Wireless Cooperative Charing Model And Application Of Electric Vehicles In Vehicular Network

With the gradual depletion of fossil energy and the increasingly prominent environmental protection issues,electric vehicles have received great attention from all countries and their market penetration has been increasing.Electric vehicles have the characteristics of large power battery capacity and high charging power.When a large number of electric vehicles are disorderly charged,it is easy to appear in a specific time period and a specific place to access the grid charging behavior,resulting in imbalance of power supply and demand,line overload,reducing power quality,and threatening the safe operation of the power grid.Therefore,electric vehicle charging scheduling algorithm is one of the key issues of concern in academia and industry.There are also shortcomings in the verification of existing electric vehicle charging optimization scheduling algorithms.At present,the electric vehicle charging scheduling algorithm is mainly based on software simulation,which is too idealistic.To this end,this paper constructs a miniature model for the collaborative charging algorithm of electric vehicles under Internet of Vehicles environment,and proposes an optimal scheduling algorithm for cooperative charging of electric vehicles.The effectiveness of the proposed algorithm is verified on the constructed miniature model.The main research contents of this paper are as follows:(1)This paper constructs a wireless cooperative wireless charging miniature model system for electric vehicles.The system adopts a layered architecture,and the charging field controller controls the energy flow and information flow between each parking space and the miniature model of the electric vehicle.The electric vehicle miniature model uses wireless charging to obtain power through the parking space charging controller.On the other hand,the charging field controller uploads the collected information to the collaborative control center,and the cooperative control center formulates an optimal charging control strategy for each electric vehicle according to information such as power supply,power load,user preference,real-time electricity price,etc.It is sent to the charging field controller to control the charging behavior of the connected electric vehicle.(2)An optimal scheduling algorithm for coordinated charging of electric vehicles is proposed.The algorithm comprehensively considers the time of the electric vehicle's access to the grid,the required charge,the real-time electricity price,the grid load upper limit and other factors,and calculates the optimal charging schedule for each electric vehicle to minimize the user's charging cost.Also ensure that the total power load of the distribution transformer does not exceed its rated capacity.(3)The proposed cooperative charging algorithm was verified on the constructed micro-charge model.First,the proposed algorithm is verified by software simulation.Then,the effectiveness of the proposed algorithm is verified on the constructed micro-charge model.Moreover,the algorithm is compared with the disordered charging of electric vehicles and the optimized charging of each electric vehicle.The results show that the cooperative charging algorithm can significantly reduce the user's charging cost while ensuring that the distribution transformer is not overloaded.