Development of a Fast Thermal Model for Calculating the Temperature of the Interior PMSM

Qixu Chen, Dechen Wu, Guoli Li, Wenping Cao, Zhe Qian and Qunjing Wang
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Qixu Chen: National Engineering Laboratory of Energy-Saving Motor & Control Technology, Ministry of Education Engineering Research Center of Power Quality, Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei 230601, China
Dechen Wu: National Engineering Laboratory of Energy-Saving Motor & Control Technology, Ministry of Education Engineering Research Center of Power Quality, Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei 230601, China
Guoli Li: National Engineering Laboratory of Energy-Saving Motor & Control Technology, Ministry of Education Engineering Research Center of Power Quality, Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei 230601, China
Wenping Cao: National Engineering Laboratory of Energy-Saving Motor & Control Technology, Ministry of Education Engineering Research Center of Power Quality, Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei 230601, China
Zhe Qian: National Engineering Laboratory of Energy-Saving Motor & Control Technology, Ministry of Education Engineering Research Center of Power Quality, Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei 230601, China
Qunjing Wang: National Engineering Laboratory of Energy-Saving Motor & Control Technology, Ministry of Education Engineering Research Center of Power Quality, Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, Hefei 230601, China

Energies, 2021, vol. 14, issue 22, 1-17

Abstract: A 40 kW–4000 rpm interior permanent magnet synchronous machine (IPMSM) applied to an electric vehicle (EV) is introduced as the study object in this paper. The main work of this paper is theoretical derivation and validation of the first-order and multi-order transient lumped-parameter thermal network (LPTN) for the development of a fast thermal model. Based on the first-order LPTN built, the study finds that the heat transfer coefficient of fluid and thickness of the air gap layer are the main influencing factors for the final temperature and time of reaching the steady state. The larger the heat transfer coefficient of fluid is, the lower the steady node temperature is. The smaller the air layer thickness is, the lower the steady node temperature is. The multi-order LPTN theory is further deduced based on the extension of the first-order LPTN. For the constant load and rectangular periodic load, transient node temperatures of the IPMSM are obtained by modeling and solving the first order inhomogeneous differential equations. Temperature rise curves and efficiency maps of the IPMSM under load conditions are realized on a dynamometer platform. The FLUKE infrared-thermal imager and the thermocouple PTC100 are used to validate the mentioned method. The experiment shows that the LPTN of the IPMSM can accurately predict the node temperature.

Keywords: interior permanent magnet synchronous machine (IPMSM); lumped-parameter thermal network (LPTN); conduction and convection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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