Study On Location Selection Of Urbabn Electric Vehicle Charging Station

Developing and promoting electric vehicles is a major strategic decision for China’s traffic development.The implementation of this major decision needs to solve multiple areas of technical problems.One of the issues that needs to be solved urgently is unreasonable layout of charging facilities.In recent years,China and other countries explore the electric vehicle function and charging facility construction.Charging facilities should adapt to the development of electric vehicles in Huangdao area in terms of quantity and scale,not only meet future charging needs,but also can achieve the goal of optimal charging and operating costs.There are two types of charging facilities that are suitable for Qingdao:scattered charging piles and centralized charging stations.This article provides a plan for the layout of charging stations in Huangdao District.Firstly,we established a charging demand forecast model,established a constant volume model for the location of charging stations,Finally,take Huangdao District as the research object.Verify the validity of the model.Charge demand forecast.Accurately grasping the charging demand of electric vehicles in the planning area is a prerequisite for the reasonable layout of charging facilities.Electric vehicles are in the early stages of development.Historical data for research material and relevant research cases for reference are rare.The development of electric vehicles is closely related to traditional fuel vehicles,based on this,building car ownership forecast model of double-exponential smoothing.Charge demand forecasting steps are as follows:(1)Selecting GDP per capita,road network density,per capita disposable income,number of resident population,urbanization rate,consumer retail sales as independent variables and build the car ownership forecast model of multiple linear regression prediction.(2)Based on this,establish a car ownership combination forecast model and the weights are determined by variation coefficient method.According to the combined forecast model results,get the largest market potential of electric vehicles,create market predictive model of electric vehicle.(3)Based on Bass model,and get the electric vehicle ownership.(4)Based on Voronoi,obtain electric vehicle distribution prediction model,finish charging demand distribution forecast.Construction of a charging station location model.The constituency aims to minimize the total social charging cost.In order to meet the charging requirements of the planning area and adapt to the construction conditions as a constraint.(1)The total cost of social charging includes:Charging station construction operating costs and user charging costs.Charging station construction operating costs include:Land costs,construction costs and operating costs;User charging costs include:Detouring costs and waiting costs.(2)About building constraints,Satisfy the charging needs to take into account the regional charging demand,some of the electric car has a problem of unreachable charging.Constraints of construction conditions include many constraints such as site occupancy requirements,environmental impacts,and matching of peer conditions within the charging field.(3)The solution set of the optimization model is a discrete solution.The determination of the feasible region is manually screened on the map,and then the genetic algorithm is used to solve.The example shows that the processing method is effective.Using the above method to determine the site selection plan for Huangdao District charging station.Based on actual data in the area,confirm road network non-linear coefficient,charging station service radius,user travel time value,operating cost conversion factor and other model parameters.Get Huangdao District charging station layout plan.The model can be applied to the layout planning of other similar city charging stations,model parameters and restrictions need to be revised according to the specific circumstances of the planning area.