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Comparison of methodologies to estimate state-of-health of commercial Li-ion cells from electrochemical frequency response data

Chan, Hoon Seng 1; Dickinson, Edmund J. F.; Heins, Tom P.; Park, Juyeon; Gaberšček, Miran; Lee, Yan Ying 1; Heinrich, Marco; Ruiz, Vanesa; Napolitano, Emilio; Kauranen, Pertti; Fedorovskaya, Ekaterina; Moškon, Jože; Kallio, Tanja; Mousavihashemi, Seyedabolfazl; Krewer, Ulrike ORCID iD icon 1; Hinds, Gareth; Seitz, Steffen
1 Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)

Abstract:

Various impedance-based and nonlinear frequency response-based methods for determining the state-of-health (SOH) of commercial lithium-ion cells are evaluated. Frequency response-based measurements provide a spectral representation of dynamics of underlying physicochemical processes in the cell, giving evidence about its internal physical state. The investigated methods can be carried out more rapidly than controlled full discharge and thus constitute prospectively more efficient measurement procedures to determine the SOH of aged lithium-ion cells. We systematically investigate direct use of electrochemical impedance spectroscopy (EIS) data, equivalent circuit fits to EIS, distribution of relaxation times analysis on EIS, and nonlinear frequency response analysis. SOH prediction models are developed by correlating key parameters of each method with conventional capacity measurement (i.e., current integration). The practical feasibility, reliability and uncertainty of each of the established SOH models are considered: all models show average RMS error in the range 0.75%–1.5% SOH units, attributable principally to cell-to-cell variation. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000149206
Veröffentlicht am 29.07.2022
Originalveröffentlichung
DOI: 10.1016/j.jpowsour.2022.231814
Scopus
Zitationen: 9
Web of Science
Zitationen: 6
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Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Center for Electrochemical Energy Storage Ulm & Karlsruhe (CELEST)
Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 09.2022
Sprache Englisch
Identifikator ISSN: 0378-7753, 1873-2755
KITopen-ID: 1000149206
Erschienen in Journal of Power Sources
Verlag Elsevier
Band 542
Seiten Art.-Nr.: 231814
Schlagwörter Electrochemical impedance spectroscopy; Equivalent circuit; Distribution of relaxation times; Nonlinear frequency response analysis; State-of-health prediction
Nachgewiesen in Web of Science
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Scopus
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