Research Of Network Slicing Mechanism In Electric Vehicle Charging And Swapping Network

With the continuous expansion of the market scale of the domestic electric vehicle industry and the continuous development of Internet of Vehicle technology,the electric vehicle charging and swapping network must not only meet the communication needs of charging equipment in the station,but also ensure the reliable communication of electric vehicle users.However,the traditional power private network lacks flexibility and scalability.It will cause a waste of network resource to ensure the communication requirements of charging equipment and electric vehicle users at the same time.Therefore,a network slicing mechanism needs to be introduced to improve resource utilization.The network slicing technology can realize a flexible,scalable,and customized networking mode,and establish a logically isolated end-to-end communication connection on a unified physical resource for each user.Scholars from various countries have conducted comprehensive research on network slicing technology,and the problem of resource allocation has attracted extensive attention.However,in the electric vehicle charging and swapping network scenario,the widely different network requirements of charging equipment and electric vehicles in different periods of time pose new challenges to the problem of network slice resource allocation.In this paper,based on the analysis of the characteristics of the electric vehicle charging and swapping network scenario,a network slicing mechanism is introduced for the electric vehicle charging and swapping network.Based on the foundation of State Grid,this paper fully analyzes the different network communication needs of charging equipment and electric vehicles in different time periods in the electric vehicle charging and swapping network scenario,designs a communication demand prediction mechanism based on vehicle mobility prediction,and proposes a network slice resource allocation algorithm.A network simulation platform is built to conduct the experiments,and it verifies the significance of the algorithms.The main work has the following three points:First,it proposes an electric vehicle charging and swapping network architecture based on network slicing,and designs service function chains with different network functions for charging equipment and electric vehicles.Aiming at the network mobility support needs of electric vehicles,a virtualized mobility management entity model suitable for network slicing architecture is designed.Second,a communication demand forecasting mechanism based on vehicle mobility prediction is designed.A back propagation artificial neural network is used to predict the arrival rate of vehicles,and then a throughput demand prediction model for charging equipment and electric vehicle network slices as well as a mobility demand prediction model for electric vehicle network are established.The accuracy is verified by the real data set.Thirdly,a mathematical model for describing network slicing resource allocation problems in electric vehicle charging and swapping networks is established,and a network slicing resource allocation algorithm based on user demand prediction is proposed.The effectiveness of the algorithm is verified by NS3 network simulation experiments.