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

02/19/2022
by   Adam M. Boyce, et al.
0

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.

READ FULL TEXT

page 16

page 21

page 24

page 25

page 28

page 30

page 33

research
06/25/2022

A coupled phase field formulation for modelling fatigue cracking in lithium-ion battery electrode particles

Electrode particle cracking is one of the main phenomena driving battery...
research
11/30/2021

X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance

X-ray imaging is the most popular medical imaging technology. While x-ra...
research
01/06/2023

Radiation design in computed tomography via convex optimization

Proper X-ray radiation design (via dynamic fluence field modulation, FFM...
research
02/24/2022

Microgrid Day-Ahead Scheduling Considering Neural Network based Battery Degradation Model

Battery energy storage system (BESS) can effectively mitigate the uncert...
research
02/17/2022

Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series

Image-based computational fluid dynamics have long played an important r...
research
04/26/2022

Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level

Battery cycle life prediction using early degradation data has many pote...
research
09/05/2023

Electro-Chemo-Mechanical Modeling of Multiscale Active Materials for Next-Generation Energy Storage: Opportunities and Challenges

The recent geopolitical crisis resulted in a gas price surge. Although l...

Please sign up or login with your details

Forgot password? Click here to reset