会议专题

Case-Based Retrieval of Combined Weighted Nearest Neighbor Algorithm Method for the Electric Vehicle Charging Navigation

  In recent years,the excessive use of fossil energy has become a global concern.The development of electric vehicles will help improve the energy structure and build a resource conserving and environment-friendly society.Compared with traditional fuel vehicles,electric vehicles have the problems of longer charging time and shorter endurance mileage.Therefore,the research of charging navigation scheme is of great significance to promote the development of electric vehicle.In this paper,a case retrieval method of electric vehicle charging navigation is described.In order to overcome the shortcomings of single subjective method or objective method,a combined weighting method based on AHP and entropy method is proposed,and the combined weighted nearest neighbor algorithm method method based on combined weighting is tested.The results show that the method has better identification.

Development of Electric Vehicles Improving Energy Structure and Building Resource-saving Type

Jinbing Ha Yanfei Zhou Yunping Yu

Department of Information Management,Nanjing University of Science & Technology,Nanjing 210094,China

国际会议

2019 4th International Conference on Automatic Control and Mechatronic Engineering (ACME 2019) 2019年第四届自动控制与机电工程国际会议(ACME 2019)

重庆

英文

157-161

2019-05-30(万方平台首次上网日期,不代表论文的发表时间)