Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
Author(s)
Type
Journal Article
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.
Date Issued
2022-04-01
Date Acceptance
2022-02-01
Citation
Journal of Power Sources, 2022, 526, pp.1-14
ISSN
0378-7753
Publisher
Elsevier
Start Page
1
End Page
14
Journal / Book Title
Journal of Power Sources
Volume
526
Copyright Statement
© 2022 Published by Elsevier B.V.
Sponsor
Medical Research Council (MRC)
Identifier
https://www.sciencedirect.com/science/article/pii/S0378775322001422
Grant Number
MR/V024124/1
Subjects
physics.chem-ph
physics.chem-ph
cond-mat.mtrl-sci
cs.CE
03 Chemical Sciences
09 Engineering
Energy
Publication Status
Published
Article Number
231119
Date Publish Online
2022-02-19