测控技术2025，Vol.44Issue(9)：31-37,44,8.DOI:10.19708/j.ckjs.2025.09.005
基于EKF融合算法的电池SOC预测
Battery SOC Prediction Based on EKF Fusion Algorithm
摘要
Abstract
High-energy power battery is the core energy storage module of the power supply and distribution system,and a second-order equivalent circuit model is constructed for the application of high-energy power bat-tery.On the basis of the equivalent circuit model,stage of charge(SOC)algorithm combining recursive least squares(RLS)and extended Kalman filter(EKF)is proposed,and is improved to SOC algorithm based on tem-perature compensated joint RLS and EKF fusion.Based on MATLAB software,the simulation verification pro-gram for the joint algorithm before and after improvement is designed,and the results are compared and ana-lyzed.The simulation results show that the joint algorithm based on temperature compensation can achieve a relative error of less than 5％when the SOC is within the range of(0.25,1),verifying the effectiveness of the proposed modeling and solving methods.关键词
供配电系统/等效电路模型/动态遗忘因子最小二乘法/改进EKF算法Key words
power supply and distribution system/equivalent circuit model/dynamic forgetting factor least squares method/improved EKF algorithm分类
信息技术与安全科学引用本文复制引用
李立雪,王飞漩,魏清新..基于EKF融合算法的电池SOC预测[J].测控技术,2025,44(9):31-37,44,8.
