Rotor Temperature Safety Prediction Method of PMSM for Electric Vehicle on Real-Time Energy Equivalence

Author:

Zhou Anjian12ORCID,Du Changhong2,Peng Zhiyuan2,Peng Qianlei2,Qin Datong1

Affiliation:

1. State Key Laboratory of Mechanical Transmission & School of Automotive Engineering, Chongqing University, Chongqing 400044, China

2. Chongqing Changan New Energy Automobile Technology Co., Ltd., Chongqing 401133, China

Abstract

The load capacity of the permanent magnet synchronous motor is limited by the rotor temperature, and the excessive temperature of the rotor will bring potential thermal safety problems of the system. Therefore, the accurate prediction of the rotor temperature of the permanent magnet synchronous motor for the electric vehicle is crucial to improve the motor performance and system operation safety. This paper studied the heating mechanism and the energy flow path of the motor and built the heat energy conversion model of the stator and rotor. The real-time algorithm to predict the rotor temperature was constructed based on the dissipative energy conservation of the stator of the motor rotor temperature. And the prediction method of the initial rotor temperature is fitted using the experimental results when the system is powered on. Finally, the test platform was set up to validate the rotor temperature accuracy. The results show that the motor rotor temperature estimation error under the dynamic operating condition is within ±5. The research provides a solution to improve the performance and thermal safety of the permanent magnet synchronous motor for electric vehicles.

Funder

National Key R&D Plan Program

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI based Current Controller for Permanent Magnet Synchronous Motor;2024 12th International Conference on Smart Grid (icSmartGrid);2024-05-27

2. Temperature Prediction Algorithms Using Machine Learning for Electric Vehicles;2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET);2023-08-09

3. Tribological Performance of Esters, Friction Modifier and Antiwear Additives for Electric Vehicle Applications;Lubricants;2023-02-28

4. Temperature prediction for electric vehicles of permanent magnet synchronous motor using robust machine learning tools;Journal of Ambient Intelligence and Humanized Computing;2022-05-19

5. Data Driven Temperature Estimation of PMSM with Regression Models;2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T);2022-03-01

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