电池2024，Vol.54Issue(6)：810-814,5.DOI:10.19535/j.1001-1579.2024.06.010
基于AUKF算法的锂离子电池SOC估计
SOC estimation of Li-ion battery based on AUKF algorithm
摘要
Abstract
Accurate state of charge(SOC)estimation helps battery management systems extend battery life and ensure battery safety.The estimation of SOC of Li-ion battery using the Kalman filtering algorithm is usually inaccurate due to the pseudo-positive characterization of the covariance matrix and the accumulation of noise statistical errors.Therefore,a SOC estimation method for Li-ion battery based on an adaptive unscented Kalman filter(AUKF)is proposed.The method consists of unscented Kalman filter(UKF)and adaptive algorithm.The accuracy of the proposed method for SOC estimation at different aging levels is verified by comparing with UKF.The proposed algorithm shows high SOC estimation accuracy with error within 0.5%.关键词
磷酸铁锂/锂离子电池/自适应无迹卡尔曼滤波(AUKF)/荷电状态(SOC)Key words
lithium iron phosphate/Li-ion battery/adaptive unscented Kalman filter(AUKF)/state of charge(SOC)分类
信息技术与安全科学引用本文复制引用
杜涵,马雁,王非,周永年,辛业春..基于AUKF算法的锂离子电池SOC估计[J].电池,2024,54(6):810-814,5.基金项目
国家自然科学基金(12105351),河南省科技厅重点研发与推广专项(科技攻关)项目(212102210270) （12105351）
