An Improved Dual Iterative Transient Thermal Network Model for PMSM With Natural Air Cooling

Thermal analysis is vital in the design stage of permanent magnet synchronous motors (PMSMs). Though recent studies have developed the thermal equivalent circuit models for internal temperature calculation, they cannot consider transient modification of thermal conditions, and have a notable drawbac...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2022-12, Vol.37 (4), p.2588-2600
Main Authors: Song, Zaixin, Huang, Rundong, Wang, Wusen, Liu, Senyi, Liu, Chunhua
Format: Article
Language:English
Subjects:
Air cooling
analytical modeling
Atmospheric modeling
Computational modeling
Equivalent circuits
Finite element method
Heat transfer
Iterative methods
Laplace transforms
Mathematical models
permanent magnet synchronous motor
Permanent magnets
Synchronous motors
Thermal analysis
thermal network
Thermodynamic properties
Traction motors
Transient analysis
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Summary:Thermal analysis is vital in the design stage of permanent magnet synchronous motors (PMSMs). Though recent studies have developed the thermal equivalent circuit models for internal temperature calculation, they cannot consider transient modification of thermal conditions, and have a notable drawback of low accuracy. Therefore, this study addresses the neglected aspect of transient thermal analysis. A thermal network model (TNM) is proposed with inclusive coupling mechanisms, covering the increase of loss power and change of thermal parameters. Proposed TNM is combined with a dual iteration technique in order to achieve accurate prediction of thermal condition during time-stepping calculation. Also, the solving process is improved without calculating the inverse matrix after Laplace transform of the TNM system. Targeting the 10/12 PMSM that is designed and manufactured, temperature rises on motor parts are evaluated by analytical TNM, finite element analysis, and thermal tests. The study identifies the well-agreed temperature results and the necessity of transient analysis for accurate prediction of temperature rise.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2022.3179172