Noise research of traction motor system for electric vehicle based on microphone array

Zai Zhou Wang; Chun Xiang Zhang; Feng Lü; Zhong Liang Wang; Cheng Ning Zhang; Qiang Song

Noise research of traction motor system for electric vehicle based on microphone array

Zai Zhou Wang^*, Chun Xiang Zhang, Feng Lü, Zhong Liang Wang, Cheng Ning Zhang, Qiang Song

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The noise source identification of driving motor system of electric vehicle is studied based on the "sum and delay" algorithm of the beam forming theory in time domain signal processing. The experiments of noise are carried out 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 show that the main noise sources are fan, gear-box and the traction motor in turn.

Original language	English
Pages (from-to)	124-127
Number of pages	4
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	20
Issue number	SUPPL.2
Publication status	Published - Dec 2011

Keywords

Electric vehicle
Experimental
Microphone array
Noise
Traction motor

Cite this

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title = "Noise research of traction motor system for electric vehicle based on microphone array",

abstract = "The noise source identification of driving motor system of electric vehicle is studied based on the {"}sum and delay{"} algorithm of the beam forming theory in time domain signal processing. The experiments of noise are carried out 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 show that the main noise sources are fan, gear-box and the traction motor in turn.",

keywords = "Electric vehicle, Experimental, Microphone array, Noise, Traction motor",

author = "Wang, {Zai Zhou} and Zhang, {Chun Xiang} and Feng L{\"u} and Wang, {Zhong Liang} and Zhang, {Cheng Ning} and Qiang Song",

year = "2011",

month = dec,

language = "English",

volume = "20",

pages = "124--127",

journal = "Journal of Beijing Institute of Technology (English Edition)",

issn = "1004-0579",

publisher = "Beijing Institute of Technology",

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T1 - Noise research of traction motor system for electric vehicle based on microphone array

AU - Wang, Zai Zhou

AU - Zhang, Chun Xiang

AU - Lü, Feng

AU - Wang, Zhong Liang

AU - Zhang, Cheng Ning

AU - Song, Qiang

PY - 2011/12

Y1 - 2011/12

N2 - The noise source identification of driving motor system of electric vehicle is studied based on the "sum and delay" algorithm of the beam forming theory in time domain signal processing. The experiments of noise are carried out 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 show that the main noise sources are fan, gear-box and the traction motor in turn.

AB - The noise source identification of driving motor system of electric vehicle is studied based on the "sum and delay" algorithm of the beam forming theory in time domain signal processing. The experiments of noise are carried out 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 show that the main noise sources are fan, gear-box and the traction motor in turn.

KW - Electric vehicle

KW - Experimental

KW - Microphone array

KW - Noise

KW - Traction motor

UR - http://www.scopus.com/inward/record.url?scp=84860132619&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84860132619

SN - 1004-0579

VL - 20

SP - 124

EP - 127

JO - Journal of Beijing Institute of Technology (English Edition)

JF - Journal of Beijing Institute of Technology (English Edition)

IS - SUPPL.2

ER -

Noise research of traction motor system for electric vehicle based on microphone array

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Keywords

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