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Parameter identification method and device, storage medium and computer equipment

A technology of parameter identification and parameter library, which is applied in the field of batteries, can solve problems such as poor robustness, unstable model system, and high risk, and achieve the effects of ensuring stability, ensuring long-term prediction accuracy, and improving robustness

Active Publication Date: 2021-06-11
杭州华塑科技股份有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

Regardless of large deviations in battery parameters, polarization voltage, SOC, and capacity, the entire battery identification will diverge, the model system is unstable, and the robustness is poor
This is also the main reason why the online parameter identification method cannot be applied to actual projects, and the risk is too high

Method used

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  • Parameter identification method and device, storage medium and computer equipment
  • Parameter identification method and device, storage medium and computer equipment
  • Parameter identification method and device, storage medium and computer equipment

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Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] The purpose of the present invention is to provide a parameter identification method, device, storage medium and computer equipment, by using the parameters obtained from the target charging and discharging data in the target state to deduce the target parameter data to ensure the stability of the battery model and improve the performance of the algorithm. Robustness, while ensuring the accuracy of long-term prediction of battery parameters.

[0057] In...

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Abstract

The invention discloses a parameter identification method and device, a storage medium and computer equipment. The parameter identification method comprises the steps: acquiring charging and discharging data and preset conditions; according to the preset condition, screening target charging and discharging data in a target state from the charging and discharging data; according to the target charging and discharging data, obtaining target data through data processing; acquiring current data in a parameter library; and according to the current data and the target data, constructing a correction coefficient model, and obtaining target parameter data. According to the technical scheme provided by the invention, the target parameter data is obtained by deducing the parameters obtained by using the target charging and discharging data in the target state so that the stability of the battery model is ensured, the robustness of the algorithm is improved, and the long-term prediction accuracy of the battery parameters is ensured.

Description

technical field [0001] The present invention relates to the field of battery technology, in particular to a parameter identification method, device, storage medium and computer equipment. Background technique [0002] Battery state estimation has always been a problem in the battery industry, such as using the battery's state of charge (State of charge, SOC) to observe the remaining power, using the battery's state of health (State Of Health, SOH) to monitor battery life, and using the battery's functional state (State of Function, SOF) to test battery charging and discharging functions, etc. These state estimation methods can be roughly divided into three categories, one is based on characterization parameters, such as using internal resistance changes to characterize SOH, and using open circuit voltage to characterize SOC; the second is model-based methods, which use the battery model as an opportunity , correct the state quantity through the relationship between the mode...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367
CPCG01R31/367
Inventor 杨冬强李明星罗明杰谢卿
Owner 杭州华塑科技股份有限公司
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