Vehicle Noise Testing Problems Due to Vehicle/Tire/Road Interactions

2009 ◽  
pp. 185-185-19
Author(s):  
P Wagner
Keyword(s):  
Vehicle Noise

scholarly journals Recent progress in battery electric vehicle noise, vibration, and harshness

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042110052
Author(s):  
Xia Hua ◽  
Alan Thomas ◽  
Kurt Shultis
Keyword(s):  
Electric Vehicle ◽  
Recent Progress ◽  
Combustion Engine ◽  
Automatic Transmission ◽  
Battery Electric Vehicle ◽  
Vehicle Noise ◽  
Conventional Vehicle ◽  
Transfer Case ◽  
Air Intake ◽  
Noise Vibration

As battery electric vehicle (BEV) market share grows so must our understanding of the noise, vibration, and harshness (NVH) phenomenon found inside the BEVs which makes this technological revolution possible. Similar to the conventional vehicle having encountered numerous NVH issues until today, BEV has to face many new and tough NVH issues. For example, conventional vehicles are powered by the internal combustion engine (ICE) which is the dominant noise source. The noises from other sources were generally masked by the combustion engine, thus the research focus was on the reduction of combustion engine while less attention was paid to noises from other sources. A BEV does not have ICE, automatic transmission, transfer case, fuel tank, air intake, or exhaust systems. In their place, there is more than enough space to accommodate the electric drive unit and battery pack. BEV is quieter without a combustion engine, however, the research on vehicle NVH is even more significant since the elimination of the combustion engine would expose many noise behaviors of BEV that were previously ignored but would now seem clearly audible and annoying. Researches have recently been conducted on the NVH of BEV mainly emphasis on the reduction of noise induced by powertrain, tire, wind and ancillary system and the improvement of sound quality. This review paper will focus on recent progress in BEV NVH research to advance the BEV systems in the future. It is a review for theoretical, computational, and experimental work conducted by both academia and industry in the past few years.

Perceptual Difference on HVAC Sound Quality between Electric and Conventional Vehicles

2021 ◽  
Vol 263 (2) ◽  
pp. 4189-4198
Author(s):  
Katsuya Yamauchi ◽  
Minori Dan ◽  
Federico Cioffi ◽  
Luigi Maffei ◽  
Massimiliano Masullo
Keyword(s):  
Electric Vehicles ◽  
Background Noise ◽  
Collaborative Research ◽  
Combustion Engine ◽  
Subjective Evaluation ◽  
Sound Quality ◽  
Hvac System ◽  
Air Flow Rate ◽  
Vehicle Noise ◽  
The Difference

The heating, ventilation and air-conditioning (HVAC) system is one of the most critical sources in in-vehicle noise environment, especially when cars are moving at low speed or at lower engine rotation. With the transition to electric vehicles (EV) from internal combustion engine vehicles (ICEV), the contribution of powertrain becomes lower on the background noise inside car cabins. The authors have been conducting a collaborative research on HVAC sound quality inside car cabins. In this paper the results of a subjective evaluation of HVAC sound quality were presented, that attempted to compare the perceptual differences among the two groups, i.e. EVs and ICEVs. The result revealed the difference in the noise perception among the two types of vehicles especially softer air flow rate conditions.

Grey prediction models for the standard limit of vehicle noise

2017 ◽  
Vol 232 (7) ◽  
pp. 973-979 ◽  
Author(s):  
Zhendong Zhao ◽  
Changzheng Hu
Keyword(s):  
Prediction Models ◽  
System Development ◽  
Original Data ◽  
Grey Theory ◽  
Grey Prediction ◽  
Vehicle Noise ◽  
Direct Model ◽  
The Future ◽  
Quadratic Fitting ◽  
Verhulst Model

With an increasing number of vehicles and increasing environmental protection requirements, countries have accelerated the rate of revision of automobile noise standards and legislation. Scientific prediction of the limiting values in future noise standards is helpful to promote the development of automobile noise reduction technology and measurement analysis technology. The development of noise standard limits has its own objective laws and is restricted to the current and future developments in automotive technology. The amplitude of noise will be reduced increasingly less in the future. Grey prediction theory can explore the variation rules by processing a few effective data. In this paper, grey theory is used to deal with the limited original data in the vehicle noise standard. Non-equal-interval quadratic fitting of the grey Verhulst direct model to predict the future noise standard limits is selected on the basis of calculation and comparison of different models. The Verhulst model is employed to describe the system development by using the characteristics of saturation. By means of quadratic fitting, the accuracy of the Verhulst model can be further improved. The simulation results show the validity and the accuracy of the model. The prediction result is useful for standards and regulations makers and for car manufacturers.

The Influence of In-Vehicle Noise on Speech Recognition for Automotive Voice-Activated Control Systems

2002 ◽  
Vol 33 (9) ◽  
pp. 19-23
Author(s):  
By Dave G. Fish
Keyword(s):  
Speech Recognition ◽  
Control Systems ◽  
Convenient Method ◽  
Vehicle Control ◽  
Climate Control ◽  
High Demand ◽  
Vehicle Noise ◽  
Control Functions ◽  
Wide Range ◽  
Vehicle Systems

Voice activation provides a safe and convenient method of controlling vehicle systems such as in-car entertainment, telecommunications and climate control. In the fullness of time it is likely that there will be a high demand across all vehicle classes for such systems for a wide range of vehicle control functions. One of the challenges facing their development and introduction into vehicles is that of the in-vehicle noise environment.

Experimental Study of Vehicle Noise and Traffic Pollution

2020 ◽  
pp. 47-54
Author(s):  
Sana Abbes ◽  
Hichem Hassine ◽  
Maher Barkallah ◽  
Jamel Louati ◽  
Mohamed Haddar
Keyword(s):  
Experimental Study ◽  
Traffic Pollution ◽  
Vehicle Noise

Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments

2020 ◽  
Vol 100 (3-4) ◽  
pp. 1309-1323
Author(s):  
Jesse Callanan ◽  
Payam Ghassemi ◽  
James DiMartino ◽  
Maulikkumar Dhameliya ◽  
Christina Stocking ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Noise ◽  
Aerial Vehicle
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