State of Charge Estimation of LiFePO₄ Batteries Based on Improved EKF Algorithm
摘要
Since the accuracy of extended Kalman filter (EKF) algorithm in State of Charge (SOC) estimation is significantly reduced due to the voltage plateau of LiFePO₄ battery, this paper proposes an SOC estimation method based on the improved EKF algorithm (IEKF). This method designs a weight function based on the slope of the open-circuit voltage (OCV) curve to adjust the Kalman gain, which solves the problem of inaccurate SOC estimation caused by the small change of OCV when the LiFePO₄ battery is in the voltage plateau region. The experimental results show that, the proposed IEKF algorithm effectively improves the accuracy and reliability of SOC estimation within a wide voltage platform range, and exhibits strong potential for engineering applications.