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Stabilizing lithium metal using ionic liquids for long-lived batteries

Author

Listed:
  • A. Basile

    (School of Applied Sciences, Applied Chemistry, RMIT University
    Energy Flagship, Commonwealth Scientific and Industrial Research Organisation, Clayton
    Present address: Institute for Frontier Materials, Deakin University, Burwood, Victoria 3125, Australia.)

  • A. I. Bhatt

    (Energy Flagship, Commonwealth Scientific and Industrial Research Organisation, Clayton)

  • A. P. O’Mullane

    (School of Applied Sciences, Applied Chemistry, RMIT University
    School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology)

Abstract

Suppressing dendrite formation at lithium metal anodes during cycling is critical for the implementation of future lithium metal-based battery technology. Here we report that it can be achieved via the facile process of immersing the electrodes in ionic liquid electrolytes for a period of time before battery assembly. This creates a durable and lithium ion-permeable solid–electrolyte interphase that allows safe charge–discharge cycling of commercially applicable Li|electrolyte|LiFePO4 batteries for 1,000 cycles with Coulombic efficiencies >99.5%. The tailored solid–electrolyte interphase is prepared using a variety of electrolytes based on the N-propyl-N-methylpyrrolidinium bis(fluorosulfonyl)imide room temperature ionic liquid containing lithium salts. The formation is both time- and lithium salt-dependant, showing dynamic morphology changes, which when optimized prevent dendrite formation and consumption of electrolyte during cycling. This work illustrates that a simple, effective and industrially applicable lithium metal pretreatment process results in a commercially viable cycle life for a lithium metal battery.

Suggested Citation

  • A. Basile & A. I. Bhatt & A. P. O’Mullane, 2016. "Stabilizing lithium metal using ionic liquids for long-lived batteries," Nature Communications, Nature, vol. 7(1), pages 1-11, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11794
    DOI: 10.1038/ncomms11794
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    Cited by:

    1. Kai Li & Jifeng Wang & Yuanyuan Song & Ying Wang, 2023. "Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Yuanliang Chen & Xingping Yuan & Cuiping He & Qingyi Gou & Ni Yang & Gang Xie & Keyu Zhang & Yaochun Yao & Yanqing Hou, 2023. "Mechanistic Exploration of Dendrite Growth and Inhibition for Lithium Metal Batteries," Energies, MDPI, vol. 16(9), pages 1-18, April.

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