126 Sound quality evaluation of electric vehicles and their positions among internal combustion engine vehicles

2007 ◽  
Vol 2007.17 (0) ◽  
pp. 111-114
Author(s):  
Kazuki YOKOYAMA ◽  
Yasuyuki ASAHARA ◽  
Takeshi TOI
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Quality Evaluation ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Sound Quality

scholarly journals Multidimensional assessment of passenger cars: Comparison of electric vehicles with internal combustion engine vehicles

Procedia CIRP ◽  
2020 ◽  
Vol 90 ◽  
pp. 291-296
Author(s):  
Dennis Wilken ◽  
Matthias Oswald ◽  
Patrick Draheim ◽  
Christian Pade ◽  
Urte Brand ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Passenger Cars ◽  
Multidimensional Assessment

Analysis on Application of HCCI Technology for Hybrid Electric Vehicles

2011 ◽  
Vol 128-129 ◽  
pp. 803-806 ◽  
Author(s):  
Jing Wu ◽  
Hong Yuan Zhang
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Engine Oil ◽  
Effective Solution ◽  
Batch Production ◽  
Technical Problems ◽  
Hybrid Electric

The article introduces HCCI technical characteristics, existing technical problems and characteristics of the hybrid electric vehicles, analyzes application feasibility and advantages of HCCI technology for hybrid electric vehicles and proposes that HCCI technology is an effective solution for the hybrid electric vehicles in increasing economy of internal-combustion engine oil and reducing emissions and further can realize batch production of products.

Chinese Electric Vehicles (EVs) and Internal Combustion Engine Vehicles (ICEVs) Prediction Based on the Double Species Model

2014 ◽  
Vol 918 ◽  
pp. 101-105
Author(s):  
Shi Jun Fu
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicles ◽  
Energy Security ◽  
Slow Growth ◽  
Combustion Engine ◽  
Development Program ◽  
Growth Period ◽  
Internal Combustion ◽  
The Difference ◽  
New Industry

With climate change and energy security being growing concerns, Electric Vehicles (EVs) growth has taken on an accelerated pace. This research aims to predict Chinese EVs and Internal Combustion Engine Vehicles (ICEVs) stock in the forth coming 40 years. We introduce the double species model to fulfil this program, by solving the model and computer simulating, two trajectories for their growth under different scenarios400 vehicles and 500 vehicles per thousand people at 2050 year are obtained. It reveals that, (i) ICEVs is already in booming stage and will last 16-18 years. (ii) EVs has a golden stage which will last 13-14 years, and before this prospective stage, there is an initial slow growth period which will probably last 10-11 years. (iii) Under each scenario, the difference between EVs and ICEVs stock at year 2030 is 8.63%-10.13%, which confirms that Chinese ambitious EVs development program may be realized if government provides strong policy supports on this new industry. Its contribution is a new method to predict EVs as well as getting two interactive trajectories for EVs and ICEVs growth.

scholarly journals Exploring Factors that Influence Individuals’ Choice Between Internal Combustion Engine Cars and Electric Vehicles

2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Dominik Bucher ◽  
Henry Martin ◽  
Jannik Hamper ◽  
Atefeh Jaleh ◽  
Henrik Becker ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Choice Model ◽  
Combustion Engine ◽  
Renewable Energy Sources ◽  
Internal Combustion ◽  
Transport Sector ◽  
Wide Range ◽  
Range Anxiety

Abstract. The adoption of electric vehicles has the potential to help decarbonizing the transport sector if they are powered by renewable energy sources. Limitations commonly associated with e-cars are their comparatively short ranges and long recharging cycles, leading to anxiety when having to travel long distances. Other factors such as temperature, destination or weekday may influence people in choosing an e-car for a certain trip. Using a unique dataset of 129 people who own both an electric vehicle (EV) as well as one powered by an internal combustion engine (ICE), we analyze tracking data over a year in order to have an empirically verified choice model. Based on a wide range of predictors, this model tells us for an individual journey if the person would rather choose the EV or the ICE car. Our findings show that there are only weak relations between the predictor and target variables, indicating that for many people the switch to an e-car would not affect their lifestyle and the related range anxiety diminishes when actually owning an electric vehicle. In addition, we find that choice behavior does not generalize well over different users.

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