Geometric optimization of variable flux reluctance machines for full electric vehicles

M.M.J. Zuurbier, C.A. Fahdzyana, T. Hofman, J. Bao, E.A. Lomonova

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

As one of the crucial components for electric vehicles, the electric machine has been widely examined from the perspective of machine topology, torque and power density, material usage, and efficiency. In this study, a relatively novel type of electrical machines without permanent magnet material, namely the variable flux reluctance machine (VFRM) is optimized towards a high drive cycle efficiency. In particular, a 12-stator/l0-rotor pole (12/10) VFRM is designed to match the torque and power level of a BMW i3 electric motor. The aim of this design study is to verify whether or not the VFRM is a viable, low-cost alternative for the main traction motor. In addition, rotor skewing has been investigated to successfully reduce the torque ripple. Finally, several down-scaled versions of the VFRM design are analyzed using Finite Element simulations to determine their efficiency maps. These maps are then compared to linearly scaled efficiency maps of the original VFRM design. The results of this comparison show that the efficiency maps change shape and magnitude and are therefore not directly comparable.

LanguageEnglish
Title of host publication2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages9
ISBN (Electronic)978-1-7281-3703-2
DOIs
StatePublished - 1 May 2019
Event14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 - Monte-Carlo, Monaco
Duration: 8 May 201910 May 2019

Conference

Conference14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
CountryMonaco
CityMonte-Carlo
Period8/05/1910/05/19

Fingerprint

Electric vehicles
Fluxes
Machine design
Torque
Rotors
Traction motors
Electric machinery
Electric motors
Stators
Permanent magnets
Poles
Topology
Costs

Keywords

  • Block coordinate descent optimization
  • Electric vehicles
  • Variable flux reluctance machine

Cite this

Zuurbier, M. M. J., Fahdzyana, C. A., Hofman, T., Bao, J., & Lomonova, E. A. (2019). Geometric optimization of variable flux reluctance machines for full electric vehicles. In 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 [8813611] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/EVER.2019.8813611
Zuurbier, M.M.J. ; Fahdzyana, C.A. ; Hofman, T. ; Bao, J. ; Lomonova, E.A./ Geometric optimization of variable flux reluctance machines for full electric vehicles. 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019.
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Zuurbier, MMJ, Fahdzyana, CA, Hofman, T, Bao, J & Lomonova, EA 2019, Geometric optimization of variable flux reluctance machines for full electric vehicles. in 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019., 8813611, Institute of Electrical and Electronics Engineers, Piscataway, 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019, Monte-Carlo, Monaco, 8/05/19. DOI: 10.1109/EVER.2019.8813611

Geometric optimization of variable flux reluctance machines for full electric vehicles. / Zuurbier, M.M.J.; Fahdzyana, C.A.; Hofman, T.; Bao, J.; Lomonova, E.A.

2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. 8813611.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Zuurbier MMJ, Fahdzyana CA, Hofman T, Bao J, Lomonova EA. Geometric optimization of variable flux reluctance machines for full electric vehicles. In 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019. Piscataway: Institute of Electrical and Electronics Engineers. 2019. 8813611. Available from, DOI: 10.1109/EVER.2019.8813611