Selection criteria and robust optimization of a traction PM-Assisted Synchronous Reluctance motor

Degano, Michele; Carraro, M.; Bianchi, Nicola

Abstract

In the coming years, the electrification and the deployment of the electric motors in the urban transports will become a more and more widespread reality. The optimization stage of the electric motors usually does not consider in detail the real driving conditions of the car in which the motor is installed. It follows that the actual motor performance in operating points, particularly as regards the torque ripple and the efficiency, might be worse than expected. A robust solution is a required target. This paper deals with the design and optimization of a high-speed permanent-magnet-assisted synchronous reluctance motor for traction applications, taking into account both city and highway driving cycles. A procedure is employed in order to evaluate the most representative operating points, which have to be considered when a global optimization is required. An analysis of the solution robustness has been performed. Both results and advantages of the adopted methodology are highlighted.

Citation

Degano, M., Carraro, M., & Bianchi, N. (2015). Selection criteria and robust optimization of a traction PM-Assisted Synchronous Reluctance motor. IEEE Transactions on Industry Applications, 51(6), https://doi.org/10.1109/TIA.2015.2443091

• Journal Article Type: Article
• Acceptance Date: May 16, 2015
• Publication Date: Jun 9, 2015
• Deposit Date: Jul 21, 2016
• Publicly Available Date: Jul 21, 2016
• Journal: IEEE Transactions on Industry Applications
• Print ISSN: 0093-9994
• Electronic ISSN: 1939-9367
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 51
• Issue: 6
• DOI: https://doi.org/10.1109/TIA.2015.2443091
• Keywords: Optimization Methods, Permanent-Magnet (PM) Motors, Reluctance Machines, Robustness, Traction Motors
• Public URL: https://nottingham-repository.worktribe.com/output/754862
• Publisher URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7120108
• Additional Information: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
• Contract Date: Jul 21, 2016