Literature DB >> 29603415

Wood-Inspired High-Performance Ultrathick Bulk Battery Electrodes.

Lei-Lei Lu1, Yu-Yang Lu1, Zi-Jian Xiao1, Tian-Wen Zhang1, Fei Zhou1, Tao Ma1, Yong Ni1, Hong-Bin Yao1, Shu-Hong Yu1, Yi Cui2.   

Abstract

Ultrathick electrode design is a promising strategy to enhance the specific energy of Li-ion batteries (LIBs) without changing the underlying materials chemistry. However, the low Li-ion conductivity caused by ultralong Li-ion transport pathway in traditional random microstructured electrode heavily deteriorates the rate performance of ultrathick electrodes. Herein, inspired by the vertical microchannels in natural wood as the highway for water transport, the microstructures of wood are successfully duplicated into ultrathick bulk LiCoO2 (LCO) cathode via a sol-gel process to achieve the high areal capacity and excellent rate capability. The X-ray-based microtomography demonstrates that the uniform microchannels are built up throughout the whole wood-templated LCO cathode bringing in 1.5 times lower of tortuosity and ≈2 times higher of Li-ion conductivity compared to that of random structured LCO cathode. The fabricated wood-inspired LCO cathode delivers high areal capacity up to 22.7 mAh cm-2 (five times of the existing electrode) and achieves the dynamic stress test at such high areal capacity for the first time. The reported wood-inspired design will open a new avenue to adopt natural hierarchical structures to improve the performance of LIBs.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  LiCoO2; areal capacity; bio-inspired materials; tortuosity; ultrathick electrodes; wood

Year:  2018        PMID: 29603415     DOI: 10.1002/adma.201706745

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  8 in total

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8.  3D Correlative Imaging of Lithium Ion Concentration in a Vertically Oriented Electrode Microstructure with a Density Gradient.

Authors:  Chun Huang; Matthew D Wilson; Kosuke Suzuki; Enzo Liotti; Thomas Connolley; Oxana V Magdysyuk; Stephen Collins; Frederic Van Assche; Matthieu N Boone; Matthew C Veale; Andrew Lui; Rhian-Mair Wheater; Chu Lun Alex Leung
Journal:  Adv Sci (Weinh)       Date:  2022-04-11       Impact factor: 17.521

  8 in total

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