wherein the corresponding single cell in the intersection int is the invalid cell.
3. The method of claim 2, wherein the parameter setting further comprises: presetting an upper boundary parameter vol_up and a lower boundary parameter vol_down related to data screening; the method further comprises the following steps before the data processing:
data screening: comparing the voltage data of each moment in the voltage time series data of each target cell with the upper boundary parameter vol_up and the lower boundary parameter vol_down in a numerical comparison mode, judging whether the voltage data is larger than the upper boundary parameter vol_up or smaller than the lower boundary parameter vol_down, if yes, keeping the voltage data as effective data, otherwise, eliminating the voltage data as ineffective data;
and arranging the effective data of each target cell in time sequence to serve as the input data of the data processing step.
4. A method of screening for failed cells according to claim 2 or claim 3, wherein the data acquisition includes cell data further including current time series data;
the data processing further comprises, after the normalization processing:
processing the current time sequence data through a sign function sign to obtain corrected current data, and obtaining normalized voltage data nor Multiplying the corrected current data to obtain corrected voltage data pre ；
The obtained corrected voltage data pre Normalized voltage data corresponding to partial data greater than 0 in the data set nor Setting zero, and reserving the rest normalized voltage data nor As input data for the judgment selecting step.
5. The method according to claim 1, wherein in the parameter setting step, the parameter sigma is determined as the arithmetic square root of the normal distribution confidence a.
6. The method of claim 1, wherein the data processing normalizes the obtained voltage time series data by μ=0, σ=1.
7. A fail cell screening system, comprising:
the data acquisition module is used for defining all the single cells to be screened in the energy storage system as target cells and carrying out unique numbering, so as to acquire cell data of the target cells, wherein the cell data comprise voltage time sequence data;
the parameter setting module is used for presetting a judgment parameter sigma which is the arithmetic square root of the normal distribution confidence coefficient a;
a data processing module for time-series of the obtained voltagesThe data is normalized to obtain normalized voltage data nor ；
The judging and selecting module is used for normalizing voltage data of each single cell nor Numerical comparison is carried out on the normalized voltage data and the judgment parameter sigma, and normalized voltage data which meet any moment is selected nor |>The single cell of sigma is used as a failure cell;
and the result output module is used for outputting the selected failure cell result.
8. A computer device comprising a processor and a memory in signal connection, wherein the memory has stored therein at least one instruction or at least one program that when loaded by the processor performs the dead cell screening method of any of claims 1-6.
9. A computer readable storage medium having stored thereon at least one instruction or at least one program, wherein the at least one instruction or the at least one program when loaded by a processor performs the dead cell screening method of any of claims 1-6.
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