Research On Intelligent Charging Navigation Method Of Electric Vehicle Based On Cloud Computing

Electric vehicles are inconvenient to charge due to short battery life,long charging time,insufficient information between charging infrastructure.Users are also prone to mileage anxiety.Therefore,it is necessary to study the charging problem of EV,in order to improve the operational efficiency of charging facilities,improve the experience of EV users,and solve the charging problem.Aiming at the charging problem of electric vehicles,this thesis studies the intelligent charging and navigation method of electric vehicles based on cloud computing.Charging navigation refers to collecting the electric vehicle's electric quantity,traffic information,charging post status information through sensors,and uploading the collected information to the cloud computing platform through the network.The cloud computing platform classifies stores and utilizes the data.The model calculates the cruising range and travel time of the electric vehicle to realize real-time navigation of electric vehicles under dynamic changes of power,charging pile status and road conditionThis paper mainly studies the system framework,charging navigation model and example verification of charging navigation for EV based on cloud computing.The main research results of this paper are as follows:(1)The logical framework and internal structural framework of intelligent charging and navigation of electric vehicles based on cloud computing are built which provides the hardware foundation for intelligent charging and navigation of electric vehicles.The logical framework reflects the functions of each layer of cloud computing,and also reflects the direction of information flow between users,sensing devices and systems;the internal structural framework reflects the internal structure of the intelligent charging and navigation system,including the cloud computing platform.The technology used,the communication mechanism and the mechanism of security management.(2)A smart charging navigation model for electric vehicles based on cloud computing is established and a solution method for the model is proposed.The SOC value of the electric vehicle battery and the energy consumption of the electric vehicle are predicted to predict the cruising range of the electric vehicle;the queuing theory is used to calculate the charging queuing time;road travel time is predicted by multi-step prediction method.The charging model of the electric vehicle based on the shortest time is established,and the related algorithm is written.The model is solved by Dijkstra algorithm.(3)An example is given to verify the intelligent charging navigation of electric vehicle.The urban road network of 30km*30km is simulated in the stand-alone environment and cloud computing environment respectively.Under the assumption of electric vehicle power,charging pile queuing information and road information are known,the charging navigation of electric vehicle is carried out.The results show that the proposed algorithm can plan the shortest travel path for EV users,which verifies the rationality and practicability of the model.The research results of this thesis have made a useful exploration for the establishment of a unified charging operation platform,and provided a direction for the follow-up study of charging navigation of electric vehicles.This study has certain theoretical and practical value.