Energy Consumption Reduction Strategies for Plug-In Hybrid Electric Vehicles with Connected Vehicle Technology in Urban Areas

2014 ◽  
Vol 2424 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Parth Bhavsar ◽  
Yiming He ◽  
Mashrur Chowdhury ◽  
Ryan Fries ◽  
Andrew Shealy
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Urban Areas ◽  
Hybrid Electric Vehicles ◽  
Connected Vehicle ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Reduction Strategies ◽  
Connected Vehicle Technology ◽  
Vehicle Technology

scholarly journals Peak Power Demand and Energy Consumption Reduction Strategies for Trains under Moving Block Signalling System

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Qing Gu ◽  
Tao Tang ◽  
Fang Cao ◽  
Hamid Reza Karimi ◽  
Yongduan Song
Keyword(s):  
Energy Consumption ◽  
Peak Power ◽  
Target Point ◽  
Power Demand ◽  
Stopping Distance ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Reduction Strategies ◽  
Consumption Energy ◽  
Arrival Time Delay

In the moving block signalling (MBS) system where the tracking target point of the following train is moving forward with its leading train, overload of the substations occurs when a dense queue of trains starts (or restarts) in very close distance interval. This is the peak power demand problem. Several methods have been attempted in the literature to deal with this problem through changing train’s operation strategies. However, most existing approaches reduce the service quality. In this paper, two novel approaches—“Service Headway Braking” (SHB) and “Extending Stopping Distance Interval” (ESDI)—are proposed according to available and unavailable extra station dwell times, respectively. In these two methods, the restarting times of the trains are staggered and traction periods are reduced, which lead to the reduction of peak power demand and energy consumption. Energy efficient control switching points are seen as the decision parameters. Nonlinear programming method is used to model the process. Simulation results indicate that, compared with ARL, peak power demands are reduced by 40% and 20% by applying SHB and ESDI without any arrival time delay, respectively. At the same time, energy consumptions are also reduced by 77% and 50% by applying SHB and ESDI, respectively.

scholarly journals Research on Construction Method of Urban Driving Cycle of Pure Electric Vehicle

2021 ◽  
Vol 252 ◽  
pp. 02064
Author(s):  
Xiao Li ◽  
Zhifei Pang ◽  
Hongxue Zhao
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Driving Cycle ◽  
Vehicle Performance ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Vehicle Test ◽  
Acquisition Method

The driving cycle of the vehicle is taken as the basis of the vehicle test, which plays an important role in improving vehicle performance and reducing energy consumption. Traditional fuel vehicles have been studied more in the current stage. Test conditions specifically for pure electric vehicles have been less studied. The data acquisition method of pure electric vehicle is studied and used to collect driving data. The driving cycle was established through the extraction and analysis of characteristic parameters. The research results can lay a foundation for the research of driving system optimization and energy consumption reduction of pure electric vehicles.

scholarly journals Demographic, Social, Economic, and Regional Factors Affecting the Diffusion of Hybrid Electric Vehicles in Japan

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2130
Author(s):  
Ken’ichi Matsumoto ◽  
Yui Nakamine ◽  
Sunyong Eom ◽  
Hideki Kato
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Carbon Dioxide Emissions ◽  
Regional Differences ◽  
Fixed Effects ◽  
Hybrid Electric Vehicles ◽  
Alternative Fuel Vehicles ◽  
Factors Affecting ◽  
Hybrid Electric ◽  
The Right

The transportation sector is a major contributor to carbon dioxide emissions, and the resulting climate change. The diffusion of alternative fuel vehicles, including hybrid electric vehicles (HEV), is an important solution for these issues. This study aimed to evaluate the factors affecting the ownership ratio of HEVs, particularly passenger vehicles, and the regional differences in the purchase of HEVs in Japan. This study performed a fixed-effects regression analysis with panel data for 47 prefectures during the period 2005–2015 to evaluate the factors affecting the HEV ownership ratio and conducted three cluster analyses to investigate the regional differences in diffusion in terms of price categories, body types, and drive systems of HEVs. Some demographic and social factors were found to affect the ownership ratio in Japan, whereas economic factors, including prefecture-level subsidies for purchasing HEVs, were not. Regarding regional differences, prefectures in urban areas with higher income levels tend to purchase more expensive and large-sized HEVs. These results suggest that a strategy to sell the right vehicle to the right person and region is essential for further promoting HEVs in Japan.

A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications

2018 ◽  
Vol 19 (3) ◽  
pp. 787-801 ◽  
Author(s):  
Yuheng Du ◽  
Mashrur Chowdhury ◽  
Mizanur Rahman ◽  
Kakan Dey ◽  
Amy Apon ◽  
...  
Keyword(s):  
Connected Vehicle ◽  
Message Delivery ◽  
Technology Applications ◽  
Connected Vehicle Technology ◽  
Vehicle Technology
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