Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Conference Proceedings
Publisher : Soft Computing and Signal Processing, Advances in Intelligent Systems and Computing, Springer Singapore,
Source : Soft Computing and Signal Processing, Advances in Intelligent Systems and Computing, Springer Singapore, Volume 1118, Singapore, p.601-611 (2020)
Url : https://link.springer.com/chapter/10.1007/978-981-15-2475-2_55
ISBN : 9789811524752
Keywords : Acoustic warning, Blind, electric vehicle, IC engine noise, Pedestrian safety, Psychoacoustic studies
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2020
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.
Cite this Research Publication : V. Dipika and Lakshmikanthan C., “Sound Inheritance for Electric Vehicles”, Soft Computing and Signal Processing, Advances in Intelligent Systems and Computing, vol. 1118. Springer Singapore, Singapore, pp. 601-611 , 2020.