Design and double-stage optimization of synchronous reluctance motor for electric vehicles

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dc.authorid0000-0002-1821-0722en_US
dc.authorid0000-0002-5583-0517en_US
dc.contributor.authorBekiroğlu, Erdal
dc.contributor.authorEsmer, Sadullah
dc.date.accessioned2024-05-24T11:05:27Z
dc.date.available2024-05-24T11:05:27Z
dc.date.issued2023en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this study, a high-power synchronous reluctance motor (SynRM) was designed for the traction motor of electric vehicle (EV) and its double-stage optimization was performed. Genetic algorithm and sensitivity analysis methods were used to obtain the best design parameters. Double-stage optimization was carried out to minimize the torque ripple and obtain the targeted torque, speed, and power values of the SynRM. In the first stage, the genetic algorithm method was used to improve the design parameters of the stator and rotor. With the improved design parameters, it was observed that the torque ripple decreased. In the second stage, the sensitivity analysis method was used. In this method, the effect of changing the skew angle of the stator on the torque ripple was investigated. The performance of the designed motor was examined in the optimization process. It was observed that the targeted torque, power, speed, efficiency, and torque ripple minimization values are successfully achieved with the best stator and rotor parameters. The results showed that SynRM produces high torque and high power with high efficiency and low torque ripple over wide speed range. It is quite proper to use the designed SynRM as a traction motor of new generation electric vehicles.en_US
dc.identifier.citationBekiroglu, E., & Esmer, S. (2023). Design and double-stage optimization of synchronous reluctance motor for electric vehicles. Electric Power Components and Systems, 51(20), 2557-2572.en_US
dc.identifier.doi10.1080/15325008.2023.2240792
dc.identifier.endpage2572en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue20en_US
dc.identifier.scopus2-s2.0-85166619607en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2557en_US
dc.identifier.urihttp://dx.doi.org/10.1080/15325008.2023.2240792
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12161
dc.identifier.volume51en_US
dc.identifier.wosWOS:001040301400001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBekiroğlu, Erdal
dc.institutionauthorEsmer, Sadullah
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofElectric Power Components and Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectElectric Vehiclesen_US
dc.subjectSynchronous Reluctance Motoren_US
dc.subjectGenetic Algorithmsen_US
dc.subjectSensitivity Analysisen_US
dc.subjectOptimizationen_US
dc.titleDesign and double-stage optimization of synchronous reluctance motor for electric vehiclesen_US
dc.typeArticleen_US

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