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Exploring electrochemical dynamics in graphite||LiNi0.8Mn0.1Co0.1O2 cells via operando ultrasound and multiprobe approaches

Author

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  • Corentin Renais

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI)

  • Benjamin Mercier-Guyon

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI)

  • David Wasylowski

    (RWTH Aachen University
    Center for Ageing, Reliability and Lifetime Prediction for Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University
    Jülich Aachen Research Alliance, JARA Energy)

  • Morian Sonnet

    (RWTH Aachen University
    Center for Ageing, Reliability and Lifetime Prediction for Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University
    Jülich Aachen Research Alliance, JARA Energy)

  • Phillip Dechent

    (RWTH Aachen University
    Center for Ageing, Reliability and Lifetime Prediction for Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University
    Jülich Aachen Research Alliance, JARA Energy)

  • Maxime Servajon

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI)

  • Nils Blanc

    (Université Grenoble Alpes, CNRS, Grenoble INP, Institut Néel)

  • Sandrine Lyonnard

    (Université Grenoble Alpes, CEA, CNRS, IRIG, SyMMES)

  • Dirk Uwe Sauer

    (RWTH Aachen University
    Center for Ageing, Reliability and Lifetime Prediction for Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University
    Jülich Aachen Research Alliance, JARA Energy
    Helmholtz Institute Münster: Ionics in Energy Storage (HI MS), IMD-4, Forschungszentrum Jülich)

  • Claire Villevieille

    (Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI)

Abstract

Ultrasound techniques are increasingly used to probe the internal dynamics of batteries to obtain cost-effective, real-time insights into electrochemical processes. However, prior studies have established only superficial correlations between ultrasound and electrochemical parameters, thus limiting the understanding of signal variations during cycling. In this study, the interpretability of these variations is improved by combining operando ultrasound measurements with synchrotron X-ray diffraction and nanodilatometry measurements during electrochemical cycling and relaxation. We show that at battery states of charge from 10% to 80%, ultrasound signals reflect primarily the change in the graphite electrode, particularly its elastic modulus during lithiation. At battery states of charge between 80% and 100%, the H2 → H3 phase transition in LiNi0.8Mn0.1Co0.1O2 affects the ultrasound signal. This multimodal approach enhances the understanding of how mechanical and structural battery dynamics influence ultrasound signals, thus marking a step forward in the interpretation of acoustic data in commercial cells via advanced synchrotron techniques.

Suggested Citation

  • Corentin Renais & Benjamin Mercier-Guyon & David Wasylowski & Morian Sonnet & Phillip Dechent & Maxime Servajon & Nils Blanc & Sandrine Lyonnard & Dirk Uwe Sauer & Claire Villevieille, 2025. "Exploring electrochemical dynamics in graphite||LiNi0.8Mn0.1Co0.1O2 cells via operando ultrasound and multiprobe approaches," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62935-z
    DOI: 10.1038/s41467-025-62935-z
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    References listed on IDEAS

    as
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    3. Berecibar, M. & Gandiaga, I. & Villarreal, I. & Omar, N. & Van Mierlo, J. & Van den Bossche, P., 2016. "Critical review of state of health estimation methods of Li-ion batteries for real applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 572-587.
    4. Li, Xiaoyu & Yuan, Changgui & Wang, Zhenpo, 2020. "State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression," Energy, Elsevier, vol. 203(C).
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