介电谱
锂(药物)
等效电路
荷电状态
材料科学
离子
扩散
分析化学(期刊)
电阻抗
相(物质)
电化学
电池(电)
化学
电压
电极
电气工程
物理
热力学
工程类
功率(物理)
医学
物理化学
有机化学
色谱法
内分泌学
作者
Laiqiang Kong,Sidun Fang,Tao Niu,Guanhong Chen,Lijun Yang,Ruijin Liao
出处
期刊:IEEE Transactions on Industry Applications
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:60 (1): 1369-1379
被引量:2
标识
DOI:10.1109/tia.2023.3324632
摘要
A fast state of charge (SOC) estimation method is proposed based on simplified electrochemical model in this article. Firstly, the solution-phase and solid-phase lithium-ion diffusion models are stripped from the simplified electrochemical model to characterize the lithium-ion concentration. Then, based on the correlation analysis between the solution-phase lithium-ion concentration, the solid-phase surface lithium-ion stoichiometry and the obtained electrochemical impedance spectroscopy (EIS) data, key frequency features for SOC estimation are extracted through the established five feature extraction principles. Finally, the proposed SOC estimation method is expanded to consider the influences of ambient temperature. Experimental study indicates that the integration of lithium-ion diffusion process can significantly improve the accuracy of SOC estimation and reduce the computational time compared with the traditional broadband domain method and the fractional-order equivalent circuit model (FOECM).
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