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Volterra equations for fractional behaviors modeling with application to lithium-ion cells

dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorTARTAGLIONE, Vincent
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorFARGES, Christophe
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorSABATIER, Jocelyn
IDREF: 05934976X
dc.date.accessioned2023-05-30T13:14:52Z
dc.date.available2023-05-30T13:14:52Z
dc.date.issued2022-09-05
dc.date.conference2022-06-08
dc.identifier.issn2473-2001en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/182364
dc.description.abstractEnThis paper proposes to model fractional behaviors using Volterra equations. As fractional differentiation based models that are commonly used to model such behaviors exhibit several drawbacks and are particular cases of Volterra equations (in the kernel definition), it appears legitimate in a modeling approach to work directly with Volterra equations. In this paper, a numerical method is thus developed to identify the kernel associated to a Volterra equation that describes the input-output behavior of a system. This method is used to model a lithium-ion cell using real data. The resulting model is compared to a fractional differentiation based model with the same number of tunable parameters.
dc.language.isoENen_US
dc.subjectFitting
dc.subjectMathematical models
dc.subjectData models
dc.subjectNumerical models
dc.subjectBehavioral sciences
dc.subjectKernel
dc.subjectdifferential equations
dc.subjectDifferentiation
dc.subjectParameter estimation
dc.subjectSecondary cells
dc.subjectVolterra equations
dc.title.enVolterra equations for fractional behaviors modeling with application to lithium-ion cells
dc.typeCommunication dans un congrès avec actesen_US
dc.identifier.doi10.23919/ACC53348.2022.9867789en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.page4107-4112en_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.conference.title2022 American Control Conference (ACC), Atlanta, GA, USA, 2022en_US
bordeaux.countryusen_US
bordeaux.title.proceeding2022 American Control Conference (ACC)en_US
bordeaux.teamAUTOMATIQUE-CRONEen_US
bordeaux.conference.cityAtlantaen_US
bordeaux.peerReviewedouien_US
hal.identifierhal-04110093
hal.version1
hal.date.transferred2023-05-30T13:14:55Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
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