Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection

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dc.contributor"European Union (EU)" & "Horizon 2020"en
dc.contributor.authorGlos, Jancs
dc.contributor.authorŠolc, Františekcs
dc.contributor.authorOtava, Lukášcs
dc.contributor.authorVáclavek, Pavelcs
dc.date.accessioned2020-11-23T15:55:05Z
dc.date.available2020-11-23T15:55:05Z
dc.date.issued2020-10-18cs
dc.description.abstractVehicle thermal management systems of Fully Electric Vehicles bring increased demands on control algorithms to operate the vehicle efficiently. Especially, if there are multiple heat sources and sinks (cabin, batteries, electric drive, thermal energy storage, etc.), it is necessary to select the system operating mode (configuration of actuators), under which the system will operate efficiently with respecting defined constraints and references tracking. This paper brings a novel approach to the decision-making algorithm, which is based on the Hybrid Model Predictive Control and optimally solves the problem with regards to the defined objective function.en
dc.formattextcs
dc.format.extent2036-2043cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationProceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society. 2020, p. 2036-2043.en
dc.identifier.doi10.1109/IECON43393.2020.9254286cs
dc.identifier.isbn978-1-7281-5414-5cs
dc.identifier.other165335cs
dc.identifier.urihttp://hdl.handle.net/11012/195674
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofProceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Societycs
dc.relation.projectIdinfo:eu-repo/grantAgreement/EC/H2020/653514/EU//OSEM-EVen
dc.relation.urihttps://ieeexplore.ieee.org/document/9254286cs
dc.rights(C) IEEEcs
dc.rights.accessopenAccesscs
dc.subjectvehicle thermal management systemen
dc.subjectVTMSen
dc.subjectmodel predictive controlen
dc.subjectMPCen
dc.subjecthybrid model predictive controlen
dc.subjectHMPCen
dc.subjectpiecewise-affineen
dc.subjectPWAen
dc.subjectthermal energy storageen
dc.subjectTESen
dc.subjectheat pumpen
dc.subjectfully electric vehicleen
dc.subjectFEVen
dc.subjectvapor compression refrigeration systemen
dc.subjectVCRSen
dc.subjectwaste heat recoveryen
dc.subjectdecision-making algorithmen
dc.titleHybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selectionen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-165335en
sync.item.dbtypeVAVen
sync.item.insts2022.03.14 12:53:31en
sync.item.modts2022.03.14 12:14:05en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Kybernetika pro materiálové vědycs
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