Model Predictive Torque Control-Based Induction Motor Drive with Remote Control and Monitoring Interface for Electric Vehicles

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dc.authoridBoyar, Aydin/0000-0002-3680-855X
dc.contributor.authorBoyar, Aydin
dc.contributor.authorKabalci, Ersan
dc.contributor.authorKabalci, Yasin
dc.date.accessioned2024-11-07T13:31:52Z
dc.date.available2024-11-07T13:31:52Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractWhile the increased use of internal combustion engine vehicles raises carbon emissions, electric vehicles (EVs) are becoming more important for reducing air pollution. EV production costs are decreasing as technology advances since they are typically powered by alternating current induction machines (ACIM). In EV configurations that are propelled with ACIM, an inverter is required to obtain appropriate voltage levels to drive the IM. Multilevel inverters are widely preferred in the industry for DC-AC voltage conversion due to their high-power quality. In this study, the ACIM is supplied with the appropriate voltage using an active neutral point clamped (ANPC) inverter. The ANPC inverter acting as ACIM driver is controlled with model predictive torque control. The simulation of the proposed ACIM drive has been performed with torque and speed control features to determine the operational features of the experimental test bench. Furthermore, the designed ACIM drive includes remote control and monitoring functions via an Internet of Things-based module. This allows for instant monitoring of the input, output, and current values of the ANPC inverter. The graphical monitoring function is used to track the speed and torque values of ACIM while the speed can be changed remotely via the web interface.
dc.identifier.doi10.1080/15325008.2023.2211581
dc.identifier.endpage2170
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85159213185
dc.identifier.scopusqualityQ3
dc.identifier.startpage2159
dc.identifier.urihttps://doi.org/10.1080/15325008.2023.2211581
dc.identifier.urihttps://hdl.handle.net/11480/15093
dc.identifier.volume51
dc.identifier.wosWOS:000986460700001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofElectric Power Components and Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectmultilevel inverter
dc.subjectANPC inverter
dc.subjectmodel predictive torque control
dc.subjectIoT
dc.subjectinduction motor drive
dc.subjectelectric vehicle
dc.titleModel Predictive Torque Control-Based Induction Motor Drive with Remote Control and Monitoring Interface for Electric Vehicles
dc.typeArticle

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