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

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DOI: 10.23977/amce.2019.023


Jinbing Ha, Yanfei Zhou, and Yunping Yu

Corresponding Author

Yanfei Zhou


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

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