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Reduced Order Lumped Parameter Thermal Network for Dual Three-Phase Permanent Magnet Machines

Giangrande, P.; Madonna, V.; Nuzzo, S.; Spagnolo, C.; Gerada, C.; Galea, M.

Authors

S. Nuzzo

C. Spagnolo

MICHAEL GALEA Michael.Galea@nottingham.ac.uk
Professor of Electrical Machines and Drives



Abstract

© 2019 IEEE. In recent years, electrical machines are employed in an ever-increasing number of safety-critical applications, which require high power density, along with a demanding level of reliability and/or fault-tolerance capability. Multi-phase machines are generally considered a suitable option for satisfying these constraints. Among them, the dual three-phase configuration claims the additional benefit of being operated through conventional power electronics converters and control strategies. Despite the undeniable advantages and their wide diffusion, the thermal modelling of dual three-phase machines still represents an open research topic. Thus, this paper proposes the thermal analysis of a dual three-phase permanent magnet synchronous machine, highlighting the thermal coupling between the two winding sets. An experimentally fine-tuned lumped parameter thermal network is initially presented. Then, due to its relatively high number of nodes, a reduced order thermal network using only 3 nodes is developed. Finally, both thermal networks are examined and compared under several load conditions, in terms of accuracy and computational burden.

Start Date Apr 22, 2019
Publication Date Oct 31, 2019
Pages 71-76
Book Title Proceedings 2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
ISBN 9781538681077
APA6 Citation Giangrande, P., Madonna, V., Nuzzo, S., Spagnolo, C., Gerada, C., & Galea, M. (2019). Reduced Order Lumped Parameter Thermal Network for Dual Three-Phase Permanent Magnet Machines. In Proceedings 2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD), (71-76). https://doi.org/10.1109/WEMDCD.2019.8887772
DOI https://doi.org/10.1109/WEMDCD.2019.8887772
Publisher URL https://ieeexplore.ieee.org/document/8887772
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.

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