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A Comprehensive Physical‐Based Sensitivity Analysis of the Electrochemical Impedance Response of Lithium‐Ion Batteries

Rabissi, Claudio; Innocenti, Alessandro; Sordi, Gabriele; Casalegno, Andrea

Abstract:
The electrochemical impedance spectroscopy (EIS) characterization technique, although widely adopted in electrochemistry for understanding operational issues and degradation, has a less consolidated physical interpretation in lithium-ion batteries (LIBs), often relying on circuital methods. Herein, the Doyle-Fuller-Newman model is adapted and experimentally validated for the physical simulation of electrochemical impedance; then, it is applied in a comprehensive one-factor-at-time sensitivity analysis on an impedance spectrum from 4 kHz to 0.005 Hz; 28 physical parameters, which represent the kinetic, resistive, diffusive, and geometric characteristics of the battery, are varied within broad literature-based ranges of values, for each of the 20 analyzed battery states, characterized by different state-of-charge and temperature values. The results show a miscellaneous sensitivity of parameters on impedance spectra, which ranges from highly sensitive to negligible, often resulting in a strong dependence on operating conditions and impedance frequency. Such results consolidate the understanding of LIB electrochemical impedance and demonstrate that 40% of the parameters, 12 out of 28, can be considered poorly sensitive or insensitive parameters; therefore, fitting the experimental EIS data, their value can be assumed from the literature without significantly losing accuracy.

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Verlagsausgabe §
DOI: 10.5445/IR/1000131029
Veröffentlicht am 30.03.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Helmholtz-Institut Ulm (HIU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 04.03.2021
Sprache Englisch
Identifikator ISSN: 2194-4288, 2194-4296
KITopen-ID: 1000131029
Erschienen in Energy technology
Verlag Wiley-VCH Verlag
Band 9
Heft 3
Seiten Art.-Nr. 2000986
Vorab online veröffentlicht am 05.01.2021
Nachgewiesen in Scopus
Web of Science
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