Demand-Based Network Optimization Layout For Electric Vehicle Charging Stations

The traditional fuel vehicle has a large consumption of energy and many kinds of pollutants,which not only has caused great pressure to the environment but also is contrary to the concept of sustainable development of our country.Electric vehicles use the concept of "replace oil with electricity",which accords with the development goal of environment-friendly society.In this paper,the electric vehicle demand forecasting model is established by fuzzy means,First we obtain the total demand of urban households to purchase electric vehicles.Then we use the maximum coverage model to obtain the candidate set for site selection of charging stations to be built.On this basis,we establish a multi-objective optimization model to optimize the candidate schemes.The details are as follows:The first chapter: First we introduce the main characteristics of electric vehicles and charging piles in the market at present.Second we analyze the current research situation in various countries.Third we analyze the difference between the foreign research and the actual situation in our country.And we point out the existing problems.Finally we get the research direction of this paper.The second chapter: We introduce the related concepts of traffic and electric vehicle,which provides a theoretical basis for the follow-up chapters.The third chapter: First of all,according to the factors such as the convenience of charging,the time it takes to charge,the mileage of life,the price of electric vehicle,the replacement cost after battery service life is finished,we establish the mathematical model by means of fuzzy means to obtain the growth of future urban electric vehicles,which further obtain the future demand of urban electric vehicles.Secondly,according to the relationship among residence,commuting destination and charging station location,from the perspective of commuter travel of urban residents using electric vehicles,based on the sustainable mileage of electric vehicles within the allowed range of charge state alert,Taking the minimum recharge station covering the most demand point as the criterion,by means of optimization,we establish the charging station coverage model to obtain the area and number of charging stations.Finally,according to the minimum operating cost of charging station construction,the minimum user cost of electric vehicle users,and the minimum generalized travel cost of users,a multi-objective optimization model is established to meet the requirements of electric vehicle users,which finally determines the final charging station address.Examples show that most electric vehicle users must go to charging stations at present,and the market share of electric vehicles is still very low.With the gradual development of the market,and the governmental incremental investment in charging infrastructure,increasing the proportion of parking spaces in residential areas and working areas with charging piles,so more and more residents will buy electric cars;The location of urban charging stations is affected not only by the number of people purchased and their demand for charging,but also by the location of their residence and destination and the proportion of parking spaces equipped with charging piles.In order to promote the healthy development of electric vehicles,it is necessary not only to build a certain scale charging station,but also to perfect the charging infrastructure to increase the innovation of charging technology and the investment in R&D of battery mileage.The fourth chapter: We summarize the main work and innovation of the paper,and we synchronously give the need for improvement in the paper in order to point out the direction for future work.