Research On Location Planning Of Electric Vehicle Swap Station Based On Actual Data

In the context of "carbon neutrality" and "carbon peak",countries are pursuing economic development while raising their expectations for energy conservation and emission reduction to new heights.Therefore,all countries will invest in a green economy,hoping to achieve the dual goals of economic development and environmental protection.In the transportation field,with the development of the economy,people’s living standards have recovered and improved,and more and more people have chosen cars as a means of travel.However,automobile exhaust contains a variety of substances harmful to the air,which causes a certain degree of pollution to the environment,and the increase in the number of automobiles has led to a deepening of the degree of environmental pollution.In order to prevent further pollution of the environment caused by automobile exhaust,the world calls for green travel.Electric vehicles replace gasoline with electricity and do not produce exhaust gas,which is an effective measure to reduce traffic carbon emissions.However,the development of the electric vehicle industry is constrained due to the unpopularity of supporting infrastructure.This article takes the taxi GPS driving trajectory(about 0.6GB data)in Jinjiang District of Chengdu as the research object,and discusses the location planning of electric vehicle swap station.First,through the analysis of a large amount of driving data,the potential customer requests are extracted from the effective records.Secondly,considering the user’s charging preferences,the cruising range of different models,and the existing station building standards,determine the service radius of the station.Thirdly,combined with the central place theory,the sample area is divided by a hexagonal network,and at the same time,based on the value of the service radius,the location allocation model in ArcGIS is used to preliminarily determine the site selection and the service range of the battery swap station.After that,reducing the number of stations and increasing the matching rate of customer requests were taken as the optimization goals of site selection,and the rationality of the final site selection was verified from three aspects: the location of the site,the convenience of transportation and the accessibility of customers.Finally,the M/M/s mixed system model in queuing theory is adopted to study the situation where the space of the queuing system is limited,and the optimal number of battery swap positions should be configured for each station to avoid the phenomenon of mismatch between demand and resources.Based on the above analysis,this article draws the conclusion: 10 battery swap stations with a service radius of 3km can match99.42% of the demand points.The innovations of this article are: First,the use of central location theory,by setting up centers of different levels and using them as alternative sites for stations,can fully cover the entire sample area and match as many customer requests as possible.Second,when studying the capacity of the battery swap station,this article considers not the capacity of the battery,but the capacity of the potential exchange.An appropriate number of battery replacement positions can reduce the waiting time of users,reduce the loss rate of users,and improve user satisfaction.