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Local Electric Field Facilitates High-Performance Li-Ion Batteries

  • Youwen Liu
  • , Tengfei Zhou
  • , Yang Zheng
  • , Zhihai He
  • , Chong Xiao*
  • , Wei Kong Pang
  • , Wei Tong
  • , Youming Zou
  • , Bicai Pan
  • , Zaiping Guo
  • , Yi Xie
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

By scrutinizing the energy storage process in Li-ion batteries, tuning Li-ion migration behavior by atomic level tailoring will unlock great potential for pursuing higher electrochemical performance. Vacancy, which can effectively modulate the electrical ordering on the nanoscale, even in tiny concentrations, will provide tempting opportunities for manipulating Li-ion migratory behavior. Herein, taking CuGeO3 as a model, oxygen vacancies obtained by reducing the thickness dimension down to the atomic scale are introduced in this work. As the Li-ion storage progresses, the imbalanced charge distribution emerging around the oxygen vacancies could induce a local built-in electric field, which will accelerate the ions' migration rate by Coulomb forces and thus have benefits for high-rate performance. Furthermore, the thus-obtained CuGeO3 ultrathin nanosheets (CGOUNs)/graphene van der Waals heterojunctions are used as anodes in Li-ion batteries, which deliver a reversible specific capacity of 1295 mAh g-1 at 100 mA g-1, with improved rate capability and cycling performance compared to their bulk counterpart. Our findings build a clear connection between the atomic/defect/electronic structure and intrinsic properties for designing high-efficiency electrode materials. © 2017 American Chemical Society.
Original languageEnglish
Pages (from-to)8519-8526
JournalACS Nano
Volume11
Issue number8
DOIs
Publication statusPublished - 22 Aug 2017
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was financially supported by National Natural Science Foundation of China (21622107, 21401182, 21331005, 11321503, and U1532265), National Basic Research Program of China (2015CB932302), the Youth Innovation Promotion Association CAS (2016392), and the Fundamental Research Funds for the Central University (WK2340000075 and WK2340000063). Financial support provided by the Australian Research Council (ARC) (DP170102406, FT150100109, and FT160100251) is gratefully acknowledged.

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

Research Keywords

  • anode
  • CuGeO3
  • Li-ion migratory behavior
  • local electric field
  • oxygen vacancies

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