Bibliographic Details
| Title: |
Surficial structure regulation of SiOx material by high-energy ball milling and wet-alkali chemical reaction for lithium-ion batteries. |
| Authors: |
Mu, Xue1 (AUTHOR), Fu, Chuankai1 (AUTHOR), Mu, Tiansheng1 (AUTHOR), Li, Renlong1 (AUTHOR), Gao, Yunzhi1 (AUTHOR), Du, Chunyu1 (AUTHOR), Yin, Geping1 (AUTHOR), Zuo, Pengjian1 (AUTHOR) zuopj@hit.edu.cn |
| Source: |
Journal of Power Sources. Nov2023, Vol. 584, pN.PAG-N.PAG. 1p. |
| Subjects: |
Lithium-ion batteries, Ball mills, Chemical milling, Chemical reactions, Amorphous silicon, Surface recombination, Surface chemistry, Electric batteries |
| Abstract: |
The inhomogeneous nature of SiO x anode material on the atomic scale directly affects its electrochemical performance. A large irreversible capacity loss at the first cycle severely hinders the applications of SiO x materials in lithium ion batteries. The modification of SiO x by means of high-energy ball-milling and wet alkali chemical reaction can tune the ordering of amorphous silicon and silicon dioxide in SiO x materials, which is beneficial to the activation of nano silicon region and the surficial composition optimization of the lithiated products of SiO x during the first discharge process, and the formed Li 2 SiO 3 phase and the increased O/Si ratio in the surface of SiO x contribute to the improved cyclic performance. This surface regulation approach is quite simple, efficient and suitable for large-scale applications of high-performance SiO x anode material. [Display omitted] • The SiO x was modified via high-energy ball milling and wet-alkali chemical reaction. • The Li + ions as network modifier contributes the surface structural recombination of SiO x. • The changes in SiO x surface chemistry optimize the lithiated products of SiO x. • The increased O/Si ratio of SiO x improves the cycling performance. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Power Sources is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |