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dc.contributor.authorTaghavipour, Amir
dc.contributor.authorAzad, Nasser L.
dc.contributor.authorMcPhee, John
dc.date.accessioned2018-06-20 14:40:23 (GMT)
dc.date.available2018-06-20 14:40:23 (GMT)
dc.date.issued2012-10-22
dc.identifier.urihttps://dx.doi.org/10.1504/IJVD.2012.050085
dc.identifier.urihttp://hdl.handle.net/10012/13427
dc.descriptionOriginally published by Inderscience: Taghavipour, A., Azad, N. L., & McPhee, J. (2012). An optimal power management strategy for power split plug-in hybrid electric vehicles. International Journal of Vehicle Design, 60(3/4), 286. doi:10.1504/ijvd.2012.050085en
dc.description.abstractModel Predictive Control (MPC) can be an interesting concept for designing a power management strategy for Hybrid Electric Vehicles (HEVs) according to its capability of online optimisation by receiving current information from the powertrain and handling hard constraints on such problems. In this paper, a power management strategy for a power split plug-in HEV is proposed using the concept of MPC to evaluate the effectiveness of this method on minimising the fuel consumption of those vehicles. Also, the results are compared with dynamic programming.en
dc.language.isoenen
dc.publisherInderscienceen
dc.subjectPlug-in Hybrid Vehiclesen
dc.subjectPower Management Strategyen
dc.subjectModel Predictive Controlen
dc.subjectDynamic Programmingen
dc.subjectFuel Consumptionen
dc.titleAn optimal power management strategy for power split plug-in hybrid electric vehiclesen
dc.typeArticleen
dcterms.bibliographicCitationTaghavipour, A., Azad, N. L., & McPhee, J. (2012). An optimal power management strategy for power split plug-in hybrid electric vehicles. International Journal of Vehicle Design, 60(3/4), 286. doi:10.1504/ijvd.2012.050085en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Systems Design Engineeringen
uws.typeOfResourceTexten
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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