4.6 Article

A dispersion-invariant model of the electrochemical impedance

Journal

ELECTROCHIMICA ACTA
Volume 390, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.electacta.2021.138828

Keywords

Multilinear fitting; Parameter dispersion; EIS; Polarization resistance; Equivalent circuit

Funding

  1. [GINOP-2.3.2-15-2016-0053]

Ask authors/readers for more resources

This study presents a new model for evaluating Electrochemical Impedance Spectroscopy data, which can accurately estimate the polarization resistance and double layer capacitance from experimental data.
The evaluation of Electrochemical Impedance Spectroscopy (EIS) data and, in particular, the determination of such key parameters as the polarization resistance and the double layer capacitance are essentially complicated by two factors: (i) the ambiguities of the Electrical Equivalence Circuits (EEC), especially in the low frequency range and (ii) the frequency dispersion of the circuit parameters. These phenomena are typically interpreted by means of the Constant Phase Element. In an alternative model we assumed that the impedance of the electrochemical interface could be separated into a Voigt circuit carrying the 'ideal' behaviour of the polarization resistance and the electrochemical double layer and into a series of Maxwell circuits, connected parallel to the #ideal# elements, carrying all additional effects related to the specific EEC and the dispersion of the kinetic parameters. This model resulted in a linear separation of the #ideal# kinetic parameters from the additional effects. The obtained formulae were tested experimentally against soluble redox and corrosion systems showing features that could not be interpreted in terms of the conventional concept of the EEC. The results verified that the new functions were capable of a close approximation of the polarization resistance and the double layer capacitance from the higher frequency EIS data only and also provided the density functions of the dispersion parameters. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available