Issue 16, 2023

In situ preparation of double gradient anode materials based on polysiloxane for lithium-ion batteries

Abstract

Although silicon has a high volumetric energy density as an anode material for Li-ion batteries, its volumetric expansion and sluggish Li+ migration kinetics need to be urgently addressed. In this work, cage-like structure materials (HRPOSS) derived from the in situ hydrogen reduction of polyhedral oligomeric silsesquioxane (T8-type POSS) were constructed as an Si@C anode for Li-ion batteries. Benefiting from the intriguing features of the Si/N double gradient and even-distributed silicon, HRPOSS-6 exhibited faint volume changes and fast ion-electron kinetics. Moreover, the uniformly immobilized nano-silicic and concentration gradient were favorable for accelerated ion migration. Therefore, HRPOSS-6 exhibited good electrochemical performances given that its cage structure could relieve the volume expansion. HRPOSS-6 demonstrated a high reversible capacity of 1814.1 mA h g−1 and long cycling performance after 200 cycles with 635 mA h g−1 at a current density of 0.5 A g−1. Accordingly, this Si/C/N composite exhibited great potential for high energy Li-ion batteries, where the corresponding full-cell (HRPOSS-6//LiNi0.6Co0.2Mn0.2O2) showed a cycle life of 200 cycles with over 80% capacity retention at rate of 1C. This work exploits the concentration gradients of dual elements for the capacity improvement of Si anodes and offers insight into the development of high-performance Si@C anode materials for advanced Li-ion batteries.

Graphical abstract: In situ preparation of double gradient anode materials based on polysiloxane for lithium-ion batteries

Supplementary files

Article information

Article type
Paper
Submitted
29 Apr 2023
Accepted
22 Jun 2023
First published
22 Jun 2023
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2023,5, 4158-4166

In situ preparation of double gradient anode materials based on polysiloxane for lithium-ion batteries

S. Guan, C. Xu, Y. Chen, Y. Zhang, L. Li, H. Zhang, B. An, H. Yang, W. Zhou, C. Sun, D. Ju and X. Geng, Nanoscale Adv., 2023, 5, 4158 DOI: 10.1039/D3NA00285C

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