Recommendation Method of Idle Charging Piles for EV Based on Collaborative Filtering
In recent years,electric vehicles are vigorously promoted by the government,and the penetration rate is getting high-er.However,it is difficult for users to find charging piles and charging navigation when there is a demand for charging.There-fore,combined with the operation data of the charging station,this paper uses the deep belief network(DBN)algorithm to pre-dict the number of vehicles arriving at the charging station,and combined with the user's historical charging data,uses the col-laborative filtering algorithm to recommend idle charging piles for users.User preference,driving distance and waiting time are comprehensively considered to provide users with charging navigation services.Several example systems are tested,and the re-sults verify the effectiveness of the proposed method in saving time,reducing the idle rate of charging piles and the queuing rate of electric vehicles.
万方数据
维普
