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Aging diagnostics in lithium-ion batteries with differential mechanical measurements

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  • Clerici, Davide
  • Pistorio, Francesca
  • Somà, Aurelio

Abstract

This work investigates how the mechanical response of lithium-ion batteries evolves with aging and demonstrates how mechanical measurements can be used to estimate degradation mechanisms, presenting interesting advantages over traditional voltage-based methods. A lithium cobalt oxide-graphite battery was cycled over 1,000 times to a state of health of 70%, with periodic performance tests measuring capacity, resistance, voltage, temperature, and deformation during the charge/discharge cycles. The deformation measurements can be distinguished into a reversible component (expansion during charge recovered with the shrinkage during discharge) and an irreversible component (increase of the battery thickness through aging).

Suggested Citation

  • Clerici, Davide & Pistorio, Francesca & Somà, Aurelio, 2025. "Aging diagnostics in lithium-ion batteries with differential mechanical measurements," Applied Energy, Elsevier, vol. 386(C).
    • Handle: RePEc:eee:appene:v:386:y:2025:i:c:s0306261925002545
    DOI: 10.1016/j.apenergy.2025.125524
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    References listed on IDEAS

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    1. Davide Clerici & Francesco Mocera & Aurelio Somà, 2020. "Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery," Energies, MDPI, vol. 13(7), pages 1-20, April.
    2. Davide Clerici & Francesco Mocera & Aurelio Somà, 2020. "Shape Influence of Active Material Micro-Structure on Diffusion and Contact Stress in Lithium-Ion Batteries," Energies, MDPI, vol. 14(1), pages 1-18, December.
    3. Francesca Pistorio & Davide Clerici & Francesco Mocera & Aurelio Somà, 2022. "Review on the Experimental Characterization of Fracture in Active Material for Lithium-Ion Batteries," Energies, MDPI, vol. 15(23), pages 1-47, December.
    4. Kristen A. Severson & Peter M. Attia & Norman Jin & Nicholas Perkins & Benben Jiang & Zi Yang & Michael H. Chen & Muratahan Aykol & Patrick K. Herring & Dimitrios Fraggedakis & Martin Z. Bazant & Step, 2019. "Data-driven prediction of battery cycle life before capacity degradation," Nature Energy, Nature, vol. 4(5), pages 383-391, May.
    5. Peter M. Attia & Aditya Grover & Norman Jin & Kristen A. Severson & Todor M. Markov & Yang-Hung Liao & Michael H. Chen & Bryan Cheong & Nicholas Perkins & Zi Yang & Patrick K. Herring & Muratahan Ayko, 2020. "Closed-loop optimization of fast-charging protocols for batteries with machine learning," Nature, Nature, vol. 578(7795), pages 397-402, February.
    6. Lisa K. Willenberg & Philipp Dechent & Georg Fuchs & Dirk Uwe Sauer & Egbert Figgemeier, 2020. "High-Precision Monitoring of Volume Change of Commercial Lithium-Ion Batteries by Using Strain Gauges," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    7. Davide Clerici & Francesco Mocera & Aurelio Somà, 2021. "Experimental Characterization of Lithium-Ion Cell Strain Using Laser Sensors," Energies, MDPI, vol. 14(19), pages 1-17, October.
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