Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorCerna, Fernando V.en_US
dc.contributor.authorPourakbari-Kasmaei, Mahdien_US
dc.contributor.authorGallego P., Luis A.en_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.editorde Sales Guerra Tsuzuki, Marcosen_US
dc.contributor.editorJunqueira, Fabricioen_US
dc.contributor.organizationState University of Londrina (UEL)en_US
dc.date.accessioned2019-04-02T06:52:24Z
dc.date.available2019-04-02T06:52:24Z
dc.date.issued2019-01-25en_US
dc.description.abstractThis paper presents a mixed integer linear programming (MILP) model to optimizing the maintenance costs during the operation of the hybrid electric vehicles (HEVs) aiming at reducing CO 2 emissions during operating along of the day. This target is obtained by an appropriate selection of navigation modes and the optimal scheduling of deliveries. The proposed model considers the average speed, battery state of charge (SOC), and the set of deliveries to be made by each type of HEV. A set of constraints that ensures the performance of the HEVs is considers while the uncertainties of the trip on each urban road are modeled using the traffic density values according to the levels of service (LOS). The proposed model is implemented in AMPL and solved using the solver CPLEX showed the effectiveness in the evaluation of each type of HEV technology.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationCerna, F V, Pourakbari-Kasmaei, M & Gallego P., L A 2019, Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions. in M de Sales Guerra Tsuzuki & F Junqueira (eds), Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018., 8627221, International Conference on Industry Applications, IEEE, pp. 446-452, IEEE International Conference on Industry Applications, São Paulo, Brazil, 12/11/2018. https://doi.org/10.1109/INDUSCON.2018.8627221en
dc.identifier.doi10.1109/INDUSCON.2018.8627221en_US
dc.identifier.isbn9781538679951
dc.identifier.issn2572-1445
dc.identifier.otherPURE UUID: 283d9316-1949-40f4-b77f-24e182bd34afen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/283d9316-1949-40f4-b77f-24e182bd34afen_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85062541404&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/32631636/ELEC_Cerna_etal_Evaluation_of_the_Performance_of_HEV_INDUSCON_2018.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/37273
dc.identifier.urnURN:NBN:fi:aalto-201904022404
dc.language.isoenen
dc.relation.ispartofIEEE International Conference on Industry Applicationsen
dc.relation.ispartofseriesProceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018en
dc.relation.ispartofseriespp. 446-452en
dc.relation.ispartofseriesInternational Conference on Industry Applicationsen
dc.rightsopenAccessen
dc.subject.keywordBattery state of chargeen_US
dc.subject.keywordNavigation modesen_US
dc.subject.keywordPerformance of the HEVsen_US
dc.subject.keywordScheduling of deliveriesen_US
dc.titleEvaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissionsen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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