Method, device and equipment for estimating state of charge against fluctuating current, and storage medium

By employing a multi-dimensional operating condition analysis logic based on double hysteresis thresholds and the statistical analysis of sample proportions within a time window, combined with a dynamic weight fusion strategy, the problem of frequent erroneous switching in the state of charge estimation method under fluctuating current conditions is solved. This achieves smooth transition and accurate identification of the estimated state of charge, thereby improving the stability and efficiency of the system.

CN122283485APending Publication Date: 2026-06-26TODAYS TIMES (ANHUI) NEW ENERGY TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610495046.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-15
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing state of charge estimation methods frequently switch erroneously under complex fluctuating current conditions, leading to step jumps in the estimated state of charge and a surge in processor computational load, making it impossible to effectively identify the actual operating condition transition.

Method used

By employing a dual hysteresis threshold and statistical analysis of the sample time proportion within the target time window, combined with a transient pulse filtering mechanism, a multi-dimensional working condition judgment logic is constructed. During the transition period, a dynamic weight fusion strategy is used for smooth switching, and proportional-integral-derivative control algorithm and state observation filtering algorithm are used for correction calculation.

Benefits of technology

It improves the system's tolerance to high-frequency fluctuating current, accurately identifies operating condition transitions, reduces the probability of algorithm false triggering and frequent switching, alleviates processor load, ensures the continuity and steady-state accuracy of the state of charge estimation, and provides reliable data support.

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Abstract

This invention discloses a method for estimating the state of charge (SOC) against fluctuating current. It acquires the real-time current and terminal voltage of the power battery to estimate the basic SOC. Based on a dual hysteresis threshold, the sample time proportion of the real-time current sequence within the target time window, and a transient pulse filtering mechanism, it accurately identifies the actual switch between steady-state and dynamic operating conditions. Responding to the operating condition switch, a dynamic weight fusion strategy is adopted within a preset transition period to acquire in parallel the proportional-integral-derivative (PID) control algorithm correction amount with the terminal voltage residual as input, and the state observation filtering algorithm correction amount with the basic SOC as the state variable. The weights of the two correction amounts are linearly and smoothly varied over time and then weighted and fused to calculate the final target SOC to manage the charging and discharging process of the power battery. This invention effectively filters out transient current interference, eliminates the step jump in estimated values ​​caused by hard switching of the underlying algorithm, and balances the steady-state accuracy of the estimation with high dynamic tracking response.
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