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ChemElectroChem
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Modeling Dynamic Electrochemical Impedance Spectroscopy Using a Linearization Technique

Authors: Cécile Pot d'or; Richard Chukwu; Doriano Brogioli; Fabio La Mantia;

Modeling Dynamic Electrochemical Impedance Spectroscopy Using a Linearization Technique

Abstract

Herein, the physical modeling of dynamic electrochemical impedance spectroscopy using the example of a redox couple in solution is investigated. While the study of electrochemical systems during operation is of great interest, one is always confronted with challenges due to nonlinearities when exciting the system with both a cyclic voltammetry (CV) and a multisine. A two‐component model is proposed, which first solves for the CV and then calculates the effect of the multisine by means of linearization around the CV of all the variables. Three models are tested: a dynamic transfer function model, a stationary transfer function model, and a quadrature band‐pass filter model. The obtained impedance spectra are fitted using the regression analysis with Padé approximants and equivalent circuits. The results show that the dynamic transfer function model is very close to the experimental practice of obtaining dynamic impedance spectra through quadrature filters, and that stationarity has a significant effect on the impedance spectra in the low‐frequency range.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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