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Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data – Part A: Storage operation

dc.rights.licenseopenen_US
dc.contributor.authorLUCU, M.
dc.contributor.authorMARTINEZ-LASERNA, E.
dc.contributor.authorGANDIAGA, I.
dc.contributor.authorLIU, K.
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorCAMBLONG, Haritza
dc.contributor.authorWIDANAGE, W.D.
dc.contributor.authorMARCO, J.
dc.date.accessioned2023-04-06T14:15:01Z
dc.date.available2023-04-06T14:15:01Z
dc.date.issued2020-08
dc.identifier.issn2352-152Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172850
dc.language.isoENen_US
dc.title.enData-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data – Part A: Storage operation
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.est.2020.101409en_US
dc.subject.halInformatique [cs]/Automatiqueen_US
bordeaux.journalJournal of Energy Storageen_US
bordeaux.page101409en_US
bordeaux.volume30en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-02957928
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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