Electric Vehicle Energy Consumption and Range Test Procedure

1993 ◽  
Author(s):  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Test Procedure ◽  
Range Test

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

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

An adaptive equivalent consumption minimization strategy considering catalyst temperature for plug-in hybrid electric vehicle

2021 ◽  
pp. 095440702110434
Author(s):  
Tao Deng ◽  
Ke Zhao ◽  
Haoyuan Yu
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Test Procedure ◽  
Catalyst Temperature ◽  
Equivalent Factor ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Equivalent Consumption Minimization Strategy

In the process of sufficiently considering fuel economy of plug-in hybrid electric vehicle (PHEV), the working time of engine will be reduced accordingly. The increased frequency that the three-way catalytic converter (TWCC) works in abnormal operating temperature will lead to the increasing of emissions. This paper proposes the equivalent consumption minimization strategy (ECMS) to ensure the catalyst temperature of PHEV can work in highly efficient areas, and the influence of catalyst temperature on fuel economy and emissions is considered. The simulation results show that the fixed equivalent factor of ECMS has great limitations for the underutilized battery power and the poor fuel economy. In order to further reduce fuel consumption and keep the emission unchanged, an equivalent factor map based on initial state of charge (SOC) and vehicle mileage is established by the genetic algorithm. Furthermore, an Adaptive changing equivalent factor is achieved by using the following strategy of SOC trajectory. Ultimately, adaptive equivalent consumption minimization strategy (A-ECMS) considering catalyst temperature is proposed. The simulation results show that compared with ordinary ECMS, HC, CO, and NOX are reduced by 14.6%, 20.3%, and 25.8%, respectively, which effectively reduces emissions. But the fuel consumption is increased by only 2.3%. To show that the proposed method can be used in actual driving conditions, it is tested on the World Light Vehicle Test Procedure (WLTC).

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