Transactions of Nanjing University of Aeronautics & Astronautics
Location of Electric Vehicle Charging Station Based on Spatial Clustering and Multi-hierarchical Fuzzy Evaluation
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Abstract:
For the charging station construction of electric vehicle, location selecting is a key issue. There are two problems in location selection of the electric vehicle charging station. One is determining the location of charging station; the other is evaluating the location of charging station. To determine the charging station location, an spatial clustering algorithm is proposed and programmed. The example simulation shows the effectiveness of the spatial clustering algorithm. To evaluate the charging station location, a multi-hierarchical fuzzy method is proposed. Based on the location factors of electric vehicle charging station, the hierarchical evaluation structure of electric vehicle charging station location is constructed, including three levels, 4 first-class factors and 14 second-class factors. The fuzzy multi-hierarchical evaluation model and algorithm are built. The analysis results show that the multi-hierarchical fuzzy method can reasonably complete the electric vehicle charging station location evaluation.
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This work was supported by the National Natural Science Foundation of China (No.51575047).
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