CN117723973A - Method and device for evaluating battery storage capacity loss, electronic equipment and medium - Google Patents
Method and device for evaluating battery storage capacity loss, electronic equipment and medium Download PDFInfo
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- 238000003860 storage Methods 0.000 title claims abstract description 190
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000012360 testing method Methods 0.000 claims abstract description 139
- 238000004088 simulation Methods 0.000 claims abstract description 56
- 238000011156 evaluation Methods 0.000 claims abstract description 34
- 230000014759 maintenance of location Effects 0.000 claims description 51
- 238000007599 discharging Methods 0.000 claims description 20
- 238000007600 charging Methods 0.000 claims description 19
- 238000010586 diagram Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000004891 communication Methods 0.000 description 8
- 238000013016 damping Methods 0.000 description 7
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 7
- 230000006870 function Effects 0.000 description 4
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 3
- 229910001416 lithium ion Inorganic materials 0.000 description 3
- 239000000178 monomer Substances 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010277 constant-current charging Methods 0.000 description 1
- 238000010281 constant-current constant-voltage charging Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012983 electrochemical energy storage Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y02E60/10—Energy storage using batteries
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Abstract
The application discloses a method, a device, electronic equipment and a medium for evaluating battery storage capacity loss, wherein the method comprises the following steps: acquiring loss data of storage capacity of the test battery at different test temperatures and different storage times; establishing an attenuation simulation model of the test battery according to the fitting result of the loss data; the storage capacity loss of the target battery is evaluated using the decay simulation model. Therefore, the problems of long evaluation period, limited evaluation dimension and the like of the battery storage capacity loss in the related technology are solved.
Description
Technical Field
The present disclosure relates to the field of battery storage capacity evaluation technologies, and in particular, to a method, an apparatus, an electronic device, and a medium for evaluating a battery storage capacity loss.
Background
Lithium ion batteries are electrochemical energy storage elements and are widely used in the fields of portable electronic equipment, electric automobiles, large-scale energy storage and the like. However, the battery capacity is easy to attenuate to different extent in the use process, and the exertion of the battery is directly affected.
In the related art, the evaluation method for the service life and the storage capacity of the lithium ion battery has the advantages of longer evaluation period, limited evaluation dimension and lower evaluation accuracy.
Disclosure of Invention
The application provides a method, a device, electronic equipment and a medium for evaluating battery storage capacity loss, which are used for solving the problems of long evaluation period, limited evaluation dimension and the like of the battery storage capacity loss in the related technology.
An embodiment of a first aspect of the present application provides a method for evaluating a loss of storage capacity of a battery, including the steps of: acquiring loss data of storage capacity of the test battery at different test temperatures and different storage times; establishing an attenuation simulation model of the test battery according to the fitting result of the loss data; and evaluating the storage capacity loss of the target battery by using the attenuation simulation model.
Optionally, in an embodiment of the present application, the building a damping simulation model of the test battery according to the fitting result of the loss data includes: establishing an attenuation simulation model; correcting model parameters of the attenuation simulation model by using the fitting result; and if the attenuation simulation model meets the preset conditions, stopping the correction of the model parameters.
Optionally, in an embodiment of the present application, the attenuation simulation model is:
f(x)＝ae bx ；
wherein x is storage time, f (x) is capacity retention rate, and a and b are model parameters.
Optionally, in an embodiment of the present application, the model parameter is a constant.
Optionally, in one embodiment of the present application, before building the attenuation simulation model of the test battery according to the fitting result of the loss data, the method includes: calculating a retention rate of the storage capacity according to the loss data; generating a scatter diagram according to the different test temperatures, the different storage times and the retention rate; and determining a fitting result of the loss data by using the scatter diagram.
Optionally, in one embodiment of the present application, the acquiring the loss data of the storage capacity of the test battery at different test temperatures and different storage times includes: obtaining the residual storage capacity of the test battery at different test temperatures and different storage times; and calculating the retention rate of the storage capacity according to the actual storage capacity and the residual storage capacity and generating the loss data according to the retention rate according to the actual storage capacity before the test of the test battery.
Optionally, in an embodiment of the present application, the testing according to the actual storage capacity of the test battery before the testing further includes: acquiring a target charging current or a target discharging current of the test battery; charging according to the target charging current or discharging according to the target discharging current until the voltage of the test battery reaches a preset voltage; and measuring and obtaining the actual storage capacity of the test battery before testing after standing for a preset period of time.
