锂离子动力电池荷电状态监测仿真

Monitoring Simulation of State of Charge of Lithiumion Power Battery

当前的锂离子动力电池荷电状态监测方法构建的RC等效电路为低阶模型,导致锂离子动力电池工作的外特性分析结果存在误差,且适用性较差、耗时较长。为解决以上问题,提出锂离子动力电池荷电状态监测方法。构建2阶RC等效电路模型,为电池荷电状态的监测提供分析依据。基于此,采用卡尔曼滤波算法,通过MATLAB平台的cftool工具拟合处理预测数据,完成锂离子动力电池荷电状态的监测。实验结果表明,所提方法的适用性高、平均绝对误差小,且运行时间更短。

Currently,the RC equivalent circuit constructed by some methods is a low-order model,so some errors exist in the analysis results of external characteristics of Li-ion power battery.Besides that,the applicability and time consumption are not ideal.Therefore,a method of monitoring the state of charge of Li-ion power battery was proposed.The two-order RC equivalent circuit model was constructed to provide analysis basis for the monitoring of battery state of charge.On this basis,the Kalman filter algorithm and the cftool tool of the MATLAB platform were used to fit prediction data,thus monitoring the state of charge of lithium-ion power battery.Experimental results show that the proposed method has higher applicability,lower average absolute error,and shorter running time.