CN118244144B - Method, device, medium and product for evaluating difference of internal resistance and capacity of battery - Google Patents
Method, device, medium and product for evaluating difference of internal resistance and capacity of battery Download PDFInfo
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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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving 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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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a method, a device, a medium and a product for evaluating difference of internal resistance and capacity of a battery, and relates to the technical field of new energy. The method comprises the following steps: acquiring current data and voltage data of a plurality of series-connected battery cells in a battery system; obtaining a voltage curve of each battery cell according to the voltage data and the corresponding time; determining the difference between the battery cells according to the voltage curve and the current data of the battery cells; the difference includes an internal resistance difference and a capacity difference. The invention can improve the accuracy of the evaluation of the inconsistency of the battery cells in the battery system.
Description
Technical Field
The invention relates to the technical field of new energy, in particular to a method, a device, a medium and a product for evaluating the difference of internal resistance and capacity of a battery.
Background
In order to reduce carbon dioxide emission, pushing energy structure transformation and improving energy utilization efficiency are necessary paths, wherein the core of the energy structure transformation strategy is to reduce dependence on traditional fossil energy, reduce use of high-carbon energy such as coal and the like, and accelerate utilization, development and utilization of renewable energy such as solar energy, wind energy, water energy and the like. The novel energy storage formed by the lithium ion battery cells becomes a main form of industry development.
In the energy storage system, a plurality of electric cores are connected in series, and because of different production, manufacture and use environments, the electric cores are naturally inconsistent and are more and more obvious in use, but the accurate evaluation of the difference between the electric cores is an industrial problem, so that the inconsistency of the electric cores in the battery system is accurately evaluated, and the method becomes an important basis for the fault diagnosis and maintenance of the battery system.
Disclosure of Invention
The invention aims to provide a method, a device, a medium and a product for evaluating the difference of internal resistance and capacity of a battery, which can improve the accuracy of evaluating the inconsistency of electric cores in a battery system.
In order to achieve the above object, the present invention provides the following solutions:
a battery internal resistance and capacity difference evaluation method, the method comprising:
acquiring current data and voltage data of a plurality of series-connected battery cells in a battery system;
Obtaining a voltage curve of each battery cell according to the voltage data and the corresponding time;
Determining the difference between the battery cells according to the voltage curve and the current data of the battery cells; the difference includes an internal resistance difference and a capacity difference.
Optionally, the determining process of the internal resistance difference specifically includes:
calculating the slope of the voltage curve of each cell at different voltage data;
determining corresponding voltage data when the slope is equal to a preset slope threshold value, and obtaining turning voltage points of voltage curves of the battery cells;
calculating the absolute value of the voltage difference between the turning voltage point of the voltage curve of each cell and each turning voltage point of the highest voltage curve;
and calculating the internal resistance difference between each battery cell and the battery cell corresponding to the highest single voltage according to the absolute value of the voltage difference and the current data.
Optionally, the calculation formula of the internal resistance difference is:
；
Wherein, Is the difference of internal resistance; Is the absolute value of the voltage difference; I is the cell number, and n is the total number of cells.
Optionally, the determining process of the capacity difference specifically includes:
Moving the voltage curve of each cell along the direction of the voltage data amplitude by the absolute value of the voltage difference value to obtain a voltage curve after the up-and-down movement of each cell;
calculating the slope of the voltage curve at different voltage data after the up-and-down movement of each cell to obtain the slope after the up-and-down movement;
determining the time corresponding to the time when the slope after the up-down movement is equal to the preset slope threshold value, and obtaining the turning voltage point time of the voltage curve after the up-down movement of each cell;
calculating the absolute value of the time difference between the turning voltage point time of the voltage curve after the battery cells move up and down and the time of each turning voltage point of the highest voltage curve;
Moving the voltage curve of each cell up and down along the direction of the time by the absolute value of the time difference value to obtain a voltage curve of each cell after left and right movement;
Determining the time corresponding to the last voltage point of the voltage curve after the left and right movement of each battery cell, and obtaining the first time;
Determining the time corresponding to the last voltage point of the highest voltage curve to obtain a second time;
and calculating the capacity difference between each battery cell and the battery cell corresponding to the highest monomer voltage according to the first time, the second time and the current data.
Optionally, the calculation formula of the capacity difference is:
；
Wherein, Is the difference in capacity; t isTo the point ofTime of (2); the time corresponding to the last voltage point of the voltage curve after the left and right movement of the battery cell; the time corresponding to the last voltage point of the highest voltage curve; Is that AndCurrent data over time; i is the number of the battery cell; n is the total number of the electric cores; the time corresponding to the last voltage point of the voltage curve after the ith cell moves left and right.