An embodiment of a second aspect of the present application provides an evaluation device for battery storage capacity loss, including: the acquisition module is used for acquiring loss data of the storage capacity of the test battery at different test temperatures and different storage times; the building module is used for building an attenuation simulation model of the test battery according to the fitting result of the loss data; and the evaluation module is used for evaluating the storage capacity loss of the target battery by using the attenuation simulation model.
Optionally, in one embodiment of the present application, the establishing module is further configured to: establishing an attenuation simulation model; correcting model parameters of the attenuation simulation model by using the fitting result; and if the attenuation simulation model meets the preset conditions, stopping the correction of the model parameters.
Optionally, in an embodiment of the present application, the attenuation simulation model is:
f(x)＝ae bx ；
wherein x is storage time, f (x) is capacity retention rate, and a and b are model parameters.
Optionally, in an embodiment of the present application, the model parameter is a constant.
Optionally, in one embodiment of the present application, the evaluation device of battery storage capacity loss further includes: a determining module for calculating a retention rate of the storage capacity from the loss data; generating a scatter diagram according to the different test temperatures, the different storage times and the retention rate; and determining a fitting result of the loss data by using the scatter diagram.
Optionally, in one embodiment of the present application, the obtaining module is further configured to: obtaining the residual storage capacity of the test battery at different test temperatures and different storage times; calculating the retention rate of the storage capacity according to the actual storage capacity and the residual storage capacity according to the actual storage capacity before the test of the test battery; and generating the loss data according to the retention rate.
Optionally, in one embodiment of the present application, the obtaining module is further configured to: acquiring a target charging current or a target discharging current of the test battery; charging according to the target charging current or discharging according to the target discharging current until the voltage of the test battery reaches a preset voltage; and measuring and obtaining the actual storage capacity of the test battery before testing after standing for a preset period of time.
An embodiment of a third aspect of the present application provides an electronic device, including: the battery storage capacity loss evaluation device 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 execute the battery storage capacity loss evaluation method according to the embodiment.
An embodiment of the fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program that is executed by a processor to perform the method of evaluating a battery storage capacity loss as described in the above embodiment.
Therefore, the application has at least the following beneficial effects:
according to the embodiment of the application, the test battery can be stored for different time at different temperatures, the storage time is taken as an independent variable, the attenuation simulation model of the battery storage capacity and the storage days at different temperatures is built, the complicated storage test is not needed, the capacity attenuation condition of the battery monomer can be evaluated without being limited by experimental environment and experimental conditions, a large amount of test resources and time are not needed to be occupied, the test cost can be greatly saved, the efficiency is improved, the battery capacity retention rate can be quickly and accurately obtained through the storage days, and the evaluation of the battery storage capacity is realized. Therefore, the technical problems of long evaluation period, limited evaluation dimension and the like in the related technology are solved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method of evaluating battery storage capacity loss according to an embodiment of the present application;
FIG. 2 is an exemplary diagram of an evaluation device for battery storage capacity loss provided according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The related art realizes the evaluation of the battery capacity by the following method:
the method comprises the following steps of 1, performing attenuation test on a battery to obtain battery attenuation test data, and analyzing the battery attenuation test data to obtain a battery attenuation test result; the method comprises the steps of collecting actual running data of a vehicle, and respectively analyzing the actual running data of the vehicle according to a plurality of working conditions to obtain actual battery attenuation conditions under each working condition; and respectively predicting the service life of the battery under each working condition according to the actual battery attenuation condition and the battery attenuation test result under each working condition. However, the related art 1 requires prediction using real vehicle data, and has the disadvantages of excessively high test cost and poor convenience.
Related art 2, obtaining working condition parameters of a battery; determining N life curve families of the battery core of the battery according to the working condition parameters; randomly extracting M life curves from the N life curves; selecting one life curve with the worst life condition from the M life curves; and continuing to randomly extract M life curves from the N life curves, selecting one life curve with the worst life condition in the M life curves until L life curves are obtained, and taking the L life curves as a life curve family of the battery. However, this approach has limited evaluation dimensions.
