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

被引:0
|
作者
Miraftabzadeh, Seyedmahdi [1 ]
Longo, Michela [1 ]
Foiadelli, Federica [1 ]
机构
[1] Politecn Milan, Dept Energy, Milan, Italy
来源
2020 20TH IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2020 4TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE) | 2020年
关键词
Electric Vehicles; Big Data; Energy Demands; Estimation Model; CHARGING DEMAND; MODEL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
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收藏
页数:5
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