A Charging Station Centric Cooperative edge computing Architecture for Computation of Electric Vehicles and Charging Facilities

In recent years, with the rapid development of the new energy industry, electric vehicles and urban electric vehicle charging equipment have been rapidly developed. To improve charging efficiency and users' quality of experience, more computing resource is requested for charging optimization. Edge computing is an effective way to provide intelligent computing capabilities. Considering that the edge computing nodes will be more and more intensive, in this paper, we propose a charging station centric cooperative edge computing architecture for electric vehicles and charging facilities. We first give the overall design of this architecture, and then describe the navigation system, deep learning module and computing resource virtualization in detail. Finally, simulation experiments are conducted on the calculated load and average user waiting time at nearby base stations during charging to demonstrate the efficiency of the intelligent computing proposed in this paper.