Improved Low-Order Thermal Model for Critical Temperature Estimation of PMSM

The low-order lumped parameter thermal models (LPTMs) are one of the most competitive online approaches to estimate the critical temperatures in electrical machines. Firstly, this paper explores the correlation between the conventional high-order and low-order LPTMs and then presents some critical m...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2022-03, Vol.37 (1), p.413-423
Main Authors: Feng, Jianghua, Liang, Dawei, Zhu, Z. Q., Guo, Shuying, Li, Yifeng, Zhao, Anfeng
Format: Article
Language:English
Subjects:
Capacitance
Condition monitoring
Critical temperature
Estimation
lumped parameter thermal model
Modelling
parameter identification
permanent magnet synchronous machine
Permanent magnets
Stator cores
Stator windings
Synchronous machines
Temperature measurement
Temperature sensors
Thermal analysis
Thermal resistance
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Summary:The low-order lumped parameter thermal models (LPTMs) are one of the most competitive online approaches to estimate the critical temperatures in electrical machines. Firstly, this paper explores the correlation between the conventional high-order and low-order LPTMs and then presents some critical modelling guidelines of low-order LPTM together with an improved four-order LPTM. Secondly, a simple dynamic quasi-linear model (DQM) is proposed to define convection thermal resistances, which can be used in both conventional high-order and low-order LPTMs. The application of DQM can improve the estimation accuracy by indirectly introducing more degrees of freedom, which is especially beneficial for the magnet temperature estimation in the low-order LPTM due to its highly abstract rotor thermal modelling. Finally, a prototype permanent magnet synchronous machine is used for experimental validation under different operation profiles.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2021.3110836