摘要
为了获得更加准确的电池荷电状态(SOC)估算,针对高低温环境因素对锂电池性能的影响,提出了一种基于扩展卡尔曼滤波(EKF)的高低温模型修正SOC估算方法。选用二阶RC等效电路模型,结合开路电压法、安时积分法以及改进的扩展卡尔曼滤波法建立算法模型。根据欧姆电阻对温度反应的差异性,在观测方程中引入偏差控制量。最后,基于Matlab仿真平台进行试验。结果表明,改进后的算法有效提高了SOC的估算精度,将相对误差控制在3.12%以下,比未改进前的模型精度降低了1.44%。
In order to obtain more accurate estimation of state of charge(SOC)of lithium batteries,a modified SOC estimation method based on extended Kalman filter(EKF)for high and low temperature environment is proposed.The second-order RC equivalent circuit model is selected,and the algorithm model is established by combining open-circuit voltage method,timeintegration method and the improved extended Kalman filter method.At the same time,according to the difference of ohmic resistance to temperature response,the deviation control quantity is introduced into the observation equation.Finally,the experiment is based on the Matlab simulation platform.The results show that the improved algorithm effectively improves the estimation accuracy of SOC,and the relative error is controlled below 3.12%,which is 1.44%lower than that of the original model.
作者
唐淳淳
余粟
王盟
TANG Chunchun;YU Su;WANG Meng(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Engineering Training Center,Shanghai University of Engineering Science,Shanghai 201620,China;School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《智能计算机与应用》
2020年第2期180-183,共4页
Intelligent Computer and Applications
