Battery state of charge estimation from electrochemical impedance spectroscopy data based on machine learning with fractional order model parameters and distribution relaxation time features

已完结 10 由。。。发布于 2026/3/2 9:39:04

DOI:10.1016/j.est.2025.119754
作者：Liuyuan Du ,?Xianhao Shen ,?Xinyu Li ,?Xuewen Li ,?Yonghui Wei
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Battery management system(BMS) requires precise SOC determination to ensure safe and reliable lithium-ion battery operation. SOC estimation typically relies on equivalent circuit modeling ap

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

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:ElsevierNet zero energy microalgae production: Photovoltaic integration in light emitting diode-based photobioreactors