摘要
针对锂电池SOC估算的精度,采用电化学模型作为电路模型,结合卡尔曼滤波算法估算SOC。利用Matlab最小二乘法对模型参数进行在线辨识,并通过Matlab/Simulink仿真验证模型的可行性与精度。结果表明,该方法能有效估算锂电池的SOC值,并能有效控制在3%的误差精度范围之内。
For the lithium battery SOC estimation precision, using an electrochemical model as an circuit model, and combined with Kalman filter algorithm to estimate SOC. This study has Used the Matlab least squares method for online-identifying the model parameters, and has verified the feasibility and accuracy of the model by the Matlab/Simulink. The results show that this method can effectively estimate the SOC, and can control within 3% error in the accuracy.
出处
《电源世界》
2016年第7期26-27,25,共3页
The World of Power Supply
关键词
锂电池
电化学模型
卡尔曼滤波
估算精度
Lithium battery, Electrochemical model, Kalman filter, Estimation accuracy
作者简介
黄泽波（1988-），男，湖南邵阳，硕士研究生，研究方向：蓄电池状态监测与维护方向。
