Parameter Identification of Fractional-order Models of Battery Cells Utilizing Impedance Spectroscopy

In this paper the parameter estimation of five fractional-order models of a battery cell is performed. Real measurements obtained by electrochemical impedance spectroscopy on a lithium cobalt oxide graphite cell are utilized, although the method can be applied to cells of various battery types. Optimal parameter values are determined by minimizing the sum of squared residuals, where the residual is defined as the distance between measured and estimated impedance values in the complex plane for a specified frequency, with the Levenberg-Marquardt algorithm employed. The obtained results are compared and analyzed. This approach could be part of a broader process aimed at improving the performance of individual battery cells of various battery types and, consequently, the overall battery.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/telfor63250.2024.10819186
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parameter Identification of Fractional-order Models of Battery Cells Utilizing Impedance Spectroscopy

Riccardo Caponetto, Boris Dumnić, A. Di Blasi, Stevan M. Cvetićanin et al.
1 citations
Advanced Battery Technologies Research
0.20
article

Parameter Identification of Fractional-order Models of Battery Cells Utilizing Impedance Spectroscopy

Riccardo Caponetto, Boris Dumnić, A. Di Blasi, Stevan M. Cvetićanin, Barbara Vujkov, Marko Alagić
article en
1 citations

Abstract

In this paper the parameter estimation of five fractional-order models of a battery cell is performed. Real measurements obtained by electrochemical impedance spectroscopy on a lithium cobalt oxide graphite cell are utilized, although the method can be applied to cells of various battery types. Optimal parameter values are determined by minimizing the sum of squared residuals, where the residual is defined as the distance between measured and estimated impedance values in the complex plane for a specified frequency, with the Levenberg-Marquardt algorithm employed. The obtained results are compared and analyzed. This approach could be part of a broader process aimed at improving the performance of individual battery cells of various battery types and, consequently, the overall battery.

University of Messina (IT), University of Novi Sad (RS), Institute for Advanced Energy Technologies (IT)
Affordable and clean energy
Openalex Percentile: Top 46%
Advanced Battery Technologies Research
0.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.