Lithium-ion second-life batteries: aging modeling and experimental validation

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dc.contributor.authorPérez Ibarrola, Ane
dc.contributor.authorSan Martín Biurrun, Idoia
dc.contributor.authorSanchis Gúrpide, Pablo
dc.contributor.authorUrsúa Rubio, Alfredo
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA2023-11380
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua
dc.date.accessioned2024-12-12T09:25:42Z
dc.date.available2024-12-12T09:25:42Z
dc.date.issued2024-08-30
dc.date.updated2024-12-12T09:05:10Z
dc.description.abstractRe-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.en
dc.description.sponsorshipThis work is part of the projects PID2022-139914OB-I00, funded by MICIU/ AEI/10.13039/501100011033/ and by 'ERDF/EU' , TED2021-132457BI00, funded by MICIU/AEI/10.13039/501100011033/ and by the European Union 'NextGenerationEU/PRTR', STARDUST (H2020-SCC-2016/17- 774094), funded by the European Union's Horizon 2020 research and innovation program, HYBPLANT (0011-1411-2022-000039), funded by the Government of Navarre, and Lion2H2 (PJUPNA2023-11380), funded by the Public University of Navarre.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPerez, 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.
dc.identifier.doi10.1109/REST59987.2024.10645404
dc.identifier.isbn979-8-3503-5890-2
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52703
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/774094/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139914OB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-132457B-I00/
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//0011-1411-2022-000039/
dc.relation.publisherversionhttps://doi.org/10.1109/REST59987.2024.10645404
dc.rights© 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.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectAgingen
dc.subjectLithium-ion batteryen
dc.subjectSecond-life batteryen
dc.titleLithium-ion second-life batteries: aging modeling and experimental validationen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublicationeb28ad46-ad2e-4415-a048-6c3f2fe48916
relation.isAuthorOfPublicationb0612ced-717d-455f-b411-6b3d3affcde0
relation.isAuthorOfPublication.latestForDiscovery35ca7166-6206-4330-a4d0-7b66ee2383ea

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