Adaptive Charging Simulation Model for Different Electric Vehicles and Mobility Patterns

被引：0
|
作者：
Hammerschmitt, Bruno Knevitz [1 ,2 ]
Unsihuay-Vila, Clodomiro [2 ]
Sausen, Jordan Passinato [1 ]
Capeletti, Marcelo Bruno [1 ]
Aoki, Alexandre Rasi [2 ]
Teixeira, Mateus Duarte [2 ]
Barriquello, Carlos Henrique [1 ]
Abaide, Alzenira da Rosa [1 ]
机构：
[1] Univ Fed Santa Maria, Grad Program Elect Engn, BR-97105900 Santa Maria, RS, Brazil
[2] Univ Fed Parana, Dept Elect Engn, BR-81531980 Curitiba, PR, Brazil
来源：
ENERGIES | 2024年 / 17卷 / 16期
关键词：
electric vehicle; charging load profile; charging standard; electric mobility; scalability; SYSTEM; IMPACT;
D O I：
10.3390/en17164032
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Electric mobility is a sustainable alternative for mitigating carbon emissions by replacing the conventional fleet. However, the low availability of data from charging stations makes planning energy systems for the integration of electric vehicles (EVs) difficult. Given this, this work focuses on developing an adaptive computational tool for charging simulation, considering many EVs and mobility patterns. Technical specifications data from many EVs are considered for charging simulation, such as battery capacity, driving range, charging time, charging standard for each EV, and mobility patterns. Different simulations of charging many EVs and analyses of weekly charging load profiles are carried out, portraying the characteristics of the different load profiles and the challenges that system planners expect. The research results denote the importance of considering different manufacturers and models of EVs in the composition of the aggregate charging load profile and mobility patterns of the region. The developed model can be adapted to any system, expanded with new EVs, and scaled to many EVs, supporting different research areas.
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页数：21
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