Related art 3, measuring and fitting an OCV curve of a battery under different SOCs; performing charge and discharge test according to 1C current before storage, and calibrating the actual capacity C before storage 0 The method comprises the steps of carrying out a first treatment on the surface of the The battery is adjusted to a specified SOC when the storage capacity is C before After sufficient standing, the voltage V before storage is measured 0 The method comprises the steps of carrying out a first treatment on the surface of the Storing the preset time length of the battery; taking out the battery after the storage is finished and measuring the voltage V 1 The method comprises the steps of carrying out a first treatment on the surface of the Calculating the theoretical state of charge X before storing 0 And the stored theoretical state of charge X 1 The method comprises the steps of carrying out a first treatment on the surface of the Discharge test, discharge electric quantity is C after The method comprises the steps of carrying out a first treatment on the surface of the Recharging and discharging test, discharge capacity is C 1 The method comprises the steps of carrying out a first treatment on the surface of the And calculating and judging the capacity loss in the storage process of the battery. However. The method has a longer evaluation period.
The following describes a method, an apparatus, an electronic device, and a medium for evaluating battery storage capacity loss according to embodiments of the present application with reference to the accompanying drawings. Aiming at the problems of long evaluation period and limited evaluation dimension in the related technology mentioned in the background technology center, the application provides an evaluation method of battery storage capacity loss, and in the method, the battery capacity attenuation condition under different storage days can be rapidly and accurately obtained through an established battery capacity attenuation simulation model. Therefore, the problems of long evaluation period, limited evaluation dimension and the like in the related technology are solved.
Specifically, fig. 1 is a flowchart of a method for evaluating a battery storage capacity loss according to an embodiment of the present application.
As shown in fig. 1, the method for evaluating the storage capacity loss of the battery includes the steps of:
in step S101, loss data of the storage capacity of the test battery at different test temperatures and different storage times is acquired.
The test battery, the test temperature and the storage time can be selected according to specific conditions, and the test battery in the following embodiments is exemplified by a 93Ah square lithium iron phosphate battery.
In an embodiment of the present application, obtaining loss data of storage capacity of a test battery at different test temperatures and different storage times includes: obtaining the residual storage capacity of the test battery at different test temperatures and different storage times; calculating the retention rate of the storage capacity according to the actual storage capacity and the residual storage capacity according to the actual storage capacity before the test of the test battery; loss data is generated based on the retention rate.
It can be understood that the embodiment of the application can acquire the residual storage capacity of the battery at different test temperatures and different storage times, calculate the retention rate of the storage capacity according to the actual storage capacity and the residual storage capacity of the test battery before testing, and generate capacity loss data for the test battery based on the retention rate.
For example, a 93Ah square lithium iron phosphate battery has an actual storage capacity of 92.1097 before storage, a capacity of 91.9677 after 28 days storage at 25 ℃, and a capacity retention of 99.84579%.
In the embodiment of the application, according to the actual storage capacity before the test of the test battery, the method further comprises the following steps: acquiring a target charging current or a target discharging current of a test battery; charging according to the target charging current or discharging according to the target discharging current until the voltage of the test battery reaches the preset voltage; and measuring the actual storage capacity of the test battery before the test after standing for a preset period of time.
Wherein the target charging current and the target discharging current may be 1C; the preset voltage and the preset time period can be set according to specific conditions, and are not limited.
It can be understood that, in the embodiment of the present application, the test battery may be charged and discharged according to the target charging current or the target discharging current until the voltage of the test battery reaches the preset voltage, and the actual storage capacity of the test battery is measured after the test battery is left for a preset period of time.
It should be noted that, after the test battery is charged and discharged and the battery is kept stand for a preset period of time, the pole piece inside the battery is fully contacted with the electrolyte, so that the pole piece is fully soaked, in the battery formation process, the surface of the pole piece can form a complete SEI film, the battery at the later stage can exert good electrical performance, and the consistency of the single batteries in the battery pack can be also improved. According to the embodiment of the application, the constant volume test is carried out before the test battery is stored, the test battery can be subjected to three-circle test of charge and discharge according to the target current, and then the actual storage capacity of the test battery is obtained, so that the accuracy of obtaining the actual storage capacity is kept.
