scholarly journals Analysis and quality of service evaluation of a fast charging station for electric vehicles

Energy ◽  
2016 ◽  
Vol 112 ◽  
pp. 669-678 ◽  
Author(s):  
Ioannis Zenginis ◽  
John S. Vardakas ◽  
Nizar Zorba ◽  
Christos V. Verikoukis
2021 ◽  
Author(s):  
Angeliki Mathioudaki ◽  
Georgios Tsaousoglou ◽  
Emmanouel varvarigos ◽  
Dimitris Fotakis

We present an online algorithm for scheduling the charging of Electric Vehicles (EVs) in a Charging Station, aiming to optimize the overall quality of service through sum of weighted completion time minimization. Upon arrival of each EV, the algorithm generates a menu of service-price options. By letting the EV users pick their most preferable option, the algorithm offers guaranteed quality of service, achieves near optimal performance, and prevents the users from acting strategically.


2019 ◽  
Vol 5 (1) ◽  
pp. 215-225 ◽  
Author(s):  
Emin Ucer ◽  
Isil Koyuncu ◽  
Mithat C. Kisacikoglu ◽  
Mesut Yavuz ◽  
Andrew Meintz ◽  
...  

2013 ◽  
Vol 291-294 ◽  
pp. 872-877 ◽  
Author(s):  
Guo Bing Qiu ◽  
Wen Xia Liu ◽  
Jian Hua Zhang

As an important infrastructure of electric vehicles (EVs), EV fast charging station is of great significance in the popularization and development of EVs. Through the analysis of the characteristics of EV’s arriving time and charging duration in fast charging station, the stochastic service system was introduced and the queuing system model based on queuing theory was established. By calculating the indexes of the queuing system model, the desire model was used to optimize the number of EV chargers, which could save customers’ waiting time and reduce the investment of charging station. Finally, an example was simulated and calculated with MATLAB used as a simulation tool to verify the effectiveness of this approach.


Sign in / Sign up

Export Citation Format

Share Document