Research of noise source identification of traction motor system for electric vehicle based on microphone array

Cheng Ning Zhang*, Zai Zhou Wang, Qiang Song

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

In order to satisfy the noise source identification of driving motor system on electric vehicle, based on the 'sum and delay' algorithm of the beamforming theory in the time domain signal processing, the experiments about noise are studied through the crossed planar microphone array, which consists of 27 microphones. During the experiment, the motor runs at the speed of 1000 r/min and the torque is 380 N?m. The results indicate that the main noise sources are fan, gear-box and some structures of the traction motor. To validate the experiment results, the experiments about noise are studied through the measurement at discrete points based on the theory of sound intensity. The results indicate that the method based on sound array can identify noise sources more quickly than that based on sound intensity and they are all effective. The method of sound array can also be feasibly used in the other mechanism or electric equipment to identify noise source.

Original languageEnglish
Pages (from-to)109-112
Number of pages4
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume28
Issue number30
Publication statusPublished - 25 Oct 2008

Keywords

  • Electric vehicle
  • Experimental study
  • Microphone array
  • Noise source identification
  • Traction motor

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