Chen, H S; Dickinson, E J F; Heins, T P; Park, J; Gaberscek, M; Lee, Y Y; Heinrich, M; Ruiz, V; Napolitano, E; Kauranen, P; Fedorovskaya, E; Moskon, J; Kallio, T; Mousavihashemi, S; Krewer, U; Hinds, G; Seitz, S (2022) Comparison of methodologies to estimate state-of-health of commercial Li-ion cells from electrochemical frequency response data. Journal of Power Sources, 542. 231814

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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 methods potentially provide richer information about the internal physical state of the cell than conventional DC methods neglecting dynamics in the cells. 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 % to 1.5 % SOH units, attributable principally to cell-to-cell variation. Methods based on processed data (equivalent circuit, distribution of relaxation times) are more experimentally and numerically demanding but show lower average uncertainties and may offer more flexibility for future application.

Item Type:	Article
Keywords:	Li-ion battery, electrochemical impedance spectroscopy, EIS, uncertainty
Subjects:	Advanced Materials > Electrochemistry
Divisions:	Electromagnetic & Electrochemical Technologies
Identification number/DOI:	10.1016/j.jpowsour.2022.231814
Last Modified:	12 Sep 2022 14:41
URI:	https://eprintspublications.npl.co.uk/id/eprint/9515