Online Estimation of Model Parameters and State of Charge for Lithium-Ion Battery Using Multitimescale Recurrent Neural Networks

已完结 10 由懒洋洋发布于 2026/8/11 14:29:06

DOI:10.1109/TIE.2025.3528505
作者：Zepei Zhang;Yuan Fan;Jiaqiang Tian;Huyong Kuang;Mince Li;Tianhong Pan;Yujie Wang;Xinghua Liu
文献类型：期刊论文
补充材料：只需要正文

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Accurate estimation of battery parameters and state is significant for new energy electric vehicles. In this work, a novel online estimation method is proposed for a second-order equivalent

应助信息

1天前

脑子不缺水

c515b4d1954e11f18e2c34735aa3bc31.pdf 已采纳

1天前

Book学术机器人

2026/8/11 14:29:06 未找到该文献，机器人已退出，请等待人工下载

2026/8/11 14:29:06 Book学术AI机器人收到请求，开始寻找文献

2026/8/11 14:29:06 已向机器人发送请求

1天前

懒洋洋发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierPhysical knowledge guided state of health estimation of lithium-ion battery with limited segment data