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Dual-Rotor Permanent Magnet Motor for Electric Superbike

Golovanov, Dmitry; Galassini, Alessandro; Flanagan, Louis; Gerada, David; Xu, Zeyuan; Gerada, Chris

Authors

Dmitry Golovanov

Alessandro Galassini

Louis Flanagan

DAVID GERADA D.Gerada@nottingham.ac.uk
Professor of Electrical Engineering

ZEYUAN XU ZEYUAN.XU@NOTTINGHAM.AC.UK
Principal Research Fellow



Abstract

The demand on high-performance electrical machines has significantly increased for aerospace and transportation industries in recent years. A racing electric motorbike is a suitable platform to validate and prove new concepts and machine topologies before implementing them for passenger transportation applications. This paper describes the design and development of a high power density dual-rotor permanent magnet machine for an electric superbike. A holistic multi-domain design tool based on genetic algorithm-optimization is used for identifying the optimal slot-pole configuration and assist with the system architecture studies. The selected machine is then further refined and analyzed in conjunction with the power-electronic converter used for the application in hand.

Citation

Golovanov, D., Galassini, A., Flanagan, L., Gerada, D., Xu, Z., & Gerada, C. (2019, May). Dual-Rotor Permanent Magnet Motor for Electric Superbike. Presented at 2019 IEEE International Electric Machines & Drives Conference (IEMDC), San Diego, CA, USA

Presentation Conference Type Edited Proceedings
Conference Name 2019 IEEE International Electric Machines & Drives Conference (IEMDC)
Start Date May 12, 2019
End Date May 15, 2019
Acceptance Date Feb 17, 2019
Online Publication Date Aug 5, 2019
Publication Date 2019-05
Deposit Date Aug 21, 2019
Publisher Institute of Electrical and Electronics Engineers
Pages 951-956
Book Title 2019 IEEE International Electric Machines & Drives Conference (IEMDC)
ISBN :978-1-5386-9351-3
DOI https://doi.org/10.1109/IEMDC.2019.8785287
Public URL https://nottingham-repository.worktribe.com/output/2455725
Publisher URL https://ieeexplore.ieee.org/document/8785287
Additional Information © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.