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

Francesca Pistorio, Davide Clerici and Aurelio Somà

Applied Energy, 2026, vol. 404, issue C, No S0306261925014746

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.

Keywords: Lithium-ion batteries; Battery aging; Battery degradation model; Irreversible swelling; Knee-point prediction (search for similar items in EconPapers)
Date: 2026
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261925014746
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:404:y:2026:i:c:s0306261925014746

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126744

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().