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Analytical thermal model for fast stator winding temperature prediction

Sciascera, C.; Giangrande, Paolo; Papini, Luca; Gerada, C.; Galea, Michael

Authors

C. Sciascera

Paolo Giangrande

Luca Papini

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



Abstract

This paper introduces an innovative thermal modelling technique which accurately predicts the winding temperature of electrical machines, both at transient and steady state conditions, for applications where the stator Joule losses are the dominant heat source. The model is an advanced variation of the classical Lumped Parameter Thermal Network approach, with the expected degree of accuracy but at a much lower computational cost. A 7-node Thermal Network is first implemented and an empirical procedure to fine-tuning the critical parameters is proposed. The derivation of the low computational cost model from the Thermal Network is thoroughly explained. A simplification of the 7-node Thermal Network with an equivalent 3-node Thermal Network is then implemented, and the same procedure is applied to the new network for deriving an even faster low computational cost model. The proposed model is then validated against experimental results carried on a Permanent Magnet Synchronous Machine which is part of an electro-mechanical actuator designed for an aerospace application. A comparison between the performance of the classical Lumped Parameter Thermal Network and the proposed model is carried out, both in terms of accuracy of the stator temperature prediction and of the computational time required.

Citation

Sciascera, C., Giangrande, P., Papini, L., Gerada, C., & Galea, M. (2017). Analytical thermal model for fast stator winding temperature prediction. IEEE Transactions on Industrial Electronics, 64(8), https://doi.org/10.1109/TIE.2017.2682010

Journal Article Type Article
Acceptance Date Jan 24, 2017
Online Publication Date Mar 14, 2017
Publication Date Aug 1, 2017
Deposit Date Aug 10, 2017
Publicly Available Date Aug 10, 2017
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Electronic ISSN 0278-0046
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 64
Issue 8
DOI https://doi.org/10.1109/TIE.2017.2682010
Keywords Thermal analysis, electric motors, permanent magnet machines, thermal management, nonlinear dynamical systems, approximation methods, analytical models, polynomials
Public URL http://eprints.nottingham.ac.uk/id/eprint/44831
Publisher URL http://ieeexplore.ieee.org/document/7878526/
Additional Information (c)2017 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

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