CN-122017590-A - Method and device for determining battery expansion force, storage medium, electronic device and program product
Abstract
The application discloses a method, a device, a storage medium, an electronic device and a program product for determining battery expansion force, which relate to the technical field of battery expansion force prediction and comprise the steps of obtaining index data corresponding to battery expansion force calculation indexes from battery operation data, wherein the battery expansion force calculation indexes at least comprise a battery health state SOH index, a temperature index of a cyclic aging process and a temperature index of a storage aging process, and the index data at least comprise first index data of the SOH index, second index data of the temperature index of the cyclic aging process and third index data of the temperature index of the storage aging process; the expansion force prediction model is used for calculating the first index data, the second index data and the third index data to obtain predicted battery expansion force, so that the technical problem that the reliability of the battery is low due to the fact that the battery expansion force cannot be effectively estimated is solved, the effective estimation of the battery expansion force is achieved, and the reliability of the battery is further improved.
Inventors
- GAO PO
- MA RUIJUN
Assignees
- 中创新航科技集团股份有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260210
Claims (13)
- 1. A method of determining battery expansion force, comprising: Acquiring index data corresponding to a battery expansion force calculation index from battery operation data, wherein the battery expansion force calculation index at least comprises a battery health state SOH index, a temperature index of a cyclic aging process and a temperature index of a storage aging process, and the index data at least comprises first index data of the SOH index, second index data of the temperature index of the cyclic aging process and third index data of the temperature index of the storage aging process; And calculating the first index data, the second index data and the third index data by using an expansion force prediction model to obtain predicted battery expansion force.
- 2. The method of determining a battery expansion force according to claim 1, wherein calculating the first index data, the second index data, and the third index data using an expansion force prediction model to obtain a predicted battery expansion force comprises: Determining a calculation function corresponding to the expansion force prediction model, wherein the calculation function at least comprises a first sub-function corresponding to the SOH index, a second sub-function of the temperature index of the cyclic aging process and a third sub-function of the temperature index of the stored aging process; and calculating the first index data, the second index data and the third index data based on the calculation function to obtain the predicted battery expansion force.
- 3. The method of determining the battery expansion force according to claim 2, wherein calculating the first index data, the second index data, and the third index data based on the calculation function, to obtain the predicted battery expansion force, comprises: substituting the first index data into the first sub-function to obtain a first function value of the first sub-function, substituting the second index data into the second sub-function to obtain a second function value of the second sub-function, and substituting the third index data into the third sub-function to obtain a third function value of the third sub-function; And obtaining the predicted battery expansion force based on the first function value, the second function value and the third function value.
- 4. The method of determining battery expansion force according to claim 3, wherein the second sub-function is determined based on a temperature coefficient of the cyclic aging process and a number of cycles of the cyclic aging process, substituting the second index data into the second sub-function to obtain a second function value of the second sub-function, comprising: Acquiring the current cycle number from the second index data; and calculating the temperature coefficient of the cyclic aging process and the current cycle number by using the second sub-function to obtain the second function value.
- 5. The method of determining battery expansion force according to claim 4, wherein the second sub-function is expressed as f2=k2×lnc, k2 is a temperature coefficient of the cyclic aging process, and c is the current number of cycles.
- 6. The method of determining battery expansion force according to claim 3, wherein the third sub-function is determined based on a temperature coefficient of the stored aging process and a stored time of the stored aging process, wherein substituting the third index data into the third sub-function to obtain a third function value of the third sub-function includes: acquiring the current storage time from the third index data; and calculating the temperature coefficient of the storage aging process and the current storage time by using the third sub-function to obtain the third function value.
- 7. The method of claim 6, wherein the third sub-function is expressed as f3=k3× lnt, k3 is a temperature coefficient of the storage aging process, and t is the current storage time.
- 8. The method of determining a battery expansion force according to claim 3, wherein the calculating function further includes a constant term, and deriving the predicted battery expansion force based on the first function value, the second function value, and the third function value includes: obtaining a target constant value of the constant item from a preset constant; And obtaining the predicted battery expansion force based on the first function value, the second function value, the third function value and the target constant value.
- 9. The method of determining battery expansion force according to claim 2, characterized in that the method further comprises: acquiring historical index data corresponding to the battery expansion force calculation index at a historical temperature and historical battery expansion force corresponding to the historical temperature from battery historical operation data; Substituting the historical index data into an initial function of the expansion force prediction model by taking the historical battery expansion force as a historical function value of the initial function of the expansion force prediction model to obtain a function equation set between an initial function coefficient of the initial function and the historical temperature, wherein the initial function coefficient comprises an initial temperature coefficient of the cyclic aging process and an initial temperature coefficient of the storage aging process, and the function equation set comprises a first sub-equation between the initial temperature coefficient of the cyclic aging process and the historical temperature and a second sub-equation between the initial temperature coefficient of the storage aging process and the historical temperature; obtaining a temperature coefficient of the cyclic aging process and a temperature coefficient of the storage aging process according to the solving result of the function equation set; And updating the initial function based on the temperature coefficient of the cyclic aging process and the temperature coefficient of the storage aging process to obtain the calculation function.
