Combined NMR and molecular dynamics modeling study of transport properties in sulfonamide based deep eutectic lithium electrolytes: LiTFSI based binary systems. Issue 9 (12th February 2016)

• Record Type: Journal Article
• Authors: Pauric, Allen D.; Halalay, Ion C.; Goward, Gillian R.
• Is Part Of: Physical chemistry chemical physics. Volume 18:Issue 9(2016)
• Page Start: 6657
• Page End: 6667
• Publication Date: 2016-02-12
• Subjects: Chemistry, Physical and theoretical -- Periodicals; 541.3
• DOI: 10.1039/c5cp05811b
• Languages: English
• ISSNs: 1463-9076

Abstract

Abstract : The trend toward Li-ion batteries operating at increased (>4.3 V vs. Li/Li + ) voltages requires the development of novel classes of lithium electrolytes with electrochemical stability windows exceeding those of LiPF6 /carbonate electrolyte solutions. Abstract : The trend toward Li-ion batteries operating at increased (>4.3 V vs. Li/Li + ) voltages requires the development of novel classes of lithium electrolytes with electrochemical stability windows exceeding those of LiPF6 /carbonate electrolyte solutions. Several new classes of electrolytes have been synthesized and investigated over the past decade, in the search for LIB electrolytes with improved properties (increased hydrolytic stability, improved thermal abuse tolerance, higher oxidation voltages, etc. ) compared with the present state-of-the-art LiPF6 and organic carbonates-based formulations. Among these are deep eutectic electrolytes (DEEs), which share many beneficial characteristics with ionic liquids, such as low vapor pressure and large electrochemical stability windows, with the added advantage of a significantly higher lithium transference number. The present work presents the pulsed field gradient NMR characterization of the transport properties (diffusion coefficients and cation transport numbers) of binary DEEs consisting of a sulfonamide solvent and lithium bis(trifluoromethanesulfonyl)imide salt. Insights into the structural and dynamical properties, which enable one to rationalize the observed ionic conductivity behavior were obtained from a combination of NMR data and MD simulations. The insights thus gained should assist the formulation of novel DEEs with improved properties for LIB applications.