电源技术2024，Vol.48Issue(6)：1116-1122,7.DOI:10.3969/j.issn.1002-087X.2024.06.021
基于内环修正CDKF算法的锂电池SOC估计
SOC estimation of lithium battery based on inner loop correction cen-tral difference Kalman filter algorithm
摘要
Abstract
Aiming at the problem that the existing central difference Kalman filter(CDKF)algorithm only performs one state update per filter and cannot fully utilize its correction effect,a central differ-ence Kalman filter algorithm based on inner loop correction(ILCDKF)was proposed.The recursive least squares method with forgetting factor(FFRLS)was used to identify the parameters of the second-order RC equivalent circuit model.In the measurement and update stage of the CDKF algo-rithm,a state correction mechanism was established based on the state error covariance matrix,and the filtering accuracy was improved through the inner loop state correction.The effectiveness of the proposed algorithm was verified through the simulation experiments under FUDS and DST condi-tions.The results show that the proposed algorithm improves the estimation accuracy and the conver-gence speed of SOC compared with the extended Kalman filter(EKF),unscented Kalman filter(UKF)and CDKF.关键词
锂电池/荷电状态/内环修正/中心差分卡尔曼滤波Key words
lithium battery/state of charge/inner loop correction/central difference Kalman filter分类
信息技术与安全科学引用本文复制引用
张传明,万佑红,肖杨..基于内环修正CDKF算法的锂电池SOC估计[J].电源技术,2024,48(6):1116-1122,7.基金项目
国家自然科学基金(62073172) （62073172）
