Assessment of cooling methods for increased power density in electrical machines

Tighe, Chris; Gerada, C.; Pickering, Steve

Abstract

A comprehensive thermal analysis of three different electrical machines is presented, with a view of identifying design aspects that can be exploited to achieve higher power density. A review of some novel cooling methods is initially made. Following this, the stator and rotor thermal resistance paths of the three selected machines are created and the individual components of each resistance path mathematically analysed to identify the parts of the machines that provide greatest potential to reduce stator and rotor temperatures. This is verified with a Design of Experiments analysis on the thermal resistance models of each. Finally, a different novel cooling method is applied to the model of each machine, demonstrating the typical temperature reductions that can be achieved.

Citation

Tighe, C., Gerada, C., & Pickering, S. Assessment of cooling methods for increased power density in electrical machines. Presented at XXIIth International Conference on Electrical Machines (ICEM'2016)

• Conference Name: XXIIth International Conference on Electrical Machines (ICEM'2016)
• End Date: Sep 7, 2016
• Acceptance Date: May 20, 2016
• Online Publication Date: Nov 3, 2016
• Deposit Date: Jun 23, 2016
• Publicly Available Date: Nov 3, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: Thermal management, electrical machines, lumped parameters, permanent magnet, induction
• Public URL: https://nottingham-repository.worktribe.com/output/830232
• Publisher URL: http://ieeexplore.ieee.org/abstract/document/7732892/
• Related Public URLs: http://www.icem.cc/2016/
• Additional Information: Published in: 2016 XXII International Conference on Electrical Machines (ICEM). Piscataway, N.J. : IEEE, 2016. ISBN: 978-1-5090-2538-1 pp. 2626-2632, doi: 10.1109/ICELMACH.2016.7732892 © 2016 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.
• Contract Date: Jun 23, 2016