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contributor authorZheng, Zhuoyuan
contributor authorChen, Bo
contributor authorXu, Yanwen
contributor authorFritz, Nathan
contributor authorGurumukhi, Yashraj
contributor authorCook, John
contributor authorAtes, Mehmet N.
contributor authorMiljkovic, Nenad
contributor authorBraun, Paul V.
contributor authorWang, Pingfeng
date accessioned2022-02-04T14:41:49Z
date available2022-02-04T14:41:49Z
date copyright2020/05/11/
date issued2020
identifier issn2381-6872
identifier otherjeecs_18_1_011011.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274184
description abstractSilicon-based anodes are one of the promising candidates for the next generation high-power/energy density lithium ion batteries (LIBs). However, a major drawback limiting the practical application of the Si anode is that Si experiences a significant volume change during lithiation/delithiation, which induces high stresses causing degradation and pulverization of the anode. This study focuses on crack initiation within a Si anode during the delithiation process. A multi-physics-based finite element (FE) model is built to simulate the electrochemical process and crack generation during delithiation. On top of that, a Gaussian process (GP)-based surrogate model is developed to assist the exploration of the crack patterns within the anode design space. It is found that the thickness of the Si coating layer, TSi, the yield strength of the Si material, σFc, the cohesive strength between Si and the substrate, σFs, and the curvature of the substrate, ρ, have large impacts on the cracking behavior of Si. This coupled FE simulation-GP surrogate model framework is also applicable to other types of LIB electrodes and provides fundamental insights as building blocks to investigate more complex internal geometries.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Gaussian Process-Based Crack Pattern Modeling Approach for Battery Anode Materials Design
typeJournal Paper
journal volume18
journal issue1
journal titleJournal of Electrochemical Energy Conversion and Storage
identifier doi10.1115/1.4046938
page11011
treeJournal of Electrochemical Energy Conversion and Storage:;2020:;volume( 018 ):;issue: 001
contenttypeFulltext


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