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Bibliographic Details
Main Authors: Sovljanski, Vladimir, Paolone, Mario, Tant, Sylvain, Sainflou, Damien Pierre
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.06112
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author Sovljanski, Vladimir
Paolone, Mario
Tant, Sylvain
Sainflou, Damien Pierre
author_facet Sovljanski, Vladimir
Paolone, Mario
Tant, Sylvain
Sainflou, Damien Pierre
contents In this paper, we study a suitable experimental design of electrochemical impedance spectroscopy (EIS) to reduce the number of frequency points while not significantly affecting the uncertainties of the estimated cell's equivalent circuit model (ECM) parameters. It is based on an E-optimal experimental design that aims to maximize the information about the ECM parameters collected by EIS measurements and, at the same time, minimize the overall uncertainty. In a numerical experiment, we first analyze to which extent reducing the number of measurement points at low frequencies affects the uncertainty of the estimated parameters. Secondly, we show that applying the frequency adjustments can lead to the same or even improved global uncertainty of ECM parameter estimates as with a higher number of measurements. This is numerically verified through a case study using the ECM parameters of a commercial battery cell.
format Preprint
id arxiv_https___arxiv_org_abs_2501_06112
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimizing Experiments for Accurate Battery Circuit Parameters Estimation: Reduction and Adjustment of Frequency Set Used in Electrochemical Impedance Spectroscopy
Sovljanski, Vladimir
Paolone, Mario
Tant, Sylvain
Sainflou, Damien Pierre
Systems and Control
In this paper, we study a suitable experimental design of electrochemical impedance spectroscopy (EIS) to reduce the number of frequency points while not significantly affecting the uncertainties of the estimated cell's equivalent circuit model (ECM) parameters. It is based on an E-optimal experimental design that aims to maximize the information about the ECM parameters collected by EIS measurements and, at the same time, minimize the overall uncertainty. In a numerical experiment, we first analyze to which extent reducing the number of measurement points at low frequencies affects the uncertainty of the estimated parameters. Secondly, we show that applying the frequency adjustments can lead to the same or even improved global uncertainty of ECM parameter estimates as with a higher number of measurements. This is numerically verified through a case study using the ECM parameters of a commercial battery cell.
title Optimizing Experiments for Accurate Battery Circuit Parameters Estimation: Reduction and Adjustment of Frequency Set Used in Electrochemical Impedance Spectroscopy
topic Systems and Control
url https://arxiv.org/abs/2501.06112