Cracking predictions of lithium-ion battery electrodes by X-ray computed tomography and modelling

Adam M. Boyce, Emilio Martínez-Pañeda, Aaron Wade, Ye Shui Zhang, Josh J. Bailey, Thomas M.M. Heenan, Dan J.L. Brett, Paul R. Shearing*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)
56 Downloads (Pure)

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.

Original languageEnglish
Article number231119
JournalJournal of Power Sources
Volume526
Early online date19 Feb 2022
DOIs
Publication statusPublished - 01 Apr 2022

Bibliographical note

Publisher Copyright:
© 2022

Keywords

  • Electrode
  • Fracture
  • Image-based model
  • Lithium-ion battery
  • Microstructure
  • Phase field

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

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