Electric Vehicle Energy Consumption Simulation by Modeling the Efficiency of Driveline Components

2016 ◽  
Vol 9 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Mohammad Gerami Tehrani ◽  
Juuso Kelkka ◽  
Jussi Sopanen ◽  
Aki Mikkola ◽  
Kimmo Kerkkänen
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Energy Consumption Simulation

Analysis of Energy Consumption in an Electric Vehicle through Virtual Reality Set-Up

2020 ◽  
Author(s):  
Marika Lamanuzzi ◽  
Jacopo Andrea Di Antonio ◽  
Federica Foiadelli ◽  
Michela Longo ◽  
Andrea Labombarda ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Set Up

scholarly journals Optimal control of boiler system based on IoT and energy consumption simulation

2021 ◽  
Vol 1904 (1) ◽  
pp. 012005
Author(s):  
Wang Xianru ◽  
Zhang Xinmin ◽  
Zhu Han ◽  
Yu Xuyun
Keyword(s):  
Optimal Control ◽  
Energy Consumption ◽  
Energy Consumption Simulation

Developing an electric vehicle urban driving cycle to study differences in energy consumption

2018 ◽  
Vol 26 (14) ◽  
pp. 13839-13853 ◽  
Author(s):  
Xuan Zhao ◽  
Jian Ma ◽  
Shu Wang ◽  
Yiming Ye ◽  
Yan Wu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Driving Cycle

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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