Advanced   Register
IMR OpenIR  > 中国科学院金属研究所  > 期刊论文

题名: Single-wall carbon nanotube network enabled ultrahigh sulfur-content electrodes for high-performance lithium-sulfur batteries
作者: Fang, Ruopian;  Li, Guoxian;  Zhao, Shiyong;  Yin, Lichang;  Du, Kui;  Hou, Pengxiang;  Wang, Shaogang;  Cheng, Hui-Ming;  Liu, Chang;  Li, Feng
发表日期: 2017-12-1
摘要: Lithium-sulfur (Li-S) batteries are among the most promising candidates for the next-generation energy storage systems. However, challenges regarding the limited sulfur content and areal sulfur loading in the cathode lead to a low areal capacity that cannot even outperform state-of-the-art lithium-ion batteries, which greatly offsets the high-energy advantage of Li-S batteries and further hinders their practical use. Here, we theoretically indicated that the electronic conduction efficiency of the sulfur host nanomaterial plays a crucial role in determining the sulfur content, and a highly efficient single-wall carbon nanotube (SWCNT) conductive network was constructed for our proof-of-concept studies, resulting in an unprecedentedly high sulfur content up to 95 wt%. The interwoven SWCNTs not only provide abundant paths for electron and lithium ion transport, but also facilitate polysulfides trapping during sulfur conversion reactions. As a result, a high areal capacity of 8.63 mA h cm(-2) was obtained with a high areal sulfur loading of 7.2 mg cm(-2), much higher than that of lithium-ion batteries (4 mA h cm(-2)). Our approach demonstrates a new design concept for the electrode materials of high-energy-density lithium-sulfur batteries and could possibly be extended to other electrochemical energy storage systems.
Appears in Collections:中国科学院金属研究所_期刊论文

Files in This Item:

There are no files associated with this item.

Recommended Citation:
Fang, Ruopian,Li, Guoxian,Zhao, Shiyong,et al. Single-wall Carbon Nanotube Network Enabled Ultrahigh Sulfur-content Electrodes For High-performance Lithium-sulfur Batteries[J]. Elsevier Science Bv,2017,42:205-214.

SCI Citaion Data:
 Recommend this item
 Sava as my favorate item
 Show this item's statistics
 Export Endnote File
Google Scholar
 Similar articles in Google Scholar
 [Fang, Ruopian]'s Articles
 [Li, Guoxian]'s Articles
 [Zhao, Shiyong]'s Articles
CSDL cross search
 Similar articles in CSDL Cross Search
 [Fang, Ruopian]‘s Articles
 [Li, Guoxian]‘s Articles
 [Zhao, Shiyong]‘s Articles
Scirus search
 Similar articles in Scirus
Related Copyright Policies
Social Bookmarking
  Add to CiteULike  Add to Connotea  Add to  Add to Digg  Add to Reddit 
所有评论 (0)
内 容:
Email:  *
验证码:   刷新
标 题:
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.



Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院金属研究所  -Feedback
Powered by CSpace