| In recent years,electric vehicles have been promoted rapidly.However,due to the generally low capacity of vehicle battery and the lack of supporting charging facilities,the electric vehicle owners usually face the problem of mileage anxiety.With increasing research on dynamic wireless charging technology,this problem is expected to be alleviated.The wireless charging facilities are attached to urban roads,which may have a great impact on the road network and power grid.At present,there are a few research on wireless charging,and there is no suitable wireless charging model in urban areas.Regional energy supply-demand balance and vehicle operability issues remain unresolved.Meanwhile,the problems of load stability and driving experience caused by disordered wireless charging of vehicles still need to be studied.Therefore,this article provides solutions for vehicle endurance optimization from the perspective of the construction and use of wireless charging lanes in urban areas through analysis of urban traffic data processing,wireless charging facility construction planning and vehicle charging scheduling:First,in order to optimize the construction planning of wireless charging lanes in urban areas,this article focuses on the realization of regional energy supply and demand balance and vehicle operability at a lower construction cost.This article cleans and processes some of Shanghai’s traffic data,and explores the characteristics of regional energy demand by analyzing the average daily vehicle trajectory.Considering the influence of traffic intersection on the dynamic charging situation,the wireless charging power supply model in urban area is established.Nevertheless,this paper constructs a mixed integer nonlinear optimization problem about the balance of cost and regional energy supply and demand,and proposes the vehicle charge-consumption ratio constraint to improve the vehicle regional endurance.The optimization algorithm based on benders decomposition is designed to solve the optimal construction scheme.Compared with the Max Flow method,the proposed method in this paper achieves a higher supply-demand balance and vehicle endurance effect.Secondly,in the day-ahead electricity market,considering the revenue of wireless charging lane caused by the deviation between actual electricity sales and pre-purchased electricity,as well as endurance and traveling experience of electric vehicles,this paper proposes an electric vehicle charging scheduling algorithm based on the two-layer game model.In lower level,the potential game is used to model the multi vehicle game of electric vehicle charging scheduling.A shortest path algorithm based on the three-way greedy strategy is designed to solve in dynamic charging lane sequence problem in vehicle routing,and the improved particle swarm optimization algorithm are used to solve the variable ordered potential game.In the upper layer,the reverse Stackelberg game is adopted to harmonize the cost of wireless charging lanes and electric vehicles.As the leader,wireless charging lanes stimulate electric vehicles to carry out reasonable charing action by electricity price regulation.As the follower,electric car makes the best charging decision for a given electricity price.An iteration algorithm is designed to ensure the Nash equilibrium convergence of this game.The simulation results show that the twolayer game model proposed in this paper can effectively suppress the deviation between the actual electricity sales and the pre-sale of the charging lane caused by the disorderly charging behavior of the vehicle,and ensure the high endurance and traveling experience of electric vehicles.This article optimizes vehicle endurance experience by modeling wireless charging in urban areas,designing facilities construction scheme and scheduling electric vehicle charging,and provides technical support for the development of traffic dispatching optimization in the urban wireless charging scenario.Finally,this article discusses further research work. |
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