Revealing the Solvation Structure and Dynamics of Carbonate Electrolytes in Lithium-Ion Batteries by Two-Dimensional Infrared Spectrum Modeling

Chungwen Liang, Kyungwon Kwak, Minhaeng Cho

    Research output: Contribution to journalArticlepeer-review

    56 Citations (Scopus)

    Abstract

    Carbonate electrolytes in lithium-ion batteries play a crucial role in conducting lithium ions between two electrodes. Mixed solvent electrolytes consisting of linear and cyclic carbonates are commonly used in commercial lithium-ion batteries. To understand how the linear and cyclic carbonates introduce different solvation structures and dynamics, we performed molecular dynamics simulations of two representative electrolyte systems containing either linear or cyclic carbonate solvents. We then modeled their two-dimensional infrared (2DIR) spectra of the carbonyl stretching mode of these carbonate molecules. We found that the chemical exchange process involving formation and dissociation of lithium-ion/carbonate complexes is responsible for the growth of 2DIR cross peaks with increasing waiting time. In addition, we also found that cyclic carbonates introduce faster dynamics of dissociation and formation of lithium-ion/carbonate complexes than linear carbonates. These findings provide new insights into understanding the lithium-ion mobility and its interplay with solvation structure and ultrafast dynamics in carbonate electrolytes used in lithium-ion batteries.

    Original languageEnglish
    Pages (from-to)5779-5784
    Number of pages6
    JournalJournal of Physical Chemistry Letters
    Volume8
    Issue number23
    DOIs
    Publication statusPublished - 2017 Dec 7

    Bibliographical note

    Publisher Copyright:
    © 2017 American Chemical Society.

    ASJC Scopus subject areas

    • General Materials Science
    • Physical and Theoretical Chemistry

    Fingerprint

    Dive into the research topics of 'Revealing the Solvation Structure and Dynamics of Carbonate Electrolytes in Lithium-Ion Batteries by Two-Dimensional Infrared Spectrum Modeling'. Together they form a unique fingerprint.

    Cite this