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New class of nonaqueous electrolytes for long-life and safe lithium-ion batteries

Author

Listed:
  • Zonghai Chen

    (Argonne National Laboratory)

  • Yang Ren

    (Advanced Photon Source, Argonne National Laboratory)

  • Andrew N. Jansen

    (Argonne National Laboratory)

  • Chi-kai Lin

    (Argonne National Laboratory)

  • Wei Weng

    (Argonne National Laboratory)

  • Khalil Amine

    (Argonne National Laboratory)

Abstract

Long-life and safe lithium-ion batteries have been long pursued to enable electrification of the transportation system and for grid applications. However, the poor safety characteristics of lithium-ion batteries have been the major bottleneck for the widespread deployment of this promising technology. Here, we report a novel nonaqueous Li2B12F12-xHx electrolyte, using lithium difluoro(oxalato)borate as an electrolyte additive, that has superior performance to the conventional LiPF6-based electrolyte with regard to cycle life and safety, including tolerance to both overcharge and thermal abuse. Cells tested with the Li2B12F9H3-based electrolyte maintained about 70% initial capacity when cycled at 55 °C for 1,200 cycles, and the intrinsic overcharge protection mechanism was active up to 450 overcharge abuse cycles. Results from in situ high-energy X-ray diffraction showed that the thermal decomposition of the delithiated Li1-x[Ni1/3Mn1/3Co1/3]0.9O2 cathode was delayed by about 20 °C when using the Li2B12F12-based electrolyte.

Suggested Citation

  • Zonghai Chen & Yang Ren & Andrew N. Jansen & Chi-kai Lin & Wei Weng & Khalil Amine, 2013. "New class of nonaqueous electrolytes for long-life and safe lithium-ion batteries," Nature Communications, Nature, vol. 4(1), pages 1-8, June.
    • Handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms2518
    DOI: 10.1038/ncomms2518
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    Cited by:

    1. Zhang, Guangxu & Wei, Xuezhe & Tang, Xuan & Zhu, Jiangong & Chen, Siqi & Dai, Haifeng, 2021. "Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Wang, Shunli & Wu, Fan & Takyi-Aninakwa, Paul & Fernandez, Carlos & Stroe, Daniel-Ioan & Huang, Qi, 2023. "Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-curren," Energy, Elsevier, vol. 284(C).
    3. Ye, Jiana & Chen, Haodong & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Lo, Siuming, 2016. "Thermal behavior and failure mechanism of lithium ion cells during overcharge under adiabatic conditions," Applied Energy, Elsevier, vol. 182(C), pages 464-474.

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