Open AccessResearch on Electric Vehicle Charging Scheduling Strategy Based on Graph Model
Author(s) -
Zhen Wang,
Aidong Xu,
Yunan Zhang,
Qianru Wang,
Xiaofei Xu,
Yixin Jiang,
Wen Hong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1673/1/012063
Subject(s) - electric vehicle , automotive industry , computer science , scheduling (production processes) , shortest path problem , graph , charging station , range (aeronautics) , operations research , mathematical optimization , automotive engineering , transport engineering , power (physics) , engineering , mathematics , theoretical computer science , physics , quantum mechanics , aerospace engineering
In recent years, electric vehicles (EVs) have gradually become the development trend of the future automotive industry due to its advantages of zero emission, low noise, and high efficiency. At this stage, a large number of EV freely charging without guidance will bring many negative effects on the operation of urban traffic and power distribution systems. Therefore, how to correctly guide the vehicle to charge efficiently has become an urgent problem to be solved. Starting from economic factors, time factors, and user characteristics, this paper proposes an electric vehicle charging recommendation optimization model based on graph calculation. The graph model is generated according to the geographic location of the charging station, and the shortest path algorithm and charging scheduling strategy, which is used to recommend EV to users. The charging station with the smallest comprehensive cost within a certain range of the car.