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Distribution (function) of relaxation times, successor to complex nonlinear least squares analysis of electrochemical impedance spectroscopy?
Journal of Physics: Energy ( IF 6.9 ) Pub Date : 2020-08-17 , DOI: 10.1088/2515-7655/aba9e0
Bernard A Boukamp

Electrochemical impedance spectroscopy (EIS) and complex nonlinear least squares (CNLS) analysis with an equivalent circuit (EqC) has been the standard research tool in Solid State Electrochemistry for many decades. With an ever increasing interest in the development of energy related materials with complex structures, the impedance spectra are becoming too complex for a simple CNLS-analysis. Inversion of the data from the frequency domain to a distribution function of relaxation times (DFRT), i.e. the τ-domain, has shown to present a better separation and visualization of the underlying electrochemical processes. These are presented by peaks with characteristic time constants that are associated with the separate processes. Hence, the interest in EIS-analysis with inversion to a DFRT has rapidly gained attention over the last decennia. In this contribution a brief review of the applications and limitations of the DFRT procedure is presented. Some examples from the field of soli...

中文翻译:

弛豫时间的分布(函数),是电化学阻抗谱的复杂非线性最小二乘分析的后继者?

几十年来,电化学阻抗谱(EIS)和带有等效电路(EqC)的复数非线性最小二乘法(CNLS)分析一直是固态电化学的标准研究工具。随着对具有复杂结构的能量相关材料的开发的日益增长的兴趣,对于简单的CNLS分析,阻抗谱变得过于复杂。数据从频域到弛豫时间分布函数(DFRT)的反演,即τ域,已经显示出更好的分离和可视化的基础电化学过程。这些由具有特征时间常数的峰值表示,这些特征时间常数与单独的过程相关。因此,在最近的十年中,人们对EIS分析和DFRT转换的兴趣迅速得到关注。在此文稿中,简要回顾了DFRT程序的应用和局限性。单一领域的一些例子...
更新日期:2020-08-31
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