A computer apparatus, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the computer program to implement the method of evaluating internal resistance and capacity differences of a battery as described in any one of the above.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the battery internal resistance and capacity difference evaluation method of any one of the above.
A computer program product comprising a computer program which when executed by a processor implements the method of evaluating internal resistance and capacity differences of a battery as claimed in any one of the preceding claims.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
Based on the similarity of voltage curves, the internal resistance difference and the capacity difference between the battery cells can be obtained without complex time sequence series processing, and the method is effective and accurate in calculation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for evaluating the difference between internal resistance and capacity of a battery according to embodiment 1 of the present invention.
Fig. 2 is a schematic diagram of the voltage and current curves of the cell of the present invention.
FIG. 3 is a graph showing the slope of the voltage curve according to the present invention.
FIG. 4 is a schematic diagram of characteristic points of a voltage curve according to the present invention.
Fig. 5 is a schematic diagram of the first translation process of the voltage 2 according to the present invention.
Fig. 6 is a schematic diagram of the second translation process of the voltage 2 according to the present invention.
Fig. 7 is a schematic diagram of a voltage and current measurement circuit in a battery system.
Fig. 8 is an internal structural view of the computer device.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a method, a device, a medium and a product for evaluating the difference of internal resistance and capacity of a battery, which aim to improve the accuracy of evaluating the inconsistency of cells in a battery system. The lithium ion battery cell is suitable for new energy industries, including devices and equipment using lithium ion battery cells, such as energy storage battery systems, new energy automobile battery systems and the like.
According to the similarity of voltage curves mentioned in literature Da, chen Haozhou, li Xun, liu Yifan, huang Peng, a cloud charging data-based lithium battery pack consistency evaluation method [ J/OL ]. Electric network technology, https:// doi.org/10.13335/j.1000-3673.pst.2021.0308, the invention can obtain internal resistance difference and capacity difference between battery cores without complex time sequence series processing, and the similarity of voltage curves is an assumption. This assumption holds that if there is no inconsistency between the cells, i.e. a complete consistency, the voltage curves of the individual cells should be completely coincident, whereas in practice there is necessarily an inconsistency between the cells, the voltage curves will not coincide, a lateral and longitudinal shift will occur, but the overall shape of the cell curves is unchanged, and the voltage curves between the different cells can be brought to approximately coincidence by translation. The invention is based on this assumption, and the examples in the embodiments also demonstrate the establishment of this assumption.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1
As shown in fig. 1, the battery internal resistance and capacity difference evaluation method in the present embodiment includes:
Step S1: current data and voltage data of a plurality of series-connected cells in a battery system are obtained.
In practical application, the real-time voltage and current of each battery in series connection in the battery system can be acquired by a battery management system, a battery test device and the like. As shown in fig. 2, the voltage curves and the current curves of the three series-connected battery cells are respectively generated during the charging process.
Step S2: and obtaining a voltage curve of each battery cell according to the voltage data and the corresponding time.
Step S3: determining the difference between the battery cells according to the voltage curve and the current data of the battery cells; the difference includes an internal resistance difference and a capacity difference.
The determination process of the internal resistance difference specifically comprises the following steps:
Step S3.1.1: and calculating the slope of the voltage curve of each cell at different voltage data.
Step S3.1.2: and determining corresponding voltage data when the slope is equal to a preset slope threshold value, and obtaining turning voltage points of the voltage curves of the battery cells.
In practical application, calculating the slope of each cell voltage curve and setting a slope turning thresholdRecording a corresponding time point when the slope of the voltage curve is equal to the slope turning threshold, wherein the corresponding voltage value at the time point is a turning voltage point. The setting of the slope turning threshold value needs to ensure that the number of turning voltage points is more than or equal to 2.
As shown in fig. 3 and 4, when the voltage slope is calculated on the curve of the voltage 1, the slope turns over the threshold=0.001, GiveFor a time corresponding to =0.001, 3 voltage turning points can be found. Calculating the voltage slope of all the voltage curves according to the turning threshold value=0.001, And can obtain various voltage curvesTime corresponding to=0.001, and further determining voltage turning points of the respective voltage curves.
Step S3.1.3: and calculating the absolute value of the voltage difference between the turning voltage point of the voltage curve of each cell and each turning voltage point of the highest voltage curve.
In practical application, calculating absolute difference between each turning voltage point of each voltage curve and each turning voltage point of the highest voltage curveK is the number of turning voltage points and calculates the average value。
As shown in fig. 2,3 voltage breakpoints of the voltage 2 are calculated, and the average value of the differences between each breakpoint of the voltage 2 and each breakpoint of the voltage 1 is calculatedIs 0.02V.
