Title :
Research on noise source identification of traction motor system for electric buses based on sound intensity
Author :
Wang Zai-zhou ; Zhang Cheng-ning ; Song Qiang ; Fan Jin-xin ; Zhang Chun-xiang
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
Abstract :
The characteristics of the Electric Vehicle (EV) traction motor system are different from the traditional industrial motor system, and the noise source are also different with different conditions. Based on the theory of sound intensity, the experiments of noise source identification of the Electric Vehicle traction motor system are research through the measurement at discrete points firstly. The noise source of the whole motor are analyzed in details, and the main noise frequencies is 3600 Hz and 5800 Hz. The figure of noise source identification with different frequencies received and 1/3 octave to sound intensity and sound pressure as well as the noise spectrum characteristics can be acquired. In addition, according to the experiments, the noise spectrum characteristics of each part of the Electric Vehicle motor system have been established.
Keywords :
acoustic intensity; electric vehicles; traction motors; discrete points measurement; electric buses; electric vehicle; frequency 3600 Hz to 5800 Hz; noise source identification; noise spectrum characteristics; sound intensity theory; traction motor system; traditional industrial motor system; Acoustic noise; Electric variables measurement; Electric vehicles; Fluid flow measurement; Frequency; Noise measurement; Reluctance motors; Synchronous motors; Torque; Traction motors; Electric Vehicle; Noise; Research; Traction motor; spectrum characteristics;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677716
