Issue 26, 2017, Issue in Progress

Advanced anodes composed of graphene encapsulated nano-silicon in a carbon nanotube network

Abstract

High-capacity silicon-based anode materials with high conductivity to promote electron/ion transfer and excellent elasticity to alleviate volume expansion during repeated lithiation/delithiation process are highly desirable for next-generation lithium-ion batteries. Herein, we developed a facile in situ synthesis method based on chemical vapor deposition to fabricate Si-based nanocomposites integrated with interlinked graphene (Gra) and carbon nanotube (CNT). With melt-assembly nanosized Cu as the catalyst, hierarchical three-dimensional conductive Gra/CNT networks were in situ grown onto Si nanoparticles (SNPs) to achieve the Si@Gra@CNT composite. Such a hierarchical structure combines multiple advantages from SNPs with a super high capacity, Gra/CNT framework with continuous electrical conductivity, and void space for tolerance of Si volume expansion. Moreover, the SNPs were conformally encapsulated by few-layer Gra (fGra), which can protect the SNPs from direct exposure to electrolyte, resulting in a stable solid–electrolyte interface. As an anode material for Li-ion battery, the as-prepared Si@Gra@CNT composite exhibited a high initial specific capacity of 1197 mA h g−1 at a current density 2.0 A g−1 and ∼82% capacity retention over 1200 cycles, which was much better than those of Si@Gra and Si@CNT composites. The mechanism for the improved electrochemical performance was further analysed from the aspect of the synergetic effect arising from the construction components.

Graphical abstract: Advanced anodes composed of graphene encapsulated nano-silicon in a carbon nanotube network

Supplementary files

Article information

Article type
Paper
Submitted
15 Feb 2017
Accepted
26 Feb 2017
First published
09 Mar 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 15694-15701

Advanced anodes composed of graphene encapsulated nano-silicon in a carbon nanotube network

X. Ding, H. Wang, X. Liu, Z. Gao, Y. Huang, D. Lv, P. He and Y. Huang, RSC Adv., 2017, 7, 15694 DOI: 10.1039/C7RA01877K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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