Research On The Planning And Using Model Of Electric Vehicle Charging Station

With the huge consumption of oil and coal resources,the number of traditional energy sources is dwindling.On the current international situation,more and more countries attach importance to the development of new energy vehicles.Electric vehicle,as one of the new energy vehicles,due to its nearly zero-emission characteristics,has received much more attention of many countries in the world.The issue concentrates on the construction and explores the following questions:1.The algorithm of selecting the charging station’s location: When users are at home,the station should provide users with a relatively close charging station,and promise to make the full power in a short period.This paper mainly uses K-Means clustering algorithm to solve this problem.2.Recommended system based on location: With the limit of mileage,the recommended system can recommends the best charging solution with a mobile app and the end user’s current location.This paper mainly uses conjunction recommendation system combine with data analysis to improve the user experience.3.The charge pile policy based on fast charge technology: Since a charging pile takes less space,so the charging piles can be built combined with parking spaces.In this way,users can use fragmented time to recharge electric vehicles.The system is able to adjust the radio of AC and DC charging pile to meet the needs of different types of user charge and release the insufficient charging station status.Finally,with the help of one hundred of students in Shanghai Jiaotong University,we test the effectiveness of the K-Means algorithm and includes Collaborative Theory.Meanwhile,we also test the validity and correctness of the mobile side and server side.