摘要
阐述基于Randles模型协同卡尔曼滤波算法对模型算法进行辨识,分析卡尔曼滤波算法在铅酸蓄电池SOC和SOH估算中的应用,探讨进一步提高SOC和SOH估算精度以及实用性的建议。
This paper describes tthe identification of model algorithms based on the Randles model collaborative Kalman filtering algorithm,analyzes the application of Kalman filtering algorithm in Soc and sOH estimation of lead-acid batteries,and explores suggestions for further improving the accuracy and practicality of SOC and SOH estimation.
作者
杜金其
李冶
盛廷禹
胡原源
令狐克棋
游清清
王伟
DU Jinqi;LI Ye;SHENG Tingyu;HU Yuanyuan;LINGHU Keqi;YOU Qingqing;WANG Wei(State Grid Chongqing Electric Power Company Qijiang Power Supply Branch,Chongqing 401420,China)
出处
《电子技术（上海）》
2024年第2期14-15,共2页
Electronic Technology
