Observation and evaluation model of warning sound in an electric vehicle warning index based on whine index

Abstract

Electric Vehicles (EV) generate sound pressure lower than internal combustion engines(ICE) at low speed. Pedestrians familiar with internal combustion engines are difficult to recognize such a quite vehicles. Therefore, an additional warning sound generator is required. The warning sound must have high detectability and low annoyance to pedestrians, while complying with legislation for warning sound of various countries. In this paper, the validity of the index was verified using previous research results. In previous research, AI (Annoyance Index) and DI (Detectability Index) of the electric vehicle warning sound were obtained with a consideration of the masking effect. 12 signal synthesized four warning sounds and three background noises are used. In this study, a warning sound generator was installed into electric vehicle, and jury test result was obtained. The member of the jury tester, distance, and speed from the electric vehicle were performed under the same conditions as the previous study.