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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
hal.structure.identifierSAFT [Bordeaux]
dc.contributor.authorBRUNETAUD, Ruben
hal.structure.identifierSAFT [Bordeaux]
dc.contributor.authorMERGO MBEYA, Karrick
hal.structure.identifierSAFT [Bordeaux]
dc.contributor.authorLEGRAND, Nathalie
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBRIAT, Olivier
IDREF: 069133980
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorCAPITAINE, Armande
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorVINASSA, Jean-Michel
IDREF: 078898064
dc.date.accessioned2023-12-18T10:11:09Z
dc.date.available2023-12-18T10:11:09Z
dc.date.issued2023-06-01
dc.identifier.issn2352-152Xen_US
dc.identifier.urioai:crossref.org:10.1016/j.est.2023.106863
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/186690
dc.description.abstractEnOptimisation methods based on half-cell measurements provide efficient non-destructive aging diagnosis for lithium-ion batteries. However, a blend electrode using this approach could bias the observations and lead to false aging scenario determination. The present study shows a non-intrusive method to quantify both the state of health of a cell and the partial aging of a blend active material LMFP:NCA. From the classical optimisation of the half-cell positions on a cell pseudo-open-circuit voltage, a blend submodel is added to integrate the underlying changes into the blend mass fraction. After the optimisation was performed on the battery check-up measurements, the aging phenomena were gathered into degradation modes that were quantified throughout the cell lifetime, and the changes in the electrode positions were converted into losses of lithium inventory, losses of positive and negative active materials, and an increase in ohmic resistance. The partial aging of the blend components was calculated using the mass fraction evolution of the corresponding loss of the electrode. Investigations were conducted on a 30-Ah high-power LMFP:NCA/graphite lithium-ion prototype battery. The basic root mean square error optimisation criterion was associated with differential methods (incremental capacity and differential voltage) to validate the numerical results and enhance the robustness of the optimisation.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enBlended electrode
dc.subject.enDegradation modes
dc.subject.enDiagnostic
dc.subject.enLithium ion
dc.subject.enOpen circuit voltage
dc.subject.enState-of-health
dc.title.enNon-destructive state-of-health diagnosis algorithm for blended electrode lithium-ion battery
dc.title.alternativeJ Energy Storageen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.est.2023.106863en_US
dc.subject.halSciences de l'ingénieur [physics]/Energie électriqueen_US
bordeaux.journalJournal of Energy Storageen_US
bordeaux.page106863en_US
bordeaux.volume62en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDAssociation Nationale de la Recherche et de la Technologieen_US
bordeaux.import.sourcedissemin
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Energy%20Storage&rft.date=2023-06-01&rft.volume=62&rft.spage=106863&rft.epage=106863&rft.eissn=2352-152X&rft.issn=2352-152X&rft.au=BRUNETAUD,%20Ruben&MERGO%20MBEYA,%20Karrick&LEGRAND,%20Nathalie&BRIAT,%20Olivier&CAPITAINE,%20Armande&rft.genre=article


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