Prediction and Diagnosis for Unsteady Electromagnetic Vibroacoustic of IPMSMs for Electric Vehicles Considering Rotor Step Skewing and Current Harmonics

Zhou, Shengsen; Ma, Conggan; Zhang, Nic; Guo, Yue; Degano, Michele; Gerada, Chris; Bu, Feifei; Zeng, Jinling; Li, Qiongyao; An, Yuansheng

Abstract

Purpose: This study provides a detailed investigation on the prediction and diagnosis of unsteady electromagnetic vibroacoustic performance of IPMSMs for electric vehicles under typical unsteady operating conditions with consideration of rotor step skewing and current harmonics. Methods: Firstly, the control model considering the influence of PWM carrier modulation and rotor step skewing is established. Based on this, the currents of the IPMSM under unsteady operating conditions (driving condition and feedback braking condition) are obtained. Accordingly, the currents calculated through the control model are used as the excitation source of electromagnetic finite element. Then, the electromagnetic vibroacoustic performance under unsteady operating conditions is calculated through electromagnetic force subsection mapping and acoustic transfer vector (ATV) method. Moreover, the conditions where resonance vibroacoustic occurs are diagnosed. Finally, the results of prediction and diagnosis are fully verified by experiments of multiple physical fields. Results and Conclusions: The amplitude errors between prediction results and test results are less than 3.2 (Formula presented.). The influence of current harmonics on electromagnetic vibroacoustic can be predicted. The frequency range and speed range of predicted peak vibroacoustic are consistent with the experimental results. The rotor step skewing can be used to weaken the vibroacoustic amplitude of IPMSMs under typical unsteady conditions in the full speed range. This study provides guidance for prediction and diagnosis for electromagnetic vibroacoustic performance of IPMSMs under typical unsteady operating conditions.

Citation

Zhou, S., Ma, C., Zhang, N., Guo, Y., Degano, M., Gerada, C., Bu, F., Zeng, J., Li, Q., & An, Y. (2024). Prediction and Diagnosis for Unsteady Electromagnetic Vibroacoustic of IPMSMs for Electric Vehicles Considering Rotor Step Skewing and Current Harmonics. Journal of vibration engineering & technologies, 12(1), 821-836. https://doi.org/10.1007/s42417-023-00878-9

• Journal Article Type: Article
• Acceptance Date: Jan 25, 2023
• Online Publication Date: Feb 16, 2023
• Publication Date: 2024-01
• Deposit Date: Sep 16, 2024
• Journal: Journal of Vibration Engineering & Technologies
• Print ISSN: 2523-3920
• Electronic ISSN: 2523-3939
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 1
• Pages: 821-836
• DOI: https://doi.org/10.1007/s42417-023-00878-9
• Public URL: https://nottingham-repository.worktribe.com/output/35446512
• Publisher URL: https://link.springer.com/article/10.1007/s42417-023-00878-9