- 10. A battery expansion force determination device, characterized by comprising: The system comprises a determination module, a storage aging process and a battery operation module, wherein the determination module is used for acquiring index data corresponding to a battery expansion force calculation index from battery operation data, and the battery expansion force calculation index at least comprises a battery health state SOH index, a temperature index of the circulation aging process and a temperature index of the storage aging process, and the index data at least comprises first index data of the SOH index, second index data of the temperature index of the circulation aging process and third index data of the temperature index of the storage aging process; and the obtaining module is used for calculating the first index data, the second index data and the third index data by using an expansion force prediction model to obtain predicted battery expansion force.
- 11. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program when run performs the method of any one of claims 1 to 9.
- 12. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of claims 1 to 9 by means of the computer program.
- 13. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method as claimed in any one of claims 1 to 9.
Description
Method and device for determining battery expansion force, storage medium, electronic device and program product Technical Field The present application relates to the field of battery expansion force prediction technology, and in particular, to a method, an apparatus, a storage medium, an electronic apparatus, and a program product for determining battery expansion force. Background Currently, in the context of rapid development of lithium battery technology, monitoring of the swelling force of a battery under different operating conditions has become a key to ensuring battery safety and extending service life. Currently, conventional monitoring means such as physical contact measurement and optical image analysis can only meet the basic monitoring requirement on the expansion force of the battery, and cannot be effectively observed under complex scenes, for example, when the battery is faced with the cross working condition that the ambient temperature fluctuates greatly or the state of charge changes frequently, the battery often needs to work in extreme temperature changes and rapid state of charge conversion, which leads to significant changes in the rate and properties of internal chemical reactions, and the expansion force of the battery is not easy to monitor. In addition, the traditional measurement methods have long test period and strong dependence on environmental conditions, and the monitoring data are single, so that the battery expansion force under complex working conditions can not be effectively estimated, and the reliability of the battery is affected. Therefore, in the related art, there is a technical problem that the battery reliability is not high due to the inability to effectively evaluate the battery swelling force. Aiming at the technical problem that the battery reliability is not high due to the fact that the battery expansion force cannot be effectively evaluated in the related art, an effective solution is not proposed. Disclosure of Invention The embodiment of the application provides a method, a device, a storage medium, an electronic device and a program product for determining battery expansion force, which at least solve the technical problem that the reliability of a battery is low because the battery expansion force cannot be effectively evaluated in the related art. According to one embodiment of the application, the method for determining the battery expansion force comprises the steps of obtaining index data corresponding to battery expansion force calculation indexes from battery operation data, wherein the battery expansion force calculation indexes at least comprise a battery health state SOH index, a temperature index of a cyclic aging process and a temperature index of a storage aging process, the index data at least comprise first index data of the SOH index, second index data of the temperature index of the cyclic aging process and third index data of the temperature index of the storage aging process, and calculating the first index data, the second index data and the third index data by using an expansion force prediction model to obtain predicted battery expansion force. In one exemplary embodiment, the first index data, the second index data and the third index data are calculated by using an expansion force prediction model to obtain predicted battery expansion force, and the method comprises the steps of determining a calculation function corresponding to the expansion force prediction model, wherein the calculation function at least comprises a first sub-function corresponding to the SOH index, a second sub-function of a temperature index of the cyclic aging process and a third sub-function of a temperature index of the storage aging process, and calculating the first index data, the second index data and the third index data based on the calculation function to obtain the predicted battery expansion force. In an exemplary embodiment, calculating the first index data, the second index data, and the third index data based on the calculation function to obtain the predicted battery expansion force includes substituting the first index data into the first sub-function to obtain a first function value of the first sub-function, substituting the second index data into the second sub-function to obtain a second function value of the second sub-function, and substituting the third index data into the third sub-function to obtain a third function value of the third sub-function, and obtaining the predicted battery expansion force based on the first function value, the second function value, and the third function value. In an exemplary embodiment, the second sub-function is determined based on the temperature coefficient of the cyclic aging process and the number of cycles of the cyclic aging process, and the second index data is substituted into the second sub-function to obtain a second function value of the second sub-function, and the second function value