About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
|
Symposium
|
Grain Boundaries, Interfaces, and Surfaces: Fundamental Structure-Property-Performance Relationships
|
Presentation Title |
Multiphysics-Based Data Analytics of LiMn2O4 Particles Decrepitation |
Author(s) |
Alfredo Sanjuan Sanjuan, Edwin García |
On-Site Speaker (Planned) |
Alfredo Sanjuan Sanjuan |
Abstract Scope |
Existing microstructural design approaches in rechargeable Lithium-Ion Batteries (LIBs) aimed to optimize length of life and reliability are based on empirical trial and error efforts or very specific to a particular preconceived notion of how an LIB is expected to fail.
While LIB degradation can be result of multiple, often coupled mechanisms, the development of unbiased realistic fracture criteria is only possible by considering the data analytics of the space of possible chemomechanical decrepitation microstructural mechanisms.
In this paper, by using an accelerated finite element implementation (with a wall time at least three orders of magnitude faster than conventional approaches), the different regimes of decrepitation in LiMn2O4 particles are identified and mapped out. Different charge-discharge processes are considered, and potential solutions to mitigate failure are discussed. |