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POLIDEMO: An electrochemical-mechanical framework for modeling lithium-ion batteries degradation

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

Abstract

Lithium-ion battery performance decay is driven by electrochemical and mechanical degradation, posing significant challenges for an accurate prediction of aging, which depends on battery design parameters and operating conditions. Physics-based models are extensively developed in the literature to address this issue. This work introduces POLIDEMO, a novel physics-based degradation model that predicts the evolution of electrical and mechanical performance during battery usage. POLIDEMO integrates the Single Particle Model to describe the electrochemical behavior with a mechanical sub-model to account for reversible deformation and stress within the electrode microstructure.

Suggested Citation

  • Pistorio, Francesca & Clerici, Davide & Somà, Aurelio, 2026. "POLIDEMO: An electrochemical-mechanical framework for modeling lithium-ion batteries degradation," Applied Energy, Elsevier, vol. 404(C).
  • Handle: RePEc:eee:appene:v:404:y:2026:i:c:s0306261925014746
    DOI: 10.1016/j.apenergy.2025.126744
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    References listed on IDEAS

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    1. Pistorio, Francesca & Clerici, Davide & Somà, Aurelio, 2025. "Diagnostics methodology based on differential mechanical measurements for lithium-ion batteries," Applied Energy, Elsevier, vol. 397(C).
    2. 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.
    3. Jie Xiao & Nicole Adelstein & Yujing Bi & Wenjuan Bian & Jordi Cabana & Corie L. Cobb & Yi Cui & Shen J. Dillon & Marca M. Doeff & Saiful M. Islam & Kevin Leung & Mengya Li & Feng Lin & Jun Liu & Hong, 2024. "Assessing cathode–electrolyte interphases in batteries," Nature Energy, Nature, vol. 9(12), pages 1463-1473, December.
    4. 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.
    5. Clerici, Davide & Pistorio, Francesca & Somà, Aurelio, 2025. "Aging diagnostics in lithium-ion batteries with differential mechanical measurements," Applied Energy, Elsevier, vol. 386(C).
    6. Florian Degen, 2023. "Lithium‐ion battery cell production in Europe: Scenarios for reducing energy consumption and greenhouse gas emissions until 2030," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 964-976, June.
    7. Gao, Yizhao & Liu, Chenghao & Chen, Shun & Zhang, Xi & Fan, Guodong & Zhu, Chong, 2022. "Development and parameterization of a control-oriented electrochemical model of lithium-ion batteries for battery-management-systems applications," Applied Energy, Elsevier, vol. 309(C).
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    9. Clerici, Davide, 2025. "POLISOC: A hybrid state of charge estimation algorithm for lithium-ion batteries based on electrical and mechanical measurements," Applied Energy, Elsevier, vol. 401(PC).
    10. Biju, Nikhil & Fang, Huazhen, 2023. "BattX: An equivalent circuit model for lithium-ion batteries over broad current ranges," Applied Energy, Elsevier, vol. 339(C).
    11. 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.
    12. 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.
    13. Di Prima, Piera & Dessantis, Davide & Versaci, Daniele & Amici, Julia & Bodoardo, Silvia & Santarelli, Massimo, 2025. "Understanding calendar aging degradation in cylindrical lithium-ion cell: A novel pseudo-4-dimensional electrochemical-thermal model," Applied Energy, Elsevier, vol. 377(PC).
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