An iterative least squares method for the identification of electrochemical impedances

The purpose of the proposed method is to identify the coefficients of an electrochemical impedance model such that the frequency response of the resulting estimated model matches that of the experimental data set. The elements of the experimental data set are electrochemical complex impedance values...

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Bibliographic Details
Published in:Journal of electroanalytical chemistry and interfacial electrochemistry 1989-11, Vol.273 (1), p.243-255
Main Author: Milocco, R.H.
Format: Article
Language:English
Subjects:
Chemistry
Electrochemistry
Electrodeposition
Exact sciences and technology
General and physical chemistry
Study of interfaces
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Summary:The purpose of the proposed method is to identify the coefficients of an electrochemical impedance model such that the frequency response of the resulting estimated model matches that of the experimental data set. The elements of the experimental data set are electrochemical complex impedance values measured at different frequencies not necessarily uniformly spaced. The technique is based on an iterative minimization of the weighted error equation between the model and the data set in the sense of mean squares. An estimation of the model order and the uncertainties on the coefficients are given and exploited in an example.
ISSN:0022-0728
DOI:10.1016/0022-0728(89)87017-2