For example, in the embodiment of the application, the 93Ah lithium iron phosphate battery can be subjected to 1C constant current charging to 2V, standing for 30min, the 93Ah lithium iron phosphate battery is subjected to 1C constant current constant voltage charging to 3.65V, and standing for 30min, so that the actual storage capacity of the 93Ah lithium iron phosphate battery is tested.
In step S102, a damping simulation model of the test battery is built according to the fitting result of the loss data.
It can be appreciated that the embodiment of the application can lose data to perform fitting to obtain a fitting result, and further establish a damping simulation model of the test battery according to the fitting result, and a specific model establishment process will be described in the following embodiment.
In the embodiment of the application, the method for establishing the attenuation simulation model of the test battery according to the fitting result of the loss data comprises the following steps: establishing an attenuation simulation model; correcting model parameters of the attenuation simulation model by using the fitting result; and if the attenuation simulation model meets the preset conditions, stopping the correction of the model parameters.
It can be understood that, according to the embodiment of the application, the model parameters of the attenuation simulation model can be corrected according to the fitting result, and the correction of the model parameters is stopped until the preset condition is met, so that the attenuation simulation model of the battery and the storage time under different temperatures is obtained. The preset condition may be that the capacity retention calculated using the attenuation simulation model has an error of 1% from the actual capacity retention.
In the embodiment of the application, the attenuation simulation model is:
f(x)＝ae bx ；
where x is the storage time, f (x) is the capacity retention, a, b are model parameters, and the model parameters are constants.
In the embodiment of the application, before the attenuation simulation model of the test battery is built according to the fitting result of the loss data, the method comprises the following steps: calculating a retention rate of the storage capacity according to the loss data; generating a scatter diagram according to different test temperatures, different storage times and different retention rates; fitting results of the loss data are determined using the scatter plot.
It can be understood that the embodiment of the application can calculate the retention rate of the storage capacity according to the loss data, generate a scatter diagram according to different test temperatures, different storage times and the retention rate under different test temperatures and storage times, and determine the fitting result of the loss data by using the scatter diagram.
For example, taking a test temperature of 25 ℃ as an example, the embodiment of the application can calculate the capacity retention rate of 25 ℃, generate a scatter diagram according to the number of days and the capacity retention rate, and determine fitting results of different storage days and the capacity retention rate at 25 ℃ according to the scatter diagram.
In step S103, the storage capacity loss of the target battery is evaluated using the decay simulation model.
The method of evaluating the battery storage capacity loss of the present application is described below by way of a specific example to conduct tests for different storage times at temperatures of 25 ℃,45 ℃ and 55 ℃, respectively.
1. 6 93Ah lithium iron phosphate batteries are selected in parallel, and the basic performance of the lithium iron phosphate batteries is measured. 1# and 2# were tested for 25 ℃ storage, 3# and 4# were tested for 45 ℃ storage, and 5# and 6# were tested for 55 ℃ storage.
2. These lithium batteries were subjected toConstant volume test before storage, charging and discharging the lithium ion batteries according to current of 1C for three circles, and respectively calibrating actual capacity C before storage 0 。
Discharging the 1C constant current of 6 batteries to 2V; standing for 30min; charging 6 batteries 1C to 3.65V at constant current and constant voltage; standing for 30min, and testing the actual storage capacity before storage.
3. Placing the No. 1 and No. 2 batteries at 25 ℃ and standing for a preset number of days; placing the 3# and 4# batteries at 45 ℃ and standing for a preset number of days; the 5# and 6# batteries were placed at 45 c and allowed to stand for a predetermined number of days.
4. And after the storage is finished, taking out the battery, and measuring the basic performance after the storage.
5. And performing a second storage test according to the charge and discharge of the 1C, and storing and recording data after the storage is finished.
6. The storage test was repeated at 28-day intervals.
In the test process, the voltage range of the battery is controlled to be 2.5V-3.65V, and if the voltage reaches the upper limit and the lower limit, the test of the step is stopped.
Multiple fits were performed using days of storage interval as an argument. The final 25 ℃ capacity fading model was: f (x) = 1.002210e -0.000267x Wherein x represents the number of days of storage, f (x) is the corresponding battery capacity retention rate, and the 45 ℃ and 55 ℃ capacity fade models are f (x) = -0.000000004x 3 +0.00001037x 2 -0.00115193 x= 0.99596000, where x represents the number of storage days and f (x) is the corresponding battery capacity retention rate.
