.png){kind=icon}
.png){kind=icon}
Return
Cycling stability improvement of new architecture nSi/SiOx/RGO hybrid negative electrodes for next generation Li based batteries
.png){kind=icon}
OA
AI
I
M
H
A
DOI：10.1016/j.elecom.2026.108155.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Hybrid nSi/SiOx/RGO anodes were designed to regulate interfacial reactions, stabilize the solid electrolyte interphase, and alleviate silicon surface degradation during prolonged cycling in lithium-ion batteries. The nanocomposite was synthesized via an electrostatic self-assembly route, enabling intimate interfacial contact between silicon-based phases and reduced graphene oxide, thereby forming a conductive and mechanically resilient surface framework. Electrochemical characterization revealed that the tailored interface significantly reduced charge transfer resistance and facilitated lithium-ion transport. After 200 cycles, the nSi/SiOx/RGO electrode displayed a low charge transfer resistance of 26.62 S2 and an improved Li+ diffusion coefficient of 3.30 & times; 10-9 cm2 s-1, compared to pristine nSi (127 S2 and 1.34 & times; 10-11 cm2 s-1). The electrode retained a high reversible capacity of 1851 mAh g-1 at C/20, indicating stable surface chemistry during cycling. Electrochemical impedance spectroscopy confirmed suppressed SEI resistance, suggesting the formation of a uniform and stable interfacial layer. Cyclic voltammetry analysis demonstrated a combined diffusion-controlled and dominated surface-capacitive lithium storage mechanism, indicative of accelerated interfacial kinetics. Cross-sectional FESEM confirmed that RGO encapsulation constrained silicon expansion, while XPS analysis revealed a higher LiF contribution in the SEI of nSi/SiOx/RGO compared with nSi, indicating improved interfacial stability. These findings highlight the essential importance of interface engineering strategies.
Keywords:
nSi/SiOx/RGO hybrid anodes
3D RGO conductive framework
SiOx buffer layer
SEI Stability
Volume expansion mitrigation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.2
Papers:
1.6K
Citations:
1.6W
Organization
Cited Papers