Microscopic Driving Parameters-Based Energy Consumption Rate Comparison between Electric Vehicle and Gasoline Vehicle

2013 ◽  
Vol 361-363 ◽  
pp. 2088-2091 ◽  
Author(s):  
En Jian Yao ◽  
Zhi Feng Lang ◽  
Yuan Yuan Song ◽  
Yang Yang
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Consumption Rate ◽  
Electricity Consumption ◽  
Coal Consumption ◽  
Gasoline Consumption ◽  
Energy Consumption Reduction ◽  
Light Duty ◽  
Consumption Reduction ◽  
Consumption Rates

Based on the emission and electricity consumption data collected by a light-duty electric vehicle (EV) and a light-duty gasoline vehicle (GV), a set of electricity consumption rate models and gasoline consumption rate models are established with instantaneous speed and acceleration as input parameters of these models contain while the outputs are electricity & gasoline consumption rates. then, the gasoline & electricity consumption rate models are transformed into standard coal consumption rate models based on the conversion formula of standard coal, respectively. Finally, comparisons about standard coal consumption rates are made between EV and GV under different operation modes. The results show that EV has an obvious advantage over GV in energy consumption reduction.

scholarly journals Daily Habits and Energy Consumption: Go to Bed Earlier for Environmental Protection

2019 ◽  
Vol 8 (4) ◽  
pp. 54
Author(s):  
Shigeru Matsumoto
Keyword(s):  
Energy Consumption ◽  
Time Allocation ◽  
Electricity Consumption ◽  
Socioeconomic Background ◽  
Household Energy ◽  
Residential Sector ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Original Survey ◽  
The Impact

Energy consumption reduction in the residential sector is crucial for mitigating global warming. This has prompted researchers to investigate the determinants of household energy consumption from various aspects. However, previous studies have not examined the impact of time allocation on energy consumption, primarily because of the lack of surveys that simultaneously examine time allocation and energy consumption. We conducted an original survey of 547 Japanese households to examine whether time allocation affects their electricity consumption. We divided a 48-hour period into 192 time slots and asked the households to choose one of the 20 types of actions listed for each slot. We also collected information on the socioeconomic background and electricity consumption of the households. After controlling for various factors that affect household electricity consumption, we examined whether time allocation determines electricity consumption. The empirical result of our study revealed that while a married male’s bedtime does not affect electricity consumption, a married female’s bedtime does. This suggests that it is essential to understand the daily habits of consumers for proposing effective energy conservation measures.Keywords: Electricity Usage, Household, Time Allocation

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.

Analysis of energy consumption reduction in metro systems using rolling stop-skipping patterns

2019 ◽  
Vol 127 ◽  
pp. 129-142 ◽  
Author(s):  
Songpo Yang ◽  
Jianjun Wu ◽  
Xin Yang ◽  
Feixiong Liao ◽  
Daqing Li ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Metro Systems

Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

2017 ◽  
Vol 31 (34) ◽  
pp. 1750324 ◽  
Author(s):  
Hong Xiao ◽  
Hai-Jun Huang ◽  
Tie-Qiao Tang
Keyword(s):  
Energy Consumption ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Traffic Flow ◽  
Small Perturbation ◽  
Electric Vehicles ◽  
Electricity Consumption ◽  
Heterogeneous Traffic ◽  
Rarefaction Waves ◽  
Fuel Consumption And Emissions

Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

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