Simultaneous Optimization of Geometry and Firing Angles for In-Wheel Switched Reluctance Motor Drive

dc.contributor.authorAnvari, B.
dc.contributor.authorToliyat, H. A.
dc.contributor.authorFahimi, Babak
dc.contributor.utdAuthorFahimi, Babak
dc.date.accessioned2019-10-11T21:57:59Z
dc.date.available2019-10-11T21:57:59Z
dc.date.created2017-10-25
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).
dc.description.abstractInterests in using rare-earth free motors such as switched reluctance motors (SRMs) for electric and hybrid electric vehicles continue to gain popularity, owing to their low cost and robustness. Optimal design of an SRM, to meet specific characteristics for an application, should involve simultaneous optimization of the motor geometry and control in order to achieve the highest performance with the lowest cost. This paper presents a constrained multiobjective optimization framework for design and control of an SRM based on a nondominated sorting genetic algorithm II. The proposed methodology optimizes SRM operation for high volume traction applications by considering multiple criteria including efficiency, average torque, and torque ripple. Several constraints are defined by the considered application, such as the motor stack length, outer diameter, minimum operating power, minimum desired efficiency, rated speed, rated current, and supply voltage. The outcome of this optimization includes an optimal geometry, outlining variables such as air gap length, rotor inner diameter, stator pole arc angle, rotor pole arc angle, rotor back iron, stator pole height, and stator inner diameter as well as optimal turn-on and turn-off firing angles. Then the machine is manufactured according to the obtained optimal specifications. Comprehensive finite-element analysis and experimental results are provided to validate the theoretical findings. © 2017 IEEE.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationAnvari, B., H. A. Toliyat, and B. Fahimi. 2017. "Simultaneous Optimization of Geometry and Firing Angles for In-Wheel Switched Reluctance Motor Drive." IEEE Transactions on Transportation Electrification 4(1): 322-329, doi: 10.1109/TTE.2017.2766452
dc.identifier.issn2332-7782
dc.identifier.issue1
dc.identifier.urihttps://hdl.handle.net/10735.1/6996
dc.identifier.volume4
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.urihttp://dx.doi.org/10.1109/TTE.2017.2766452
dc.rights©2017 IEEE
dc.source.journalIEEE Transactions on Transportation Electrification
dc.subjectElectric vehicles
dc.subjectAutomobiles
dc.subjectFinite element method
dc.subjectGenetic algorithms
dc.subjectGeometry
dc.subjectHybrid electric vehicles
dc.subjectMagnetic devices
dc.subjectRotors
dc.subjectTorque
dc.subjectReluctance motors
dc.titleSimultaneous Optimization of Geometry and Firing Angles for In-Wheel Switched Reluctance Motor Drive
dc.type.genrearticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
JECS-6977-260254.23-LINK.pdf
Size:
165.96 KB
Format:
Adobe Portable Document Format
Description:
Link to Article

Collections