Issue 48, 2017, Issue in Progress

Silica template-assisted synthesis of SnO2@porous carbon composites as anode materials with excellent rate capability and cycling stability for lithium-ion batteries

Abstract

In this study, a type of porous carbon-coated SnO2 nanoparticle composite (SnO2@PC) was produced in the presence of a silica template. The prepared SnO2@PC composite displays a highly specific surface area (SSA) and large pore volume compared with common porous carbons. Electrochemical testing demonstrates that as an anode material the SnO2@PC1 composite can deliver a specific capacity of 1130.1 m Ah g−1 at a current density of 0.2 A g−1 after 100 cycles, which is much higher than that of pure SnO2 anodes. The specific capacity of the SnO2@PC1 anode is as high as 770.3 m Ah g−1 at a current density of 0.5 A g−1 after 300 cycles, indicating excellent rate and cycling capability. The superior lithium storage performance of the SnO2@PC1 composite can be attributed to the synergistic effect of the porous carbon and SnO2 nanoparticles. In addition, the large specific surface area and pore volume of the SnO2@PC1 composite can significantly shorten the diffusion path of lithium ions and provide a sufficient internal void space for volume change. The proposed synthetic approach is facile, controllable, and economical, and can be applied in producing carbon coatings for other transition metal oxide-based composite functional materials.

Graphical abstract: Silica template-assisted synthesis of SnO2@porous carbon composites as anode materials with excellent rate capability and cycling stability for lithium-ion batteries

Supplementary files

Article information

Article type
Paper
Submitted
28 Mar 2017
Accepted
31 May 2017
First published
09 Jun 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 30070-30079

Silica template-assisted synthesis of SnO2@porous carbon composites as anode materials with excellent rate capability and cycling stability for lithium-ion batteries

J. Guo, P. Li, L. Chai, Y. Su, J. Diao and X. Guo, RSC Adv., 2017, 7, 30070 DOI: 10.1039/C7RA03594B

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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