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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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Publisher copy:
10.1016/j.jpowsour.2022.231119

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


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:
1873-2755
ISSN:
0378-7753


Language:
English
Keywords:
Pubs id:
1608371
Local pid:
pubs:1608371
Deposit date:
2024-02-27

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