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Automotive Engineering ›› 2023, Vol. 45 ›› Issue (5): 845-853.doi: 10.19562/j.chinasae.qcgc.2023.05.014

Special Issue: 新能源汽车技术-电驱动&能量管理2023年

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Vibration Characteristic Analysis of Drive Motor Considering Parameter Uncertainty

Lü Hui1,2,Shuai Jiang1,Zhengjun Wei1(),Yisha Cao3   

  1. 1.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou  510641
    2.Guangxi University of Science and Technology,Guangxi Key Laboratory of Automobile Components and Vehicle Technology,Liuzhou  545006
    3.CRAT Test & Certification Company Ltd. ,Guangzhou  510530
  • Received:2022-10-26 Revised:2022-12-01 Online:2023-05-25 Published:2023-05-26
  • Contact: Zhengjun Wei E-mail:weizhj@scut.edu.cn

Abstract:

To handle the complex situation of uncertain parameters of the drive motor of the electric vehicle, an analysis method for the vibration characteristics of the drive motor considering mixed parameter uncertainty is proposed. Firstly, the response models of the radial electromagnetic force, torque ripple and cogging torque of the drive motor are established based on the neural network surrogate model. Then, the uncertain parameters of drive motor are described by the mixed uncertainty model, where the uncertain parameters with sufficient information are described as random variables, while the uncertain parameters with limited information are described as interval variables. Next, the Taylor series expansion-central difference method( TSE-CDM) is derived to calculate the mixed uncertain responses of the vibration characteristics of drive motor through combining Taylor series expansion and central difference method.Finally, a Monte Carlo method is given as the reference method to verify the effectiveness of TSE-CDM. The numerical analysis results of a drive motor show that the vibration characteristics of the drive motor can be calculated efficiently and accurately based on the 2D finite element model and the neural network model; and the mixed uncertain responses of the vibration characteristics of the drive motor can be effectively solved by TSE-CDM.

Key words: drive motor, vibration characteristics, uncertainty, surrogate model