Research On Ordered Charge Management System Of Electric Vehicle Based On Multi-network

After the industrial revolution,human society continues making progress and global economy is growing rapidly.The use of fossil energy improves the living standard of human beings,but also brings serious environental pollution and energy shortage crisis.These problems are gradually becoming important factors affecting the long-term survival of mankind.Howerver,the emergence of electric vehicles,to provide a new solution to the above problem,and the vehicles have gotten the strong support of governments around the world.However,large-scale electric vehicles as electricity load access to the grid also has brought great pressure and challenges to the safe and stable operation of the power grid.This paper presents an orderly charging model of electric vehicle based on multi-information network,which takes into accountthe three factors of electric vehicle networking--smart grid,charging equipment and networking.Considering the historical behavior of charging users and the history of the use of charging equipment,to achieve the orderly charging car.At the same time,the model also maximallyensures the safe and stable operation of the power grid side and the charging and charging user's demand for timely and convenient charging.Based on the analysis,it can draw the advantages and disadvantages of the charging equipment operation strategy and provide a basis for the charging equipment operator to adjust the operation plan to further optimize the regional orderly charging service.The ordered charging management system based on the multi network is realized under the premise of data fusion from the vehicle networking,the intelligent power grid and the Internet of things.As the electric vehicle industry ismaking progress and developing,the corresponding supporting network is also rapidly improving,resulting in massive,isomerization of the basic data,which are concentrated in different service providers of information systems and cannot melt each other.It results in insurmountable physical isolation of overall analysis of the three-network data Therefore,this paper constructs a REST-based Web Service data service interface,and utilizes REST's lightweight and efficient data exchange scheme to realize the integration of the three networks data at the data layer level.Then,the basic data of the fusion is used to complete the analysis and processing of the charging user's habits and the heat usage of the charging equipment.The multi-network data is further integrated in the feature layer and the decision-making layer,and then proposes an orderly charging strategy started by the grid side.And finally completed the implementation of the system and the deployment of the cloud service platform.