3D x-ray microtomography investigations on the bimodal porosity and high sulfur impregnation in 3D carbon foam for Li-S battery application

Title3D x-ray microtomography investigations on the bimodal porosity and high sulfur impregnation in 3D carbon foam for Li-S battery application
Publication TypeJournal Article
Year of Publication2022
AuthorsThripuranthaka, M, Chaturvedi, V, Dwivedi, PKumari, Torris, A, V. Shelke, M
JournalJournal of Physics-Energy
Volume4
Issue1
Pagination014003
Date PublishedJAN
Type of ArticleArticle
ISSN2515-7655
Keywordsbimodal porosity, CNF foam, Li-S battery, microtomography
Abstract

Lithium-sulfur (Li-S) batteries, regarded as one of the most promising alternatives to current state-of-the-art rechargeable Li-ion battery technologies, have received tremendous attention as potential candidates for next-generation portable electronics and the rapidly advancing electric vehicle market. However, substantial capacity decay, miserable cycle life, and meagre stability remain critical challenges. More specifically, shuttling of polysulfide (Li2S (x) (3 < x <= 8)) species severely hinders the cycle performance resulting in capacity fade and cycling instability. In the present work, a highly conducting three-dimensional (3D) carbon nanofiber (CNF) foam has been synthesized using the lyophilization method followed by thermal pyrolysis. The highly porous foam materials have a bimodal porosity distribution in the nano and micro regime and were successfully investigated to serve as a potential host for sulfur species intended for Li-S battery application. 3D x-ray microtomography was employed to estimate the nature of sulfur impregnation and distribution in the 3D porous networks. On utilizing the final product as cathode material, sulfur impregnated carbonized CNF foam and modified the separator with functionalized multiwalled carbon nanotubes delivered a specific capacity of similar to 845 mAh g(-1) at 100 mA g(-1).

DOI10.1088/2515-7655/ac4c34
Type of Journal (Indian or Foreign)

Foreign

Impact Factor (IF)

7.528

Divison category: 
Physical and Materials Chemistry
Polymer Science & Engineering
Database: 
Web of Science (WoS)

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