Torque Characterization of a Synchronous Reluctance Machine Using an Analytical Model

This paper proposes an analytical method, which is based on the coenergy method for characterization of synchronous reluctance machines (SynRMs), used in electric vehicle (EV) applications. The torque–angle curves of a SynRM, which is designed and prototyped for traction applications, are estimated using the proposed analytical model. These curves that are obtained for various currents at different load angles provide the required information that can lead to an optimized operation of the machine and a better performance of the EV. The electromagnetic torque profile is also calculated using the Maxwell Stress Tensor and compared with results obtained from a finite-element analysis (FEA). This model provides preliminary information about the machine’s characteristic, and can also be used as a tool to obtain initial design parameters. The results of the analytical model are then compared with the FEA results and experimental results. The comparison shows an acceptable agreement, which validates the accuracy of the method as a modeling and design tool.

• Record URL:
  https://doi.org/10.1109/TTE.2018.2794828
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23327782
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Maroufian, Seyede Sara
  • Pillay, Pragasen
• Publication Date: 2018-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 506-516
• Serial:
  • IEEE Transactions on Transportation Electrification
  • Volume: 4
  • Issue Number: 2
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 2332-7782
  • Serial URL: http://ieeexplore.ieee.org/servlet/opac?punumber=6687316

Subject/Index Terms

• TRT Terms: Electric drives; Electric vehicles; Mathematical models; Synchronous motors; Torque; Traction
• Uncontrolled Terms: Reluctance motors
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01679178
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 27 2018 2:05PM