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

Kallio T., Moškon J., Fedorovskaya E., Kauranen P., Napolitano E., Ruiz V., Heinrich M., Lee Y.Y., Gaberšček M., Park J., Heins T.P., Dickinson E.J.F., Chan H.S., Mousavihashemi S., Krewer U., Hinds G., Seitz S.
Keywords:

Electrochemical impedance spectroscopy, Equivalent circuit, Distribution of relaxation times, Nonlinear frequency response analysis, State-of-health prediction

Document type Article
Journal title / Source Journal of Power Sources
Volume 542
Page numbers / Article number 231814
Publisher's name Elsevier BV
Publication date 2022-9-15
ISSN 0378-7753
DOI 10.1016/j.jpowsour.2022.231814
Web URL https://www.sciencedirect.com/science/article/pii/S0378775322008035
Language English

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