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contributor authorRoberts, Scott A.
contributor authorMendoza, Hector
contributor authorBrunini, Victor E.
contributor authorTrembacki, Bradley L.
contributor authorNoble, David R.
contributor authorGrillet, Anne M.
date accessioned2017-11-25T07:20:57Z
date available2017-11-25T07:20:57Z
date copyright2016/10/20
date issued2016
identifier issn2381-6872
identifier otherjeecs_013_03_031005.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236780
description abstractBattery 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleInsights Into Lithium-Ion Battery Degradation and Safety Mechanisms From Mesoscale Simulations Using Experimentally Reconstructed Mesostructures
typeJournal Paper
journal volume13
journal issue3
journal titleJournal of Electrochemical Energy Conversion and Storage
identifier doi10.1115/1.4034410
journal fristpage31005
journal lastpage031005-10
treeJournal of Electrochemical Energy Conversion and Storage:;2016:;volume( 013 ):;issue: 003
contenttypeFulltext


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