1. Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling
- Author
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Boyce, Adam M., Martínez-Pañeda, Emilio, Wade, Aaron, Zhang, Ye Shui, Bailey, Josh J., Heenan, Thomas M. M., Brett, Dan J. L., and Shearing, Paul R.
- Subjects
Physics - Chemical Physics ,Condensed Matter - Materials Science ,Computer Science - Computational Engineering, Finance, and Science - 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.
- Published
- 2022
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