• DocumentCode
    3422631
  • 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
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/VPPC.2008.4677716
  • Filename
    4677716