TY - GEN
T1 - Measurement and assessment on environmental noise impact of electric vehicles in accelerating condition
AU - Yamauchi, Katsuya
AU - Yoshino, Jo
N1 - Publisher Copyright:
© INTER-NOISE 2021 .All right reserved.
PY - 2021
Y1 - 2021
N2 - Noise emission from the vehicles propelled by electric system (such as pure electric and hybrid electric vehicles) is usually lower than the conventional internal combustion engine vehicles. Some previous studies have been shown the difference in A-weighted sound power level of electric vehicles from the conventional ones, the difference is not dramatically large, i.g., less than 4 dB when the cars running at steady speed of 20 km/h. In this paper, we present the additional measurement results of sound power level of EVs in accelerating condition. Because when the cars in accelerating condition, the difference of propulsion systems becomes more significant on noise emission. The results are shown as regression model of sound power level depending on the vehicle speed. Furthermore, the environmental noise impact of growing population of EVs is assessed through a prediction of LAeq in the vicinity of a signalized intersection.
AB - Noise emission from the vehicles propelled by electric system (such as pure electric and hybrid electric vehicles) is usually lower than the conventional internal combustion engine vehicles. Some previous studies have been shown the difference in A-weighted sound power level of electric vehicles from the conventional ones, the difference is not dramatically large, i.g., less than 4 dB when the cars running at steady speed of 20 km/h. In this paper, we present the additional measurement results of sound power level of EVs in accelerating condition. Because when the cars in accelerating condition, the difference of propulsion systems becomes more significant on noise emission. The results are shown as regression model of sound power level depending on the vehicle speed. Furthermore, the environmental noise impact of growing population of EVs is assessed through a prediction of LAeq in the vicinity of a signalized intersection.
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U2 - 10.3397/IN-2021-2631
DO - 10.3397/IN-2021-2631
M3 - Conference contribution
AN - SCOPUS:85117374939
T3 - Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering
BT - Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering
A2 - Dare, Tyler
A2 - Bolton, Stuart
A2 - Davies, Patricia
A2 - Xue, Yutong
A2 - Ebbitt, Gordon
PB - The Institute of Noise Control Engineering of the USA, Inc.
T2 - 50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021
Y2 - 1 August 2021 through 5 August 2021
ER -