Vincenzo Madonna
On the Effects of Advanced End-Winding Cooling on the Design and Performance of Electrical Machines
Madonna, Vincenzo; Giangrande, Paolo; Walker, Adam; Galea, Michael
Authors
Paolo Giangrande
Adam Walker
Michael Galea
Abstract
High performance and reliable electrical machines are often required in modern applications and an appropriate thermal management allows to fulfil such demand. Thermal management is crucial for improving performance, reducing size and preserving the insulation lifetime of electrical machines. From this prospective, a novel cooling method for machine end-windings is proposed in the present work. Its cooling action focuses on the end-windings, since they are commonly identified as the machine hot-spot. The effectiveness of the proposed cooling method is experimentally proved and the improvement, in terms of current density, for a given wire insulation thermal class, is quantified. A previously designed permanent magnet synchronous machine, implementing a traditional housing water jacket, is used as a case study. The influence of the improved current density on machine torque density is investigated, through finite element simulations, when the proposed cooling method is integrated to the existing housing water jacket.
Citation
Madonna, V., Giangrande, P., Walker, A., & Galea, M. (2018, September). On the Effects of Advanced End-Winding Cooling on the Design and Performance of Electrical Machines. Presented at 2018 XIII International Conference on Electrical Machines (ICEM), Alexandroupoli, Greece
Presentation Conference Type | Edited Proceedings |
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Conference Name | 2018 XIII International Conference on Electrical Machines (ICEM) |
Start Date | Sep 3, 2018 |
End Date | Sep 6, 2018 |
Acceptance Date | Jun 6, 2018 |
Online Publication Date | Oct 25, 2018 |
Publication Date | Oct 25, 2018 |
Deposit Date | Jan 3, 2019 |
Pages | 311-317 |
DOI | https://doi.org/10.1109/ICELMACH.2018.8507170 |
Keywords | Index Terms—Permanent magnet machines, Thermal; management, AC motors, Finite element analysis, Design; optimization, Sensitivity analysis |
Public URL | https://nottingham-repository.worktribe.com/output/1441775 |
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