Electric vehicles make no noise because of their inherent nature of silently operating components. This behavior is the same irrespective of speed change. In highways, there is enough protection for separating pedestrians and vehicles. But in city and urban road scenarios, pedestrian safety is compromised. EVs operate at slow speeds in these roads and are very silent. Under such operating conditions, recognizing the vehicle’s presence becomes tedious. This poses a safety concern for vulnerable pedestrians like visually impaired people who mostly rely on auditory signals. The IC engine noise is the most commonly perceived sound for the identification of vehicle’s presence. Sound signatures have been synthesized keeping in mind the speed of the vehicle and audible range of human beings. The key parameters for the sound generation are picked up from the arbitrary combustion engines. The developed engine sounds were evaluated through psychoacoustic tests to match the requirements mentioned above.


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    Titel :

    Sound Inheritance for Electric Vehicles


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Reddy, V. Sivakumar (Herausgeber:in) / Prasad, V. Kamakshi (Herausgeber:in) / Wang, Jiacun (Herausgeber:in) / Reddy, K. T. V. (Herausgeber:in) / Dipika, V. (Autor:in) / Lakshmikanthan, C. (Autor:in)

    Kongress:

    International Conference on Soft Computing and Signal Processing ; 2019 ; Hyderabad, India June 21, 2019 - June 22, 2019



    Erscheinungsdatum :

    14.03.2020


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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