Abstract
In order to facilitate users to switch batteries, starting from the trajectory of electric vehicles, rationally arrange the location of electric vehicle switch stations. First, determine the service radius of the swap station from the consideration of the driver's driving preference, the service target of the swap station and the cruising range of electric vehicles; secondly, use the grid method to divide the Jinjiang District into 42 sub-regions. Through the analysis of massive driving data, combined with power exchange demand and median center theory, the candidate site for the power exchange station in Jinjiang District was initially selected. Finally, the location allocation model is used to select the distribution of the replacement stations when the number of stations is the smallest and the coverage is the largest, and sensitivity analysis is carried out. The conclusion shows that: when the service radius is 3.03km, 12 substations can meet 93.21% of the points.
Highlights
Electric vehicles replace traditional fossil energy drives with electric drives, which is one of the effective ways to reduce fossil energy consumption, alleviate environmental pollution, and achieve carbon peaking and carbon neutrality
Research on the feasibility analysis of the site selection and construction of power swapping service facilities is rare, especially research on the site selection and construction of electric vehicle swap stations based on massive driving trajectories remains to be done
Under the premise of fully considering the integrity and time continuity of the data, this paper uses the trajectory of 2000 taxis in Jinjiang District during the period from August 24 to August 30 to simulate the trajectory of electric vehicles
Summary
Electric vehicles replace traditional fossil energy drives with electric drives, which is one of the effective ways to reduce fossil energy consumption, alleviate environmental pollution, and achieve carbon peaking and carbon neutrality. In order to solve the problem of selecting the location of power exchange facilities, many scholars have conducted research from different angles. P-median, P-center, and coverage are the main research contents of facility site selection, but today's site selection research is biased toward reality. Mahor[1] and Liu[2] regard the demand for power exchange as the basis for selecting the location of the power station. The research of related scholars is biased towards practical problems, and most of them start with many factors that affect the site selection of power swapping stations. Research on the feasibility analysis of the site selection and construction of power swapping service facilities is rare, especially research on the site selection and construction of electric vehicle swap stations based on massive driving trajectories remains to be done
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