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Accuracy Assessment of Li-ion Batteries Internal Resistance Model Through CFD Simulations, Experimental Measurements And Uncertainties

hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierCertified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
dc.contributor.authorSOLAI, Elie
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierCertified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
dc.contributor.authorBEAUGENDRE, Héloïse
hal.structure.identifierService de Thermo-hydraulique et de Mécanique des Fluides [STMF]
hal.structure.identifierCEA- Saclay [CEA]
hal.structure.identifierUniversité Paris-Saclay
dc.contributor.authorBIEDER, Ulrich
hal.structure.identifierCentre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierInstitut Polytechnique de Paris [IP Paris]
hal.structure.identifierUncertainty Quantification in Scientific Computing and Engineering [PLATON]
dc.contributor.authorCONGEDO, Pietro
dc.date.accessioned2024-04-04T02:44:16Z
dc.date.available2024-04-04T02:44:16Z
dc.date.conference2021-07-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191395
dc.description.abstractEnInternal resistance is a critical parameter of the thermal behavior of Li-ion battery cells. This paper proposes an innovative way to deal with the uncertainties related to this physical parameter using experimental data and numerical simulation. First, a CFD model is validated against an experimental configuration representing the behavior of heated Li-ion battery cells under constant discharging current conditions. Secondly, an Uncertainty Quantification based methodology is proposed to represent the internal resistance and its inherent uncertainties. Thanks to an accurate and fast to compute surrogate model, the impact of those uncertainties on the temperature evolution of Li-ion cells is quantified. Finally, a Bayesian inference of the internal resistance model parameters using experimental measurements is performed, permitting to reduce the prediction uncertainty by almost 95% for some temperatures of interest.
dc.language.isoen
dc.title.enAccuracy Assessment of Li-ion Batteries Internal Resistance Model Through CFD Simulations, Experimental Measurements And Uncertainties
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halPhysique [physics]/Mécanique [physics]/Thermique [physics.class-ph]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleHEFAT 2021 - 15th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics
bordeaux.countryNL
bordeaux.conference.cityVirtual conference
bordeaux.peerReviewedoui
hal.identifierhal-03417087
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2021-07-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03417087v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=SOLAI,%20Elie&BEAUGENDRE,%20H%C3%A9lo%C3%AFse&BIEDER,%20Ulrich&CONGEDO,%20Pietro&rft.genre=unknown


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