Poly(Ionic Liquid) Electrolytes at an Extreme Salt Concentration for Solid-State Batteries

Shinji Kondou, Mohanad Abdullah, Ivan Popov, Murillo L. Martins, Luke A. O’Dell, Hiroyuki Ueda, Faezeh Makhlooghiazad, Azusa Nakanishi, Taku Sudoh, Kazuhide Ueno, Masayoshi Watanabe, Patrick Howlett, Heng Zhang, Michel Armand, Alexei P. Sokolov, Maria Forsyth, Fangfang Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Polymer-in-salt electrolytes were introduced three decades ago as an innovative solution to the challenge of low Li-ion conductivity in solvent-free solid polymer electrolytes. Despite significant progress, the approach still faces considerable challenges, ranging from a fundamental understanding to the development of suitable polymers and salts. A critical issue is maintaining both the stability and high conductivity of molten salts within a polymer matrix, which has constrained their further exploration. This research offers a promising solution by integrating cationic poly(ionic liquids) (polyIL) with a crystallization-resistive salt consisting of asymmetric anions. A stable polymer-in-salt electrolyte with an exceptionally high Li-salt content of up to 90 mol % was achieved, providing a valuable opportunity for the in-depth understanding of these electrolytes at an extremely high salt concentration. This work explicates how increased salt concentration affects coordination structures, glass transitions, ionic conductivity, and the decoupling and coupling of ion transport from structural dynamics in a polymer electrolyte, ultimately enhancing electrolyte performance. These findings provide significant knowledge advancement in the field, guiding the future design of polymer-in-salt electrolytes.

Original languageEnglish
Pages (from-to)33169-33178
Number of pages10
JournalJournal of the American Chemical Society
Volume146
Issue number48
DOIs
StatePublished - Dec 4 2024

Funding

S.K., L.A.O., H.U., F.M., P.H., M.F., and F.C. acknowledge the Australian Research Council (ARC) for funding through the Industry Transformation Training Centre for Future Energy Technologies (storEnergy) (IC180100049). S.K. acknowledges Japan Society for the Promotion of Science (JSPS) Overseas Research Fellowship, and Yamada Science Foundation for funding support. M.W., K.U., and S.K. acknowledge JSPS KAKENHI (23KK0102) for funding support. F.C. and M.F. acknowledge the Australian Research Council for funding support through the discovery projects (DP210101172, DP240101661). The simulation work was undertaken with the assistance of resources provided at the NCI National Facility systems at the Australian National University through the National Computational Merit Allocation Scheme supported by the Australian Government. This research was undertaken, in part, at the Deakin University Battery Research and Innovation Hub (BattRI-Hub), Australia.

FundersFunder number
Australian Government
Japan Society for the Promotion of Science
National Computational Infrastructure
Deakin University Battery Research and Innovation Hub
Australian Research CouncilIC180100049
Yamada Science FoundationDP240101661, DP210101172, 23KK0102

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