| In recent years,urban traffic congestion has continued to increase,and the energy consumption and emissions of the transportation system have been rising.Under the influence of the "emission peak,carbon neutrality" strategy,giving priority to the development of low-carbon and green public transportation systems has become the only way for high-quality urban development.Driven by various policies,electric buses have become the largest bus type in cities.However,electric buses have problems such as short driving range and long charging time,which have a great impact on bus scheduling and hinder the development of electric buses.Therefore,This paper proposes a wireless charging method to solve this problem,which has a positive effect on promoting the electrification of buses.Wireless charging enables electric buses to be charged during the holding time and running time,which greatly improves the convenience and safety of charging,relieving the impact of bus electrification on vehicle scheduling.This paper takes electric bus route with dedicated bus lanes as the research object.according to the characteristics of static wireless charging and dynamic wireless charging,two kinds of wireless charging facility layout optimization models are established to optimize the layout location of wireless charging facilities.Sensitivity analysis is carried out.Firstly,this paper introduces the existing charging modes of electric buses,and the specific operation process,corresponding advantages and disadvantages and applicable conditions of different charging modes are summarized.Secondly,in terms of low-frequency bus lines,the location of time control points and the location of static wireless charging piles are used as optimization variables,a static wireless charging pile layout optimization model is established,minimizing the total deployment cost of static wireless charging piles,increasing the passenger travel cost,and maximizing the effective utilization rate of the site as optimization goal.The model is solved by using sparrow search optimization algorithm embedded in stochastic simulation technology.To prove the validity of the model,case study with actual bus routes is carried out.Sensitivity analysis of influencing factors such as vehicle battery capacity and charging power is analyzed,and the results show that when the battery capacity or static wireless charging power increases to a certain value,the number of time control points will decrease,and the total deployment cost,the increase in the total passenger travel time cost,and the overall effective utilization rate of the site are also on a downward trend.Considering that some bus routes have the characteristics of high frequency,long bus line and large power consumption,a single static wireless charging pile layout cannot meet the power demand of line operation.Taking the total layout cost of the dynamic wireless charging board as the optimal objective,an optimization model for the layout of the dynamic wireless charging board is established,and then the particle swarm algorithm embedded with random simulation technology is used to solve the model.Sensitivity analysis is carried out for parameters such as wireless charging power.The sensitivity analysis of battery capacity,wireless charging power and the unit price of dynamic wireless charging board is carried out.The results show that when the unit price of the dynamic wireless charging board increases,the total deployment cost also rises;with the increase of battery capacity or wireless charging power,the layout cost reduces,and the decline rate of the total layout cost decreases. |