Optimized Location of Charging Piles for New Energy Electric Vehicles
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Date
2022/09/01Author
Xiao-shi Yi
Bao-chuan Qi
Zheng-jun Yi
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This paper constructs a profit function based on statistical data for each charging pile and takes the shortest payback period as the objective function of charging pile location optimization, thus forming a charging pile location optimization model. The solution of the optimization model is transformed into the problem for searching the zero point of profit function by dichotomy. This provides data-based decision-making opportunity for investors to invest in charging piles. At the same time, it provides a convenient service environment for electric vehicle users, improves the competitiveness of new energy electric vehicles, speeds up fuel substitution, reduces exhaust emissions of fuel vehicles, and prevents air pollution.