According to the embodiment, the construction of the attenuation simulation model of the battery storage capacity can be obtained without occupying a large amount of measurement resources and time, the test cost can be greatly saved, the efficiency can be improved, the battery capacity retention rate can be quickly and accurately obtained only by the number of test days, the method has guiding significance in optimizing the long-term storage condition of the battery and prolonging the calendar life of the battery, in addition, the complicated storage test is not needed, the capacity attenuation condition of the battery can be evaluated without being limited by experimental environment and experimental condition, the error between a calculated value and an actual test value can be controlled within 1%, and the error value is shown in the following table.
The storage capacity is evaluated by using the attenuation simulation model, and the obtained error results are shown in the following table, wherein table 1 is the capacity retention rate of the 1# battery at 25 ℃ in different storage days and the capacity retention rate evaluated by the simulation model, table 2 is the capacity retention rate of the 2# battery at 25 ℃ in different storage days and the capacity retention rate evaluated by the simulation model, table 3 is the capacity retention rate of the 3# battery at 45 ℃ in different storage days and the capacity retention rate evaluated by the simulation model, and table 4 is the capacity retention rate of the 4# battery at 45 ℃ in different storage days and the capacity retention rate evaluated by the simulation model; table 5 evaluates capacity retention for 5# at 55℃for different days of storage versus the simulation model; table 6 evaluates capacity retention for 6# at 55 ℃ for different days of storage versus the simulation model.
TABLE 1
TABLE 2
TABLE 3 Table 3
TABLE 4 Table 4
TABLE 5
TABLE 6
According to the method for evaluating the battery storage capacity loss, which is provided by the embodiment of the application, the storage time is taken as an independent variable by carrying out storage on the test battery at different temperatures for different times, a damping simulation model of the battery storage capacity and the storage days at different temperatures is constructed, a complicated storage test is not needed, the capacity damping condition of the battery monomer can be evaluated without being limited by experimental environment and experimental conditions, a large amount of test resources and time are not needed to be occupied, the test cost can be greatly saved, the efficiency can be improved, the battery capacity retention rate can be rapidly and accurately obtained through the storage days, and the evaluation of the battery storage capacity is realized.
Next, an evaluation device of battery storage capacity loss according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 2 is a block schematic diagram of an evaluation device of battery storage capacity loss according to an embodiment of the present application.
As shown in fig. 2, the battery storage capacity loss evaluation device 10 includes: the system comprises an acquisition module 100, a building module 200 and an evaluation module 300.
The acquisition module 100 is used for acquiring loss data of the storage capacity of the test battery at different test temperatures and different storage times; the establishing module 200 is used for establishing an attenuation simulation model of the test battery according to the fitting result of the loss data; the evaluation module 300 is used to evaluate the storage capacity loss of the target battery using the decay simulation model.
In an embodiment of the present application, the establishing module is further configured to: establishing an attenuation simulation model; correcting model parameters of the attenuation simulation model by using the fitting result; and if the attenuation simulation model meets the preset conditions, stopping the correction of the model parameters.
In the embodiment of the application, the attenuation simulation model is:
f(x)＝ae bx ；
where x is storage time, d (x) is capacity retention rate, and a and b are model parameters.
In the embodiment of the present application, the model parameter is a constant.
In the embodiment of the present application, the apparatus 10 of the embodiment of the present application further includes: and a determining module.
The determining module is used for calculating the retention rate of the storage capacity according to the loss data; generating a scatter diagram according to different test temperatures, different storage times and different retention rates; fitting results of the loss data are determined using the scatter plot.
In the embodiment of the present application, the obtaining module 100 is further configured to: obtaining the residual storage capacity of the test battery at different test temperatures and different storage times; calculating the retention rate of the storage capacity according to the actual storage capacity and the residual storage capacity according to the actual storage capacity before the test of the test battery; loss data is generated based on the retention rate.
In the embodiment of the present application, the obtaining module 100 is further configured to: acquiring a target charging current or a target discharging current of a test battery; charging according to the target charging current or discharging according to the target discharging current until the voltage of the test battery reaches the preset voltage; and measuring the actual storage capacity of the test battery before the test after standing for a preset period of time.
