Lithium-sulfur battery diagnostics through distribution of relaxation times analysis

Soni, Roby;

Robinson, James B;

Shearing, Paul R;

Brett, Dan JL;

Rettie, Alexander JE;

Miller, Thomas S;

(2022)

Lithium-sulfur battery diagnostics through distribution of relaxation times analysis.

Energy Storage Materials
, 51

pp. 97-107.

10.1016/j.ensm.2022.06.016.

Text 1-s2.0-S2405829722003245-main.pdf – Published Version Download (5MB)

Abstract

Electrochemical impedance spectroscopy (EIS) is widely used in battery analysis as it is simple to implement and non-destructive. However, the data provided is a global representation of all electrochemical processes within the cell and much useful information is ambiguous or inaccessible when using traditional analysis techniques. This is a major challenge when EIS is used to analyse systems with complex cell chemistries, like lithium-sulfur (Li-S), one of the strongest candidates to supersede conventional Li-ion batteries. Here we demonstrate the application of distribution of relaxation times (DRT) analysis for quantitative deconvolution of EIS spectra from Li-S batteries, revealing the contributions of (eight) distinct electrode processes to the total cell polarisation. The DRT profile is shown to be strongly dependent on cell state-of-charge, offering a route to automated and on-board analysis of Li-S cells.

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