介电谱
电阻抗
线性
非线性系统
频域
时域
电压
材料科学
分析化学(期刊)
电子工程
电极
控制理论(社会学)
计算机科学
化学
电化学
电气工程
数学
物理
工程类
数学分析
色谱法
人工智能
控制(管理)
量子力学
计算机视觉
物理化学
作者
Noël Hallemans,David A. Howey,Alberto Battistel,Nessa Fereshteh Saniee,Federico Scarpioni,Benny Wouters,Fabio La Mantia,Annick Hubin,Widanalage Dhammika Widanage,John Lataire
标识
DOI:10.1016/j.electacta.2023.142939
摘要
Electrochemical impedance spectroscopy (EIS) is a widely used experimental technique for characterising materials and electrode reactions by observing their frequency-dependent impedance. Classical EIS measurementsrequire the electrochemical process to behave as a linear time-invariant system. However, electrochemicalprocesses do not naturally satisfy this assumption: the relation between voltage and current is inherently nonlinear and evolves over time. Examples include the corrosion of metal substrates and the cycling of Li-ion batteries. As such, classical EIS only offers models linearised at specific operating points. During the last decade, solutions were developed for estimating nonlinear and time-varying impedances, contributing to more general models. In this paper, we review the concept of impedance beyond linearity and stationarity, and detail different methods to estimate this from measured current and voltage data, with emphasis on frequency domain approaches using multisine excitation. In addition to a mathematical discussion, we measure and provide examples demonstrating impedance estimation for a Li-ion battery, beyond linearity and stationarity, both while resting and while charging.
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