It should be noted that the foregoing explanation of the embodiment of the method for evaluating the battery storage capacity loss is also applicable to the apparatus for evaluating the battery storage capacity loss of this embodiment, and will not be repeated here.
According to the assessment device for battery storage capacity loss, which is provided by the embodiment of the application, the storage time is used as an independent variable by carrying out storage on the test battery at different temperatures for different times, a damping simulation model of the battery storage capacity and the storage days at different temperatures is constructed, a complicated storage test is not needed, the capacity damping condition of the battery monomer can be assessed without being limited by experimental environment and experimental conditions, a large amount of test resources and time are not needed to be occupied, the test cost can be greatly saved, the efficiency can be improved, the battery capacity retention rate can be rapidly and accurately obtained through the storage days, and the assessment of the battery storage capacity is realized.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
memory 301, processor 302, and a computer program stored on memory 301 and executable on processor 302.
The processor 302 implements the method of evaluating the battery storage capacity loss provided in the above-described embodiment when executing the program.
Further, the electronic device further includes:
a communication interface 303 for communication between the memory 301 and the processor 302.
A memory 301 for storing a computer program executable on the processor 302.
The memory 301 may comprise a high-speed RAM memory or may further comprise a non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 301, the processor 302, and the communication interface 303 are implemented independently, the communication interface 303, the memory 301, and the processor 302 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 301, the processor 302, and the communication interface 303 are integrated on a chip, the memory 301, the processor 302, and the communication interface 303 may perform communication with each other through internal interfaces.
The processor 302 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method of evaluating battery storage capacity loss.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with another embodiment, if implemented in hardware, may be implemented with a combination of any one or more of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Claims (10)
1. A method of evaluating a loss of storage capacity of a battery, comprising the steps of:
acquiring loss data of storage capacity of the test battery at different test temperatures and different storage times;
establishing an attenuation simulation model of the test battery according to the fitting result of the loss data;
and evaluating the storage capacity loss of the target battery by using the attenuation simulation model.
2. The method of claim 1, wherein the creating a decay simulation model of the test battery from the fit of the loss data comprises:
establishing an attenuation simulation model;
correcting model parameters of the attenuation simulation model by using the fitting result;
and if the attenuation simulation model meets the preset conditions, stopping the correction of the model parameters.
3. The method of claim 2, wherein the attenuation simulation model is:
f(x)＝ae bx ；
wherein x is storage time, f (x) is capacity retention rate, and a and b are model parameters.
4. A method according to claim 2 or 3, wherein the model parameters are constants.
5. The method of claim 1, comprising, prior to building a simulation model of the decay of the test cell based on the fit of the loss data:
calculating a retention rate of the storage capacity according to the loss data;
generating a scatter diagram according to the different test temperatures, the different storage times and the retention rate;
and determining a fitting result of the loss data by using the scatter diagram.
6. The method of claim 1, wherein the acquiring data of the loss of storage capacity of the test battery at different test temperatures and different storage times comprises:
obtaining the residual storage capacity of the test battery at different test temperatures and different storage times;
calculating the retention rate of the storage capacity according to the actual storage capacity and the residual storage capacity according to the actual storage capacity before the test of the test battery;
and generating the loss data according to the retention rate.
7. The method of claim 6, wherein said testing the actual storage capacity prior to testing according to said test battery further comprises:
acquiring a target charging current or a target discharging current of the test battery;
charging according to the target charging current or discharging according to the target discharging current until the voltage of the test battery reaches a preset voltage;
and measuring and obtaining the actual storage capacity of the test battery before testing after standing for a preset period of time.
8. An evaluation device of battery storage capacity loss, characterized by comprising:
the acquisition module is used for acquiring loss data of the storage capacity of the test battery at different test temperatures and different storage times;
the building module is used for building an attenuation simulation model of the test battery according to the fitting result of the loss data;
and the evaluation module is used for evaluating the storage capacity loss of the target battery by using the attenuation simulation model.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of assessing battery storage capacity loss as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for implementing the method of evaluating a battery storage capacity loss according to any one of claims 1-7.
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| CN202311738628.7A CN117723973A (en) | 2023-12-15 | 2023-12-15 | Method and device for evaluating battery storage capacity loss, electronic equipment and medium |
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