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Integrated, feed-forward hybrid electric vehicle simulation in SIMULINK and its use for power management studies

dc.contributor.authorLin, C.-C.en
dc.contributor.authorFilipi, Z.en
dc.contributor.authorWang, Y.en
dc.contributor.authorLouca, Loucas S.en
dc.contributor.authorPeng, H.en
dc.contributor.authorAssanis, D.en
dc.contributor.authorStein, J.en
dc.creatorLin, C.-C.en
dc.creatorFilipi, Z.en
dc.creatorWang, Y.en
dc.creatorLouca, Loucas S.en
dc.creatorPeng, H.en
dc.creatorAssanis, D.en
dc.creatorStein, J.en
dc.date.accessioned2019-05-06T12:24:04Z
dc.date.available2019-05-06T12:24:04Z
dc.date.issued2001
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/48582
dc.description.abstractA hybrid electric vehicle simulation tool (HE-VESIM) has been developed at the Automotive Research Center of the University of Michigan to study the fuel economy potential of hybrid military/civilian trucks. In this paper, the fundamental architecture of the feed-forward parallel hybrid-electric vehicle system is described, together with dynamic equations and basic features of sub-system modules. Two vehicle-level power management control algorithms are assessed, a rule-based algorithm, which mainly explores engine efficiency in an intuitive manner, and a dynamic-programming optimization algorithm. Simulation results over the urban driving cycle demonstrate the potential of the selected hybrid system to significantly improve vehicle fuel economy, the improvement being greater when the dynamic-programming power management algorithm is applied. Copyright © 2001 Society of Automotive Engineers, Inc.en
dc.language.isoengen
dc.sourceSAE Technical Papersen
dc.subjectAutomobilesen
dc.subjectFuel economyen
dc.subjectAlgorithmsen
dc.subjectEnergy managementen
dc.subjectFeed-Forwarden
dc.subjectSimulinken
dc.subjectDriving cycleen
dc.subjectOptimization algorithmsen
dc.subjectElectric vehiclesen
dc.subjectElectric-vehicle simulationen
dc.subjectHybrid vehiclesen
dc.subjectDynamic equationsen
dc.subjectElectric power measurementen
dc.subjectEngine efficiencyen
dc.subjectHybrid systemsen
dc.subjectPower management algorithmsen
dc.subjectPower managementsen
dc.subjectResearch centeren
dc.subjectRule based algorithmsen
dc.subjectSecondary batteriesen
dc.subjectSub-systemsen
dc.subjectUniversity of Michiganen
dc.subjectVehicle fuel economyen
dc.titleIntegrated, feed-forward hybrid electric vehicle simulation in SIMULINK and its use for power management studiesen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.4271/2001-01-1334
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering
dc.type.uhtypeArticleen
dc.contributor.orcidLouca, Loucas S. [0000-0002-0850-2369]
dc.gnosis.orcid0000-0002-0850-2369


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