Open AccessAn Electric Vehicle Charging Station Service Strategy Based on Logistic Model
Author(s) -
Tong Bao,
Hongwei Yang,
Jianping Zhao,
Long Wang,
Guilei Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052076
Subject(s) - queueing theory , charging station , electric vehicle , service (business) , quality of service , synchronization (alternating current) , computer science , order (exchange) , operations research , simulation , computer network , engineering , business , power (physics) , quantum mechanics , marketing , channel (broadcasting) , physics , finance
In order to improve the charging service quality of electric vehicle charging station(EVCS) and the charging efficiency of electric vehicles(EVs), this paper proposed M/M/k/N queuing theory model for limited capacity charging station, improved the arrival rate of EVs to be charged with the logistic model, and then introduced a synchronization-mutual exclusion mechanism in the two processes of queuing waiting and charging service after EVs entering a station, thereby avoiding resource conflicts, ensuring the charging service process to be a certain order. Finally, through the experimental simulation, we compared the M/M/k/N model proposed in this paper with the traditional M/G/k model, which proved our modified model can effectively reduce the average waiting time and the charging service time. In addition, it is verified the existence of the logistic growth model and the significance of the synchronization-mutual exclusion mechanism.