Abstract
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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Acknowledgements
All procedures performed in studies involving human participants were in accordance with the ethical standards of the Research Advisory Committee/Ethics Committee of Amrita Vishwa Vidyapeetham. Informed consent was obtained from all individual participants included in the study.
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Dipika, V., Lakshmikanthan, C. (2020). Sound Inheritance for Electric Vehicles. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_55
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DOI: https://doi.org/10.1007/978-981-15-2475-2_55
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