International Journal of New Developments in Engineering and Society, 2023, 7(4); doi: 10.25236/IJNDES.2023.070407.
Longbao Xiang1, Jianan Zhao1, Li Yang2
1College of Science, China Three Gorges University, Yichang, China
2College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, China
With the rise of electric material vehicles, transportation enterprises pay more and more attention to the location of battery swapping stations, the number of vehicles and battery packs. This paper analyzes the two cases of maximum material quantity and minimum cost. By establishing a mathematical programming model, the optimal scheduling scheme of station construction and battery pack is obtained under the conditions of maximum material quantity and minimum cost. In this study, by analyzing the known data, it is obtained that when the vehicle is fully loaded, the vehicle returns to the battery swapping station three times, and the remaining power is just 10 %. After analysis and comparison, the vehicle chooses to change the battery each time when the battery swapping station needs to change the battery to save time to meet the requirements of maximizing the amount of material transported. The battery pack is charged as a cycle. Firstly, the 1260 units of material, vehicles and battery packs transported in a cycle are analyzed, and then the maximum value of material transported within 240 hours is 274690 units by establishing a goal programming model. The station is located at station A, and the number of electric material vehicles and battery packs used is 47 and 534 respectively.
Electric material vehicle; Battery pack; Goal programming model; Optimal scheduling scheme
Longbao Xiang, Jianan Zhao, Li Yang. Research on site selection and vehicle scheduling of electric material vehicle swapping station. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 4: 37-44. https://doi.org/10.25236/IJNDES.2023.070407.
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