Title: Silicon-based anode materials with three-dimensional conductive network for high-performance lithium ion batteries

Authors: Liekai Liu; Pingjian Niu; Biaohui Huang; Ling Chai; Jingming Zheng; Xinglei Deng; Li Song; Weiqing Chen; Zhihao Yue; Lang Zhou; Hao Tang

Addresses: Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China ' Institute of Photovoltaics, Nanchang University, Nanchang 330031, China

Abstract: Silicon (Si) is expected to replace graphite as the next generation anode material for lithium-ion batteries (LIBs). However, Si has a low electron conductivity and large volume changing during the lithiation/delithiation process, which limits the commercialisation of the Si anode. In this paper, micron whisker carbon nanotubes (MWCNTs) and graphene oxides (GO) were used to construct a three-dimensional conductive network to improve the electrochemical performance of the Si anode. The study found that GO and MWCNTs can greatly improve the performance of Si-based anode. Among them, 5% GO/Si composite exhibited the highest charge capacity retention of 92.3%, maintains a capacity of 520.9 mAh/g (contribution of micron Si is about 3388 mAh/g) after 10 cycles.

Keywords: lithium-ion batteries; LIB; anode materials; three-dimensional conductive network; Si-based anode.

DOI: 10.1504/IJNM.2019.097245

International Journal of Nanomanufacturing, 2019 Vol.15 No.1/2, pp.118 - 126

Received: 23 Apr 2017
Accepted: 26 Oct 2017
Published online: 07 Jan 2019 *

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