Charge distribution guided by grain crystallographic orientations in polycrystalline battery materials

Zhengrui Xu, Zhisen Jiang, Chunguang Kuai, Rong Xu, Changdong Qin, Yan Zhang, Muhammad Mominur Rahman, Chenxi Wei, Dennis Nordlund, Cheng-Jun Sun, Xianghui Xiao, Xi-Wen Du, Kejie Zhao, Pengfei Yan, Yijin Liu () and Feng Lin ()
Additional contact information
Zhengrui Xu: Virginia Tech
Zhisen Jiang: SLAC National Accelerator Laboratory
Chunguang Kuai: Virginia Tech
Rong Xu: Purdue University
Changdong Qin: Beijing University of Technology
Yan Zhang: SLAC National Accelerator Laboratory
Muhammad Mominur Rahman: Virginia Tech
Chenxi Wei: SLAC National Accelerator Laboratory
Dennis Nordlund: SLAC National Accelerator Laboratory
Cheng-Jun Sun: Argonne National Laboratory
Xianghui Xiao: Brookhaven National Laboratory
Xi-Wen Du: Tianjin University
Kejie Zhao: Purdue University
Pengfei Yan: Beijing University of Technology
Yijin Liu: SLAC National Accelerator Laboratory
Feng Lin: Virginia Tech

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: Abstract Architecting grain crystallographic orientation can modulate charge distribution and chemomechanical properties for enhancing the performance of polycrystalline battery materials. However, probing the interplay between charge distribution, grain crystallographic orientation, and performance remains a daunting challenge. Herein, we elucidate the spatially resolved charge distribution in lithium layered oxides with different grain crystallographic arrangements and establish a model to quantify their charge distributions. While the holistic “surface-to-bulk” charge distribution prevails in polycrystalline particles, the crystallographic orientation-guided redox reaction governs the charge distribution in the local charged nanodomains. Compared to the randomly oriented grains, the radially aligned grains exhibit a lower cell polarization and higher capacity retention upon battery cycling. The radially aligned grains create less tortuous lithium ion pathways, thus improving the charge homogeneity as statistically quantified from over 20 million nanodomains in polycrystalline particles. This study provides an improved understanding of the charge distribution and chemomechanical properties of polycrystalline battery materials.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-019-13884-x

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DOI: 10.1038/s41467-019-13884-x

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