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.
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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.
| Type: | Article |
|---|---|
| Title: | Lithium-sulfur battery diagnostics through distribution of relaxation times analysis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ensm.2022.06.016 |
| Publisher version: | https://doi.org/10.1016/j.ensm.2022.06.016 |
| Language: | English |
| Additional information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10151901 |
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