In this study, a novel estimation model presented in order to calculate the total energy consumption of EVs for different time intervals in the scenario that all the Taxi in New York City are replaced with a specific Electric Vehicle (EV). While the other studies focused on energy consumption prediction on an individual EV, the outputs and results of this study provide a promising approach to estimate the total energy demands of e-Cars. One of the main contributions of this article is to identify the demands patterns at any time intervals (the day, month, and year) to adjust the power generation's schedules and prevent any disturbances due to the consequences of charging a massive amount of EVs in the same time. The output shows that energy consumptions are highly correlated to the weekdays; for instance, generally, the Thursdays and Fridays are considered as a high peak while weekend-days and holidays are the minimums.

Estimating the Total energy Consumptions of Electrical Vehicles under Real-World Driving Conditions

Miraftabzadeh S.;Longo M.;Foiadelli F.
2020-01-01

Abstract

In this study, a novel estimation model presented in order to calculate the total energy consumption of EVs for different time intervals in the scenario that all the Taxi in New York City are replaced with a specific Electric Vehicle (EV). While the other studies focused on energy consumption prediction on an individual EV, the outputs and results of this study provide a promising approach to estimate the total energy demands of e-Cars. One of the main contributions of this article is to identify the demands patterns at any time intervals (the day, month, and year) to adjust the power generation's schedules and prevent any disturbances due to the consequences of charging a massive amount of EVs in the same time. The output shows that energy consumptions are highly correlated to the weekdays; for instance, generally, the Thursdays and Fridays are considered as a high peak while weekend-days and holidays are the minimums.
2020
Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
978-1-7281-7455-6
Big Data
Electric Vehicles
Energy Demands
Estimation Model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1151423
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