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Electron paramagnetic resonance imaging for real-time monitoring of Li-ion batteries

Author

Listed:
  • M. Sathiya

    (Collège de France
    Sorbonne Universités, UPMC Univ Paris 06)

  • J.-B. Leriche

    (LRCS, CNRS UMR 7314, Université de Picardie Jules Verne)

  • E. Salager

    (CNRS, CEMHTI (UPR3079), Université d’Orléans
    Réseau sur le Stockage Electrochimique de l’Energie (RS2E), FR CNRS)

  • D. Gourier

    (PSL Research University Chimie Paristech)

  • J.-M. Tarascon

    (Collège de France
    Sorbonne Universités, UPMC Univ Paris 06
    Réseau sur le Stockage Electrochimique de l’Energie (RS2E), FR CNRS)

  • H. Vezin

    (University Lille Nord de France, CNRS, UMR 8516—LASIR, University Lille 1)

Abstract

Batteries for electrical storage are central to any future alternative energy paradigm. The ability to probe the redox mechanisms occurring at electrodes during their operation is essential to improve battery performances. Here we present the first report on Electron Paramagnetic Resonance operando spectroscopy and in situ imaging of a Li-ion battery using Li2Ru0.75Sn0.25O3, a high-capacity (>270 mAh g−1) Li-rich layered oxide, as positive electrode. By monitoring operando the electron paramagnetic resonance signals of Ru5+ and paramagnetic oxygen species, we unambiguously prove the formation of reversible (O2)n− species that contribute to their high capacity. In addition, we visualize by imaging with micrometric resolution the plating/stripping of Li at the negative electrode and highlight the zones of nucleation and growth of Ru5+/oxygen species at the positive electrode. This efficient way to locate ‘electron’-related phenomena opens a new area in the field of battery characterization that should enable future breakthroughs in battery research.

Suggested Citation

  • M. Sathiya & J.-B. Leriche & E. Salager & D. Gourier & J.-M. Tarascon & H. Vezin, 2015. "Electron paramagnetic resonance imaging for real-time monitoring of Li-ion batteries," Nature Communications, Nature, vol. 6(1), pages 1-7, May.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7276
    DOI: 10.1038/ncomms7276
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    Cited by:

    1. Lyu, Chao & Song, Yankong & Zheng, Jun & Luo, Weilin & Hinds, Gareth & Li, Junfu & Wang, Lixin, 2019. "In situ monitoring of lithium-ion battery degradation using an electrochemical model," Applied Energy, Elsevier, vol. 250(C), pages 685-696.

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