基于高阶EKF的锂电池SOC测算精度研究  

Research on lithium battery SOC calculation accuracy based on high⁃order EKF

作　　者：陈晓辉 周骏[1] 蒋超[1] 李威 CHEN Xiaohui;ZHOU Jun;JIANG Chao;LI Wei(Air Force Logistics College,Xuzhou 221000,China)

机构地区：[1]空军勤务学院,江苏徐州221000

出　　处：《现代电子技术》2024年第13期129-137,共9页Modern Electronics Technique

摘　　要：锂电池荷电状态是电池管理系统运行的前提和核心任务,为能够准确跟踪测算电池SOC值,以18650-20R型锂电池为主要研究对象,建立二阶Thevenin等效电路模型,经脉冲特性实验对电路模型参数进行辨识,在恒流、脉冲放电及Fuds工况下验证模型的准确性,并在此基础上实现了利用一阶、二阶及高阶EKF算法对电池荷电状态的估计。最后通过Matlab仿真结果验证,高阶EKF在锂离子电池动静态SOC测算时均具有更高的测算精度。The state of charge(SOC)of lithium battery is the premise and core task of battery management system.In order to accurately track and calculate the SOC value of the battery,the second-order Thevenin equivalent circuit model is established with the lithium battery 18650-20R as the main research object.The parameters of the circuit model are identified by pulse characteristic experiments.The accuracy of the model is verified under constant current,pulse discharge and Fuds conditions.On the basis of the above,the SOC of the battery is estimated by the first-order,the second-order and the high-order extended Kalman filter(EKF)algorithms.The simulation results on the Matlab show that the high-order EKF has higher accuracy in the dynamic and static SOC calculation of lithium-ion batteries.

关 键 词：高阶EKF SOC测算 参数辨识 二阶Thevenin等效电路 脉冲特性实验 电池管理系统 MATLAB仿真 

分 类 号：TN609-34[电子电信—电路与系统]