基于双卡尔曼滤波的梯次利用电池SOP估算研究  

Study on SOP estimation of echelon use battery based on dual EKF

作　　者：柴建勇 侯恩广 李岳炀[3] CHAI Jianyong;HOU Enguang;LI Yueyang(Shandong Hi-Speed Information Group Co.,Ltd.,Jinan Shandong 250101,China;School of Rail Transportation,Shandong Jiaotong University,Jinan Shandong 250357,China;University of Jinan,Jinan Shandong 250022,China)

机构地区：[1]山东高速信息集团有限公司,山东济南250101 [2]山东交通学院,山东济南250357 [3]济南大学,山东济南250022

出　　处：《电源技术》2021年第6期732-735,共4页Chinese Journal of Power Sources

基　　金：国家自然科学基金项目(61973135);山东省重大科技创新工程项目(2019JZZY010441)。

摘　　要：针对梯次电池性能退化导致电池峰值功率(SOP)估算不准确的问题,提出了基于双卡尔曼滤波(Dual EKF)的梯次电池SOP估算方法。首先建立梯次电池的二阶Thevenin等效模型;其次应用双卡尔曼滤波算法,基于该算法估算SOC(荷电状态)、欧姆内阻和实际容量;然后,利用最优估计预测工作电压与内阻,估算梯次电池SOP。通过仿真,验证了SOP估算方法的准确性。Aiming at the problem of inaccurate peak power(SOP)estimation due to the performance degradation of echelon use batteries,a SOP estimation method based on dual extended Kalman filter(dual EKF)was proposed.First,the second-order Thevenin equivalent model of the cascade cell was established.Second,the dual Kalman filtering algorithm was used to estimate SOC(state of charge)based on the Kalman filtering algorithm.Meanwhile,the ohmic internal resistance and actual capacity were estimated based on the Kalman filtering algorithm.The accuracy of SOP estimation method is verified by simulation.

关 键 词：梯次电池 双卡尔曼滤波 峰值功率 二阶Thevenin等效模型 

分 类 号：TM912[电气工程—电力电子与电力传动]