基于FFRLS+EKF的特定工况下铅炭电池SOC估计

SOC estimation of lead-carbon battery based on FFRLS+EKF under specific working conditions

提出一种快速、高精度估计铅炭电池荷电状态(SOC)的方法,并在特定工况下进行验证。通过建立等效电路模型,应用MATLAB仿真出SOC曲线,对比遗忘因子递推最小二乘(FFRLS)法+扩展卡尔曼滤波(EKF)估计的SOC与实际SOC曲线的误差,验证算法的精确性和可靠性。在恒流间歇放电特定工况下,使用所提算法估计铅炭电池的SOC,与实际SOC的最大误差不超过0.9%。

A fast and high-precision method for estimating the state of charge(SOC)of lead-carbon battery was proposed,its validation was conducted under specific working conditions.An equivalent circuit model was established,MATLAB simulation was applied to generate the SOC curve.The accuracy and reliability of the algorithm were verified by comparing the error between the estimated SOC using the forgetting factor recursive least squares(FFRLS)method+extended Kalman filter(EKF)estimation and the actual SOC curve.Under specific working conditions of constant current intermittent discharge,the proposed algorithm was used to estimate the SOC of lead-carbon battery,with a maximum error not exceeding 0.9%compared to the actual SOC.