Pérez Ibarrola, AneSan Martín Biurrun, IdoiaSanchis Gúrpide, PabloUrsúa Rubio, Alfredo2024-12-122024-12-122024-08-30Perez, A., San Martin, I., Sanchis, P., Ursua, A. (2024). Lithium-ion second-life batteries: aging modeling and experimental validation. In [IEEE], 2024 International Conference on Renewable Energies and Smart Technologies (REST) (pp. 1-5). IEEE. https://doi.org/10.1109/REST59987.2024.10645404.979-8-3503-5890-210.1109/REST59987.2024.10645404https://academica-e.unavarra.es/handle/2454/52703Re-utilizing lithium-ion batteries from electric vehicles reduces their environmental impact. To ensure their optimal sizing and safe use, identifying the current state of the battery and predicting its remaining useful life is essential. This work analyzes the degradation mechanisms involved and proposes an aging model that utilizes a semi-empirical approach to accurately reproduce the battery's state of health within a range of 75-45 %. Calendar aging includes dependencies on temperature and state of charge while cycling aging is modeled based on depth of discharge, medium SOC, temperature, and Crate. The model is validated against experimental data from 14 LMO/LNO cells previously used in actual Nissan Leaf vehicles and an RMSE bellow 2.5 % is achieved in every case.application/pdfeng© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.AgingLithium-ion batterySecond-life batteryinfo:eu-repo/semantics/conferenceObject2024-12-12info:eu-repo/semantics/openAccess