A battery SOC-OCV curve estimation method, device, equipment, medium and product

By conducting multi-temperature full SOC range testing and temperature compensation coefficient mapping, the problem of uneven battery SOC estimation accuracy was solved, achieving accurate SOC estimation at different temperatures, avoiding interpolation errors, and improving the estimation accuracy of the battery management system.

CN122218501APending Publication Date: 2026-06-16安徽得壹能源科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
安徽得壹能源科技有限公司
Filing Date
2026-02-13
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

Existing technologies fail to effectively consider the temperature sensitivity differences between different SOC ranges when estimating battery state of charge (SOC), resulting in uneven estimation accuracy across the entire SOC range. Furthermore, they rely on a limited number of pre-tested temperature points, which introduces additional errors when the actual ambient temperature does not fall within the predicted range.

Method used

Complete data was obtained through multi-temperature full SOC range testing, a basic OCV model was constructed, and the temperature compensation coefficient was calculated. The mapping relationship between SOC points and temperature compensation coefficients was established, and correction values ​​were directly calculated to improve estimation accuracy and avoid errors introduced by interpolation calculations.

Benefits of technology

It achieves high-precision SOC estimation across the entire SOC range, eliminating the dependence on limited pre-test temperature points and significantly improving the accuracy of battery SOC estimation, especially with accuracy controlled within 1% when temperature changes.

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Abstract

The application relates to the technical field of battery management, and discloses a battery SOC-OCV curve estimation method, device, equipment, medium and product. The method comprises the following steps: acquiring battery full-capacity-range charging and discharging test data under multiple environment temperatures; based on the test data under a selected basic environment temperature, a basic OCV model is constructed by taking the residual capacity as the independent variable and the open-circuit voltage as the dependent variable; for each residual capacity, the open-circuit voltage corresponding to the residual capacity under different temperatures is extracted, and the change slope of the open-circuit voltage with the temperature, i.e. the temperature compensation coefficient corresponding to the residual capacity, is calculated; the real-time residual capacity of the battery and the current environment temperature are acquired; the reference open-circuit voltage corresponding to the residual capacity is obtained based on the basic OCV model, and the temperature compensation coefficient corresponding to the residual capacity is obtained based on a mapping table; and the temperature compensation value is calculated, and the reference open-circuit voltage and the temperature compensation value are summed. The application can solve the problem of uneven estimation accuracy in the full SOC range.
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