Skip to main navigation Skip to search Skip to main content

Modelling and simulation of electron-rich effect on Li diffusion in group IVA elements (Si, Ge and Sn) for Li ion batteries

  • Zhiguo Wang*
  • , Qiulei Su
  • , Huiqiu Deng
  • , Weidong He
  • , Junhao Lin
  • , Y. Q. Fu
  • *Corresponding author for this work
  • University of Electronic Science and Technology of China
  • Hunan University
  • Vanderbilt University
  • University of the West of Scotland

Research output: Contribution to journalArticlepeer-review

Abstract

Improvements in the electrical conductivity and lithium (Li) mobility for Li ion batteries are of particular importance for their high-power applications. Mapping of electron energy loss spectroscopy shows that the electrochemical reaction front region is under electron-rich conditions during lithiation. In this paper, the electron-rich effect on the diffusion behaviors of Li in pristine and phosphorus-doped group IVA elements, e.g., silicon, germanium and tin, were investigated using the first principles density functional theory (DFT) calculations in combination with a climbing-image nudged elastic band and ab initio DFT molecular dynamics. Phosphorus doping was found to be a non-critical factor for enhanced Li diffusion into Si. Instead, the results showed that the diffusion barriers and diffusivity of Li are mainly affected by the electron-rich effect, i.e. the energy barriers decrease and diffusivity increases in an electron-rich environment. The decrease in diffusion barriers was attributed to the relaxation of Si-Si bonds with extra electrons, which can also apply to the case of Ge but not for metallic Sn. These new findings provide a theoretical and experimental basis for the design and fabrication of next generation batteries with a high power density. This journal is

Original languageEnglish
Pages (from-to)13976-13982
Number of pages7
JournalJournal of Materials Chemistry A
Volume2
Issue number34
DOIs
StatePublished - 14 Sep 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Fingerprint

Dive into the research topics of 'Modelling and simulation of electron-rich effect on Li diffusion in group IVA elements (Si, Ge and Sn) for Li ion batteries'. Together they form a unique fingerprint.

Cite this