High-speed electrical machines: technologies, trends and developments

Gerada, David; Mebarki, Abdelslam; Brown, Neil; Gerada, C.; Cavagnino, Andrea; Boglietti, Aldo

doi:10.1109/TIE.2013.2286777

High-speed electrical machines: technologies, trends and developments

Gerada, David; Mebarki, Abdelslam; Brown, Neil; Gerada, C.; Cavagnino, Andrea; Boglietti, Aldo

Authors

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

Abdelslam Mebarki

Neil Brown

CHRISTOPHER GERADA CHRIS.GERADA@NOTTINGHAM.AC.UK
Professor of Electrical Machines

Andrea Cavagnino

Aldo Boglietti

Abstract

This paper reviews the current technologies used in high speed electrical machines, through an extensive survey of different topologies developed and built in industry as well as in academia for several applications. Developments in materials and components including electrical steels and copper alloys are discussed, and their impact on the machines’ operating physical boundaries is investigated. The main application areas pulling the development of high speed machines are also reviewed in an effort to better understand the typical performance requirements.

Citation

Gerada, D., Mebarki, A., Brown, N., Gerada, C., Cavagnino, A., & Boglietti, A. (2014). High-speed electrical machines: technologies, trends and developments. IEEE Transactions on Industrial Electronics, 61(6), https://doi.org/10.1109/TIE.2013.2286777

Journal Article Type	Article
Acceptance Date	Sep 30, 2013
Online Publication Date	Oct 22, 2013
Publication Date	Jun 2, 2014
Deposit Date	Sep 6, 2016
Publicly Available Date	Sep 6, 2016
Journal	IEEE Transactions on Industrial Electronics
Print ISSN	0278-0046
Electronic ISSN	1557-9948
Publisher	Institute of Electrical and Electronics Engineers
Peer Reviewed	Peer Reviewed
Volume	61
Issue	6
DOI	https://doi.org/10.1109/TIE.2013.2286777
Keywords	high speed electrical machines, high frequency electrical machines, high strength electrical steels, high frequency electrical steels, copper alloys, thermal modeling, mechanical modeling.
Public URL	https://nottingham-repository.worktribe.com/output/731181
Publisher URL	http://ieeexplore.ieee.org/document/6644302/?arnumber=6644302
Additional Information	c2014 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	Sep 6, 2016