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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorMAURES, Matthieu
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorMATHIEU, Romain
IDREF: 228224365
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.authorDELÉTAGE, Jean-Yves
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorVINASSA, Jean-Michel
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBRIAT, Olivier
IDREF: 069133980
dc.date.accessioned2022-07-13T12:43:06Z
dc.date.available2022-07-13T12:43:06Z
dc.date.issued2022-04
dc.identifier.issn2313-0105en_US
dc.identifier.urioai:crossref.org:10.3390/batteries8050039
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140481
dc.description.abstractEnAn incremental capacity parametric model for batteries is proposed. The model is based on Verhulst’s logistic equations and distributions in order to describe incremental capacity peaks. The model performance is compared with polynomial models and is demonstrated on a commercial lithium-ion cell. Experimental data features low-current discharges performed at temperatures ranging from −20 °C to 55 °C. The results demonstrate several advantages of the model compared to empirical models. The proposed model enables a clear description of the geometric features of incremental capacity peaks. It also doubles as an open circuit voltage model as the voltage curve can be fully recovered from parameterization on incremental capacity curves. The study of temperature sensitivity show that peak geometric parameters can be modelled as a function of temperature. An example of practical application is then displayed by using the model to estimate battery state-of-charge from voltage and temperature measurements. This example can expand to other practical applications for battery management systems such as state-of-health monitoring.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.sourcecrossref
dc.subject.enlithium-ion batteries
dc.subject.enbattery management system
dc.subject.enincremental capacity
dc.subject.enparametric model
dc.subject.entemperature sensitivity
dc.subject.enOCV model
dc.subject.enSoC estimation
dc.subject.enSoH monitoring
dc.title.enAn Incremental Capacity Parametric Model Based on Logistic Equations for Battery State Estimation and Monitoring
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/batteries8050039en_US
dc.subject.halSciences de l'ingénieur [physics]/Electromagnétismeen_US
bordeaux.journalBatteriesen_US
bordeaux.page39en_US
bordeaux.volume8en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03722553
hal.version1
hal.date.transferred2022-07-13T12:43:17Z
hal.exporttrue
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=Batteries&rft.date=2022-04&rft.volume=8&rft.issue=5&rft.spage=39&rft.epage=39&rft.eissn=2313-0105&rft.issn=2313-0105&rft.au=MAURES,%20Matthieu&MATHIEU,%20Romain&CAPITAINE,%20Armande&DEL%C3%89TAGE,%20Jean-Yves&VINASSA,%20Jean-Michel&rft.genre=article


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