Optimal Selection of Navigation Modes of HEVs considering CO2 Emissions Reduction

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorCerna, Fernando V.en_US
dc.contributor.authorPourakbari-Kasmaei, Mahdien_US
dc.contributor.authorContreras, Javieren_US
dc.contributor.authorGallego, Luis A.en_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.organizationState University of Londrina (UEL)en_US
dc.contributor.organizationUniversity of Castilla-La Manchaen_US
dc.date.accessioned2019-06-03T14:10:12Z
dc.date.available2019-06-03T14:10:12Z
dc.date.issued2019-03en_US
dc.description.abstractIn this paper, a mixed-integer linear programming model is proposed to optimize hybrid electric vehicle (HEV) navigation modes on the city map, namely the problem of the optimal selection of navigation modes (OSNMs). The OSNMs problem of the HEV as part of the operating strategy is obtained considering a constraint set related to CO 2 emissions reduction, efficient battery charging, and the optimal scheduling of deliveries. Uncertainties in the HEV navigation on urban roads are modeled using probability values assigned to an established set of traffic density values according to the levels of service. The model is implemented in a mathematical programming language (AMPL) and solved using the commercial solver CPLEX. The case study considers real data related to the Prius Prime technology and shows the effectiveness of automating the HEV navigation modes considering CO 2 emissions reduction levels during an operating strategy.en
dc.description.versionPeer revieweden
dc.format.extent11
dc.format.extent2196-2206
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationCerna, F V, Pourakbari-Kasmaei, M, Contreras, J & Gallego, L A 2019, ' Optimal Selection of Navigation Modes of HEVs considering CO 2 Emissions Reduction ', IEEE Transactions on Vehicular Technology, vol. 68, no. 3, 8620548, pp. 2196-2206 . https://doi.org/10.1109/TVT.2019.2894383en
dc.identifier.doi10.1109/TVT.2019.2894383en_US
dc.identifier.issn0018-9545
dc.identifier.issn1939-9359
dc.identifier.otherPURE UUID: 0f103805-2a00-4541-bf8c-931299c5e512en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/0f103805-2a00-4541-bf8c-931299c5e512en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85063331565&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/32129288/ELEC_Cerna_etal_Optimal_Selectrion_of_Navigation_IEEETraVehTech_2019.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/38211
dc.identifier.urnURN:NBN:fi:aalto-201906033296
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseriesIEEE Transactions on Vehicular Technologyen
dc.relation.ispartofseriesVolume 68, issue 3en
dc.rightsopenAccessen
dc.subject.keywordEfficient battery chargingen_US
dc.subject.keywordOptimal selection navigation modesen_US
dc.subject.keywordoptimal scheduling of deliveriesen_US
dc.subject.keywordOperating strategyen_US
dc.titleOptimal Selection of Navigation Modes of HEVs considering CO2 Emissions Reductionen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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