介电谱
荷电状态
电阻抗
电池(电)
健康状况
锂(药物)
电解质
适应性
锂离子电池
电动汽车
材料科学
计算机科学
电化学
电子工程
工程类
电气工程
化学
功率(物理)
电极
物理
热力学
物理化学
内分泌学
生物
医学
生态学
作者
Qi Zhang,Dafang Wang,Bowen Yang,Haosong Dong,Cheng Zhu,Ziwei Hao
标识
DOI:10.1016/j.est.2022.104182
摘要
Electrochemical Impedance Spectroscopy (EIS), as powerful technique of describing electrochemical processes inside lithium-ion batteries (LiBs), has been widely studied for many applications, such as state-of-health (SOH) estimation and degradation diagnostic. To achieve the quantitative analysis on internal processes of LiBs in the electric vehicle (EV) application, a series electrochemical impedance model is developed in this paper. Two novel simplifications on the lithium ion transport path and the electrolyte diffusion make the impedance model have high computational efficiency and more likely to achieve on-board applications. The proposed model has been verified by comparing with measured EISs of three types of LiBs under different state-of-charge (SOC), which proves that it has high simulation accuracy and adaptability. Besides, we analyze the relationship between model parameters and the impedance and extracts some change rules of parameters, all these rules could provide theoretical guidance for the parameter identification of LiBs.
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