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

Corentin Renais, Benjamin Mercier-Guyon, David Wasylowski, Morian Sonnet, Phillip Dechent, Maxime Servajon, Nils Blanc, Sandrine Lyonnard, Dirk Uwe Sauer and Claire Villevieille ()
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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
Morian Sonnet: RWTH Aachen University
Phillip Dechent: RWTH Aachen University
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
Claire Villevieille: Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble INP, LEPMI

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: 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.

Date: 2025
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DOI: 10.1038/s41467-025-62935-z

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