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Title: Grid indentation analysis of mechanical properties of composite electrodes in Li-ion batteries

Abstract

We report that electrodes in commercial rechargeable batteries are microscopically heterogeneous materials. The constituent components, including active materials, polymeric binders, and porous conductive matrix, often have large variation in their mechanical properties, making the mechanical characterization of composite electrodes a challenging task. In a model system of LiNi0.5Mn0.3Co0.2O2 cathode, we employ the instrumented grid indentation to determine the elastic modulus and hardness of the constituent phases. The approach relies on a large array of nanoindentation experiments and statistical analysis of the resulting data provided that the maximum indentation depth is carefully chosen. The statistically extracted properties of the active particles and the surrounding medium are in good agreement with the tests of targeted indentation at selected sites. Lastly, the combinatory technique of grid indentation and statistical deconvolution represents a fast and reliable route to quantify the mechanical properties of composite electrodes that feed the parametric input for the mechanics models.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [2];  [1]
  1. Purdue Univ., West Lafayette, IN (United States). School of Mechanical Engineering
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Energy and Transportation Science Division
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1302942
Alternate Identifier(s):
OSTI ID: 1397349
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Extreme Mechanics Letters
Additional Journal Information:
Journal Name: Extreme Mechanics Letters; Journal ID: ISSN 2352-4316
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 25 ENERGY STORAGE

Citation Formats

Vasconcelos, Luize Scalco de, Xu, Rong, Li, Jianlin, and Zhao, Kejie. Grid indentation analysis of mechanical properties of composite electrodes in Li-ion batteries. United States: N. p., 2016. Web. doi:10.1016/j.eml.2016.03.002.
Vasconcelos, Luize Scalco de, Xu, Rong, Li, Jianlin, & Zhao, Kejie. Grid indentation analysis of mechanical properties of composite electrodes in Li-ion batteries. United States. https://doi.org/10.1016/j.eml.2016.03.002
Vasconcelos, Luize Scalco de, Xu, Rong, Li, Jianlin, and Zhao, Kejie. Wed . "Grid indentation analysis of mechanical properties of composite electrodes in Li-ion batteries". United States. https://doi.org/10.1016/j.eml.2016.03.002. https://www.osti.gov/servlets/purl/1302942.
@article{osti_1302942,
title = {Grid indentation analysis of mechanical properties of composite electrodes in Li-ion batteries},
author = {Vasconcelos, Luize Scalco de and Xu, Rong and Li, Jianlin and Zhao, Kejie},
abstractNote = {We report that electrodes in commercial rechargeable batteries are microscopically heterogeneous materials. The constituent components, including active materials, polymeric binders, and porous conductive matrix, often have large variation in their mechanical properties, making the mechanical characterization of composite electrodes a challenging task. In a model system of LiNi0.5Mn0.3Co0.2O2 cathode, we employ the instrumented grid indentation to determine the elastic modulus and hardness of the constituent phases. The approach relies on a large array of nanoindentation experiments and statistical analysis of the resulting data provided that the maximum indentation depth is carefully chosen. The statistically extracted properties of the active particles and the surrounding medium are in good agreement with the tests of targeted indentation at selected sites. Lastly, the combinatory technique of grid indentation and statistical deconvolution represents a fast and reliable route to quantify the mechanical properties of composite electrodes that feed the parametric input for the mechanics models.},
doi = {10.1016/j.eml.2016.03.002},
journal = {Extreme Mechanics Letters},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 09 00:00:00 EST 2016},
month = {Wed Mar 09 00:00:00 EST 2016}
}

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Cited by: 65 works
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