Insights Into Lithium-Ion Battery Degradation and Safety Mechanisms From Mesoscale Simulations Using Experimentally Reconstructed Mesostructures
Author(s) -
Scott Alan Roberts,
Hector Mendoza,
Victor Brunini,
Bradley Trembacki,
David R. Noble,
Anne Grillet
Publication year - 2016
Publication title -
journal of electrochemical energy conversion and storage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 13
eISSN - 2381-6910
pISSN - 2381-6872
DOI - 10.1115/1.4034410
Subject(s) - mesoscale meteorology , materials science , battery (electricity) , lithium (medication) , particle (ecology) , lithium ion battery , electrode , nanotechnology , degradation (telecommunications) , electrochemistry , computer science , physics , meteorology , geology , medicine , telecommunications , power (physics) , oceanography , quantum mechanics , endocrinology
Battery performance, while observed at the macroscale, is primarily governed by the bicontinuous mesoscale network of the active particles and a polymeric conductive binder in its electrodes. Manufacturing processes affect this mesostructure, and therefore battery performance, in ways that are not always clear outside of empirical relationships. Directly studying the role of the mesostructure is difficult due to the small particle sizes (a few microns) and large mesoscale structures. Mesoscale simulation, however, is an emerging technique that allows the investigation into how particle-scale phenomena affect electrode behavior. In this manuscript, we discuss our computational approach for modeling electrochemical, mechanical, and thermal phenomena of lithium-ion batteries at the mesoscale. We review our recent and ongoing simulation investigations and discuss a path forward for additional simulation insights.
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