Electric buses have been used widely as cities' short-range commuter vehicles, because of their excellent power, fuel economy and emission characteristics. However, the lack of a noise masking effect for the traditional internal combustion engine, the high-frequency noise becomes more prominent for the powertrain system. The high-frequency noise gives people an unpleasant feeling on psychological and physiological. To control electric vehicle powertrain noise, the identification of the main noise source of the powertrain is well needed. In this paper, Empirical Mode decomposition (EMD) combined with Independent component Analysis (ICA) and continuous Wavelet transform (CWT) was used to identify the main noise source of the electric bus powertrain. The contribution of each noise source to the overall noise level was calculated and compared. The results showed that there were four main noise sources of the electric bus powertrain: the engagement noise of the shifting gear and constant-mesh gear, cogging harmonic noise and switching frequency noise. The contribution of the shifting gear engagement noise was the greatest, followed by the constant-mesh gear engagement noise, and the contributions of the cogging harmonic noise and switching frequency noise were approximately of the same degree.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Noise Source Identification of the Electric Bus Powertrain Using a Wavelet Transform and EEMD-RobustICA


    Additional title:

    Sae Technical Papers


    Contributors:
    Wei, Changyin (author) / Liu, Hai (author) / Yu, Hanzhengnan (author) / Wang, Jingang (author) / Ma, Kunqi (author) / Chen, Yong (author)

    Conference:

    WCX SAE World Congress Experience ; 2019



    Publication date :

    2019-04-02




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Noise Source Identification of the Electric Bus Powertrain Using a Wavelet Transform and EEMD-RobustICA

    Wei, Changyin / Yu, Hanzhengnan / Wang, Jingang et al. | British Library Conference Proceedings | 2019


    Identification of Noise Source in Electric Power Steering System Using Wavelet Transform

    Ishii, Hideaki / Ikeuchi, Hiroki / Uemura, Hiroshi et al. | SAE Technical Papers | 2007


    Identification of noise source in electric power steering system using wavelet transform

    Ishii,H. / Uemura,H. / Zhang,Z. et al. | Automotive engineering | 2007


    Knock Feature Extraction in Spark Ignition Engines Using EEMD-Hilbert Transform

    Bi, Fengrong / Zhang, Jian / Ma, Teng | SAE Technical Papers | 2016


    POWERTRAIN, NOISE SUPPRESSION METHOD AND ELECTRIC VEHICLE

    TANG ZHENGYI / MEI XUEYU / EERHEMU BAYAER et al. | European Patent Office | 2023

    Free access