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Modeling electrode heterogeneity in lithium-ion batteries: unimodal and bimodal particle-size distributions

Modeling electrode heterogeneity in lithium-ion batteries: unimodal and bimodal particle-size distributions
Modeling electrode heterogeneity in lithium-ion batteries: unimodal and bimodal particle-size distributions

In mathematical models of lithium-ion batteries, the highly heterogeneous porous electrodes are frequently approximated as comprising spherical particles of uniform size, leading to the commonly used single-particle model (SPM) when transport in the electrolyte is assumed to be fast. Here electrode heterogeneity is modeled by extending this to a distribution of particle sizes. Unimodal and bimodal particle-size distributions (PSD) are considered. For a unimodal PSD, the effect of the spread of the distribution on the cell dynamics is investigated, and choice of effective particle radius when approximating by an SPM assessed. Asymptotic techniques are used to derive a correction to the SPM valid for narrow, but realistic, PSDs. In addition, it is shown that the heterogeneous internal states of all particles (relevant when modeling degradation, for example) can be efficiently computed after the fact. For a bimodal PSD, the results are well approximated by a double-particle model (DPM), with one size representing each mode. Results for lithium iron phosphate with a bimodal PSD show that the DPM captures an experimentally observed double plateau in the discharge curve, suggesting it is entirely due to bimodality.

asymptotic analysis, electrochemistry, intercalation reaction, many-particle model
0036-1399
625-653
Kirk, Toby L.
7bad334e-c216-4f4a-b6b3-cca90324b37c
Evans, Jack
99afe675-a637-4132-ab47-7e3ef9ee6983
Please, Colin P.
118dffe7-4b38-4787-a972-9feec535839e
Chapman, S. Jonathan
0816db1e-6009-4235-8f2c-e2b8a9d0be11
Kirk, Toby L.
7bad334e-c216-4f4a-b6b3-cca90324b37c
Evans, Jack
99afe675-a637-4132-ab47-7e3ef9ee6983
Please, Colin P.
118dffe7-4b38-4787-a972-9feec535839e
Chapman, S. Jonathan
0816db1e-6009-4235-8f2c-e2b8a9d0be11

Kirk, Toby L., Evans, Jack, Please, Colin P. and Chapman, S. Jonathan (2022) Modeling electrode heterogeneity in lithium-ion batteries: unimodal and bimodal particle-size distributions. SIAM Journal on Applied Mathematics, 82 (2), 625-653. (doi:10.1137/20M1344305).

Record type: Article

Abstract

In mathematical models of lithium-ion batteries, the highly heterogeneous porous electrodes are frequently approximated as comprising spherical particles of uniform size, leading to the commonly used single-particle model (SPM) when transport in the electrolyte is assumed to be fast. Here electrode heterogeneity is modeled by extending this to a distribution of particle sizes. Unimodal and bimodal particle-size distributions (PSD) are considered. For a unimodal PSD, the effect of the spread of the distribution on the cell dynamics is investigated, and choice of effective particle radius when approximating by an SPM assessed. Asymptotic techniques are used to derive a correction to the SPM valid for narrow, but realistic, PSDs. In addition, it is shown that the heterogeneous internal states of all particles (relevant when modeling degradation, for example) can be efficiently computed after the fact. For a bimodal PSD, the results are well approximated by a double-particle model (DPM), with one size representing each mode. Results for lithium iron phosphate with a bimodal PSD show that the DPM captures an experimentally observed double plateau in the discharge curve, suggesting it is entirely due to bimodality.

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More information

Published date: 14 April 2022
Additional Information: Publisher Copyright: © 2022 Society for Industrial and Applied Mathematics
Keywords: asymptotic analysis, electrochemistry, intercalation reaction, many-particle model

Identifiers

Local EPrints ID: 495669
URI: http://eprints.soton.ac.uk/id/eprint/495669
ISSN: 0036-1399
PURE UUID: b80bc179-925d-4f1f-a671-71a41ff18ee3
ORCID for Toby L. Kirk: ORCID iD orcid.org/0000-0002-6700-0852

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Date deposited: 20 Nov 2024 17:42
Last modified: 28 Nov 2024 03:10

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Contributors

Author: Toby L. Kirk ORCID iD
Author: Jack Evans
Author: Colin P. Please
Author: S. Jonathan Chapman

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