基于二阶Thevenin模型的卡尔曼滤波SOC估计

Kalman Filter SOC Estimation Based on Second Order Thevenin Model

基于二阶Thevenin等效电路搭建电池模型,在此基础上通过卡尔曼滤波算法搭建锂电池SOC估计模型,并在Simulink环境中对锂电池模型和SOC估计模型进行仿真与验证。通过UDDS工况下锂电池工作电流、电压及SOC来验证SOC估计模型的准确性,并对误差进行了分析,结果表明SOC估计模型的误差小于0.04。

A model of lithium-ion battery based on second order Thevenin equivalent circuit model was built,an SOC estimation model of lithium-ion battery was established by Kalman filtering algorithm.And both of these two models were realized and verified by Simulink.The accuracy of the SOC estimation model was validated with the value of current,voltage and SOC in UDDS-based experiments.The error of this model was analyzed.The results show that the error of SOC estimation model is whitin 0.04.