Acoustic Simulation of the Electric Vehicle Motor

Huibin Li*, Peiyun Xu, Cheng Cao, Dongmei Hu, Xiaojun Yan, Zhihuan Song

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 1
  • Captures
    • Readers: 3
see details

Abstract

People pay more and more attention to NVH (N-noise, V-vibration, and H-harshness) characteristics of electric vehicles and motors. The vibration and noise of the electric vehicle motor is a complex multi physical field problem, related to electromagnetic, mechanical, structural and sound fields. In this paper, firstly, the Maxwell electromagnetic field analysis software is used to build the electromagnetic simulation model of PMSM(Permanent magnet synchronous motor) motor, and then the electromagnetic excitation is calculated. Then, the magnetic solid coupling analysis is carried out by using the Maxwell module and harmonic response module of ANSYS Workbench, and the harmonic response of the motor structure under the action of electromagnetic excitation is simulated. After the simulation of magnetic solid coupling is completed, the BEM(Boundary element method) simulation of the permanent magnet synchronous motor is carried out with the acoustic simulation software LMS Virtual Lab. The acoustic simulation of the permanent magnet synchronous motor shows that the sound pressure level at three measurement points have obvious peak value at 3700Hz, 4500Hz, 5400Hz and 6400Hz respectively. The acoustic simulation results lay the foundation for the vibration and noise reduction of the motor.

Original languageEnglish
Article number012031
JournalJournal of Physics: Conference Series
Volume2095
Issue number1
DOIs
Publication statusPublished - 22 Nov 2021
Event2021 5th International Conference on Electrical, Automation and Mechanical Engineering, EAME 2021 - Guangzhou, Virtual, China
Duration: 17 Sept 202118 Sept 2021

Keywords

  • Acoustic simulation
  • BEM
  • Electric vehicle motor
  • FEM

Fingerprint

Dive into the research topics of 'Acoustic Simulation of the Electric Vehicle Motor'. Together they form a unique fingerprint.

Cite this

Li, H., Xu, P., Cao, C., Hu, D., Yan, X., & Song, Z. (2021). Acoustic Simulation of the Electric Vehicle Motor. Journal of Physics: Conference Series, 2095(1), Article 012031. https://doi.org/10.1088/1742-6596/2095/1/012031