Step S3.1.4: and calculating the internal resistance difference between each battery cell and the battery cell corresponding to the highest single voltage according to the absolute value of the voltage difference and the current data.
Specifically, the calculation formula of the internal resistance difference is:
。
Wherein, Is the difference of internal resistance; Is the absolute value of the voltage difference; Is current data; i refers to the number of each cell, including the cell corresponding to the highest cell voltage, except for the cases where Δu=0 and Δr=0; n is the total number of cells and since the cells are in series, the current I of all cells is equal.
As a specific embodiment, the internal resistance difference may be a ratio of an average value to a current:
。
When (when) =0.02V，The internal resistances of the battery cell 1 and the battery cell 2 are different=0.02/61=0.0003 Ω, i.e. 0.3mΩ.
The capacity difference determining process specifically includes:
Step S3.2.1: and moving the voltage curve of each cell along the direction of the voltage data amplitude by the absolute value of the voltage difference value to obtain the voltage curve of each cell after up-and-down movement.
Step S3.2.2: and calculating the slope of the voltage curve at different voltage data after the up-and-down movement of each battery cell to obtain the slope after the up-and-down movement.
Step S3.2.3: and determining the time corresponding to the time when the gradient after the up-and-down movement is equal to the preset gradient threshold value, and obtaining the turning voltage point time of the voltage curve after the up-and-down movement of each cell.
Step S3.2.4: and calculating the absolute value of the time difference between the turning voltage point time of the voltage curve after the battery cells move up and down and the time of each turning voltage point of the highest voltage curve.
In practical application, each voltage curve is translated upwards or downwards by a translation distance ofK is the number of turning voltage points or. After the translation, continuously determining the time difference between each turning voltage point of each voltage curve and each turning voltage point of the highest voltage curveK is the number of turning voltage points and calculates the average value。
Translating the voltage 2 curve upward=0.02V, resulting in a curve after the first translation of voltage 2, as shown in fig. 5. After the translation, the calculation is carried out to obtain=100。
The curve after the first shift of the voltage 2 is shifted by 100 points to the right, so as to obtain the curve after the second shift of the voltage 2, and it can be found that the curve almost coincides with the curve of the voltage 1 at this time, as shown in fig. 6. At this time, the time corresponding to the last voltage point of the curve after the voltage 2 is translated for the second timeTime corresponding to last voltage point of voltage curve 1 =3730=3820。
Step S3.2.5: and moving the voltage curve of each cell after up and down movement by the absolute value of the time difference value along the direction of the time to obtain the voltage curve of each cell after left and right movement.
Step S3.2.6: and determining the time corresponding to the last voltage point of the voltage curve after the left and right movement of each battery cell, and obtaining the first time.
Step S3.2.7: and determining the time corresponding to the last voltage point of the highest voltage curve to obtain the second time.
In practical application, each voltage curve is shifted right or left by a shift distance ofK is the number of turning voltage points or. After the translation, continuously determining the time corresponding to the last voltage point of each voltage curveK is the number of turning voltage points, and the last voltage point of the highest voltage curve corresponds to the time。
Step S3.2.8: and calculating the capacity difference between each battery cell and the battery cell corresponding to the highest monomer voltage according to the first time, the second time and the current data.
Specifically, the calculation formula of the capacity difference is:
。
Wherein, Is the difference in capacity; t isTo the point ofTime of (2); the time corresponding to the last voltage point of the voltage curve after the left and right movement of the battery cell; the time corresponding to the last voltage point of the highest voltage curve; Is that AndCurrent data over time; i is the number of the battery cell; n is the total number of the electric cores; the time corresponding to the last voltage point of the voltage curve after the ith cell moves left and right.
The capacity difference between the battery cell 1 and the battery cell 2 is as follows:==1.67Ah。
In practical application, the specific application process of the battery internal resistance and capacity difference evaluation method is as follows:
Step 1: current and voltage operating data for the series battery system is obtained. As shown in fig. 7.
Step 2: and searching for a corresponding turning voltage point at a slope turning point existing in each cell voltage curve.
Specifically, the number of turning voltage points is not fixed, but may be 1,2 or more, according to the shape of the voltage curve. In addition, the type of battery (ternary and lithium iron phosphate, etc.) has an influence on the determination of the turning point.
Step 3: and determining the absolute difference value and the average value of each turning voltage point of each voltage curve and each turning voltage point of the highest voltage curve.
Specifically, as shown in fig. 2, three voltage curves of voltage 1, voltage 2 and voltage 3 exist in fig. 2, wherein the voltage 1 curve is at the uppermost, and the value of the voltage 1 curve is always the maximum in the charging process, and the voltage 1 is the highest voltage curve. The voltage curve is acquired through a battery management system or a test system.
