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Health indicator selection for state of health estimation of second-life lithium-ion batteries under extended ageing

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dc.contributor.authorBraco Sola, Elisa
dc.contributor.authorSan Martín Biurrun, Idoia
dc.contributor.authorSanchis Gúrpide, Pablo
dc.contributor.authorUrsúa Rubio, Alfredo
dc.contributor.authorStroe, Daniel-Ioan
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernuaes
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2023-02-06T11:41:55Z
dc.date.available2023-02-06T11:41:55Z
dc.date.issued2022
dc.date.updated2023-02-06T11:32:54Z
dc.description.abstractNowadays, the economic viability of second-life (SL) Li-ion batteries from electric vehicles is still uncertain. Degradation assessment optimization is key to reduce costs in SL market not only at the repurposing stage, but also during SL lifetime. As an indicator of the ageing condition of the batteries, state of health (SOH) is currently a major research topic, and its estimation has emerged as an alternative to traditional characterization tests. In an initial stage, all SOH estimation methods require the extraction of health indicators (HIs), which influence algorithm complexity and on-board implementation. Nevertheless, a literature gap has been identified in the assessment of HIs for reused Li-ion batteries. This contribution targets this issue by analysing 58 HIs obtained from incremental capacity analysis, partial charging, constant current and constant voltage stage, and internal resistance. Six Nissan Leaf SL modules were aged under extended cycling testing, covering a SOH range from 71.2 % to 24.4 %. Results show that the best HI at the repurposing stage was obtained through incremental capacity analysis, with 0.2 % of RMSE. During all SL use, partial charge is found to be the best method, with less than 2.0 % of RMSE. SOH is also estimated using the best HI and different algorithms. Linear regression is found to overcome more complex options with similar estimation accuracy and significantly lower computation times. Hence, the importance of analysing and selecting a good SL HI is highlighted, given that this made it possible to obtain accurate SOH estimation results with a simple algorithm.en
dc.description.sponsorshipThis work is part of the projects PID2019-111262RB-I00, funded by MCIN/AEI/10.13039/501100011033/, STARDUST (774094), funded by European Union's Horizon 2020 research and innovation programme, HYBPLANT (0011-1411-2022-000039), funded by Government of Navarre, and a Ph.D. scholarship, also funded by Government of Navarre. Open access funding provided by Universidad Pública de Navarra.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBraco, E., San Martin, I., Sanchis, P., Ursúa, A., & Stroe, D.-I. (2022). Health indicator selection for state of health estimation of second-life lithium-ion batteries under extended ageing. Journal of Energy Storage, 55, 105366. https://doi.org/10.1016/j.est.2022.105366en
dc.identifier.doi10.1016/j.est.2022.105366
dc.identifier.issn2352-152X
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44660
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofJournal of Energy Storage 55 (2022) 105366en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/774094en
dc.relation.publisherversionhttps://doi.org/10.1016/j.est.2022.105366
dc.rights© 2022 The Authors. This is an open access article under the CC BY licenseen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAgeingen
dc.subjectHealth indicatoren
dc.subjectLithium-ion batteriesen
dc.subjectSecond-life batteriesen
dc.subjectState of health estimationen
dc.titleHealth indicator selection for state of health estimation of second-life lithium-ion batteries under extended ageingen
dc.typeinfo:eu-repo/semantics/article
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery16cc991e-b9ce-4b4e-b5a4-f16d61cda032

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