Abstract
The distribution of relaxation times (DRT) method is a non-parametric approach for analyzing
electrochemical impedance spectroscopy (EIS) data. However, we must be careful when using
the DRT method on electrochemical systems with blocking electrodes, such as those
encountered in batteries and supercapacitors. This is because at low frequencies the asymptotic
behavior of the DRT model cannot capture unbounded impedances. To address this issue, we
explore the distribution of capacitive times (DCT), a method that, despite being developed
decades ago, is still not widely used. In this work, we detail the theoretical underpinnings of
the DCT, deriving DCT-specific analytical formulae based on several standard impedance
models. We also draw parallels between DCT and DRT and show how these two methods differ
in capturing timescales and peaks, elucidating the scenarios where DCT can serve as a viable
alternative should the DRT not be applicable. This article seeks to expand the scope of nonparametric approaches for EIS data analysis, particularly to systems characterized by blocking
electrodes.
Supplementary materials
Title
Part 1 of the Supplementary Information
Description
This file contains the derivations of the analytical formulae presented in the manuscript.
Actions
Title
Part 2 of the Supplementary Information
Description
This file contains additional tables and figures.
Actions