Dynamics of particle network in composite battery cathodes

Author:

Li Jizhou1ORCID,Sharma Nikhil2ORCID,Jiang Zhisen1ORCID,Yang Yang3ORCID,Monaco Federico3ORCID,Xu Zhengrui4ORCID,Hou Dong4ORCID,Ratner Daniel5ORCID,Pianetta Piero1ORCID,Cloetens Peter3ORCID,Lin Feng4ORCID,Zhao Kejie2ORCID,Liu Yijin1ORCID

Affiliation:

1. Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

2. School of Mechanical Engineering, Purdue University, West Lafayette, IN 47906, USA.

3. European Synchrotron Radiation Facility, Grenoble 38000, France.

4. Department of Chemistry, Virginia Tech, Blacksburg, VA 24061, USA.

5. Machine Learning Initiative, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

Abstract

Improving composite battery electrodes requires a delicate control of active materials and electrode formulation. The electrochemically active particles fulfill their role as energy exchange reservoirs through interacting with the surrounding conductive network. We formulate a network evolution model to interpret the regulation and equilibration between electrochemical activity and mechanical damage of these particles. Through statistical analysis of thousands of particles using x-ray phase contrast holotomography in a LiNi 0.8 Mn 0.1 Co 0.1 O 2 -based cathode, we found that the local network heterogeneity results in asynchronous activities in the early cycles, and subsequently the particle assemblies move toward a synchronous behavior. Our study pinpoints the chemomechanical behavior of individual particles and enables better designs of the conductive network to optimize the utility of all the particles during operation.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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