Journal article
Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
- Abstract:
- Fracture of lithium-ion battery electrodes is found to contribute to capacity fade and reduce the lifespan of a battery. Traditional fracture models for batteries are restricted to consideration of a single, idealised particle; here, advanced X-ray computed tomography (CT) imaging, an electro-chemo-mechanical model and a phase field fracture framework are combined to predict the void-driven fracture in the electrode particles of a realistic battery electrode microstructure. The electrode is shown to exhibit a highly heterogeneous electrochemical and fracture response that depends on the particle size and distance from the separator/current collector. The model enables prediction of increased cracking due to enlarged cycling voltage windows, cracking susceptibility as a function of electrode thickness, and damage sensitivity to discharge rate. This framework provides a platform that facilitates a deeper understanding of electrode fracture and enables the design of next-generation electrodes with higher capacities and improved degradation characteristics.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 11.6MB, Terms of use)
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- Publisher copy:
- 10.1016/j.jpowsour.2022.231119
Authors
- Publisher:
- Elsevier
- Journal:
- Journal of Power Sources More from this journal
- Volume:
- 526
- Article number:
- 231119
- Publication date:
- 2022-02-19
- Acceptance date:
- 2022-02-01
- DOI:
- EISSN:
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1873-2755
- ISSN:
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0378-7753
- Language:
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English
- Keywords:
- Pubs id:
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1608371
- Local pid:
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pubs:1608371
- Deposit date:
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2024-02-27
Terms of use
- Copyright holder:
- Boyce et al
- Copyright date:
- 2022
- Rights statement:
- © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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