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Quantification of Heterogeneous Degradation in Li‐Ion Batteries
Author(s) -
Yang Yang,
Xu Rong,
Zhang Kai,
Lee SangJun,
Mu Linqin,
Liu Pengfei,
Waters Crystal K.,
Spence Stephanie,
Xu Zhengrui,
Wei Chenxi,
Kautz David J.,
Yuan Qingxi,
Dong Yuhui,
Yu YoungSang,
Xiao Xianghui,
Lee HanKoo,
Pianetta Piero,
Cloetens Peter,
Lee JunSik,
Zhao Kejie,
Lin Feng,
Liu Yijin
Publication year - 2019
Publication title -
advanced energy materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.08
H-Index - 220
eISSN - 1614-6840
pISSN - 1614-6832
DOI - 10.1002/aenm.201900674
Subject(s) - materials science , electrode , lithium (medication) , fading , ionic bonding , ion , chemical physics , transformation (genetics) , diffusion , degradation (telecommunications) , nanotechnology , computer science , physics , chemistry , thermodynamics , medicine , telecommunications , biochemistry , decoding methods , quantum mechanics , gene , endocrinology
The multiscale chemomechanical interplay in lithium‐ion batteries builds up mechanical stress, provokes morphological breakdown, and leads to state of charge heterogeneity. Quantifying the interplay in complex composite electrodes with multiscale resolution constitutes a frontier challenge in precisely diagnosing the fading mechanism of batteries. In this study, hard X‐ray phase contrast tomography, capable of nanoprobing thousands of active particles at once, enables an unprecedented statistical analysis of the chemomechanical transformation of composite electrodes under fast charging conditions. The damage heterogeneity is demonstrated to prevail at all length scales, which stems from the unbalanced electron conduction and ionic diffusion, and collectively leads to the nonuniform utilization of active particles spatially and temporally. This study highlights that the statistical mapping of the chemomechanical transformation offers a diagnostic method for the particles utilization and fading, hence could improve electrode formulation for fast‐charging batteries.

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