Step 4: and determining the internal resistance difference between each battery cell and the battery cell corresponding to the highest monomer voltage.
Specifically, as shown in fig. 2, the value of the voltage 1 is the highest single voltage in the three voltage curves, and the cell corresponding to the curve is the cell corresponding to the highest voltage curve.
Step 5: after each voltage curve is translated upwards or downwards, the time difference and the average value of each turning voltage point of each voltage curve and each turning voltage point of the highest voltage curve are determined.
Step 6: and shifting each voltage curve to the right or left, and determining the time corresponding to the last voltage point of each voltage curve and the time corresponding to the last voltage point of the highest voltage curve.
Step 7: and determining the capacity difference between each cell and the cell corresponding to the highest monomer voltage.
In the embodiment of the present invention, the distances are calculated by using the corresponding raw data in fig. 2, and fig. 3 and fig. 4 are both the results of calculation based on the data in fig. 2.
Example 2
A computer apparatus, comprising: the memory, the processor, and the computer program stored on the memory and executable on the processor, the processor executes the computer program to implement the battery internal resistance and capacity difference evaluation method in embodiment 1.
Example 3
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the battery internal resistance and capacity difference evaluation method in embodiment 1.
Example 4
A computer program product comprising a computer program which when executed by a processor implements the method of battery internal resistance and capacity difference assessment of embodiment 1.
Example 5
A computer device, which may be a database, may have an internal structure as shown in fig. 8. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store the pending transactions. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement the battery internal resistance and capacity difference evaluation method in embodiment 1.
It should be noted that, the object information (including, but not limited to, object device information, object personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) related to the present invention are both information and data authorized by the object or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as Static Random access memory (Static Random access memory AccessMemory, SRAM) or dynamic Random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (4)
1. A battery internal resistance and capacity difference evaluation method, characterized by comprising:
acquiring current data and voltage data of a plurality of series-connected battery cells in a battery system;
Obtaining a voltage curve of each battery cell according to the voltage data and the corresponding time;
Determining the difference between the battery cells according to the voltage curve and the current data of the battery cells; the difference includes an internal resistance difference and a capacity difference;
The determination process of the internal resistance difference specifically comprises the following steps:
calculating the slope of the voltage curve of each cell at different voltage data;
determining corresponding voltage data when the slope is equal to a preset slope threshold value, and obtaining turning voltage points of voltage curves of the battery cells;
calculating the absolute value of the voltage difference between the turning voltage point of the voltage curve of each cell and each turning voltage point of the highest voltage curve;
according to the absolute value of the voltage difference and the current data, calculating the internal resistance difference between each cell and the cell corresponding to the highest single voltage;
the calculation formula of the internal resistance difference is as follows:
；
Wherein, Is the difference of internal resistance; Is the absolute value of the voltage difference; i is the number of the battery cells, and n is the total number of the battery cells;
The capacity difference determining process specifically includes:
Moving the voltage curve of each cell along the direction of the voltage data amplitude by the absolute value of the voltage difference value to obtain a voltage curve after the up-and-down movement of each cell;
calculating the slope of the voltage curve at different voltage data after the up-and-down movement of each cell to obtain the slope after the up-and-down movement;
determining the time corresponding to the time when the slope after the up-down movement is equal to the preset slope threshold value, and obtaining the turning voltage point time of the voltage curve after the up-down movement of each cell;
calculating the absolute value of the time difference between the turning voltage point time of the voltage curve after the battery cells move up and down and the time of each turning voltage point of the highest voltage curve;
Moving the voltage curve of each cell up and down along the direction of the time by the absolute value of the time difference value to obtain a voltage curve of each cell after left and right movement;
Determining the time corresponding to the last voltage point of the voltage curve after the left and right movement of each battery cell, and obtaining the first time;
Determining the time corresponding to the last voltage point of the highest voltage curve to obtain a second time;
calculating capacity difference between each battery cell and the battery cell corresponding to the highest monomer voltage according to the first time, the second time and the current data;
The calculation formula of the capacity difference is as follows:
；
Wherein, Is the difference in capacity; t isTo the point ofTime of (2); the time corresponding to the last voltage point of the voltage curve after the left and right movement of the battery cell; the time corresponding to the last voltage point of the highest voltage curve; Is that AndCurrent data over time; i is the number of the battery cell; n is the total number of the electric cores; the time corresponding to the last voltage point of the voltage curve after the ith cell moves left and right.
2.A computer apparatus, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of evaluating internal resistance and capacity differences of a battery as claimed in claim 1.
3. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the battery internal resistance and capacity difference evaluation method according to claim 1.
4. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method for evaluating the internal resistance and capacity difference of a battery according to claim 1.
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