A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimized Location of Charging Piles for New Energy Electric Vehicles
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.
Optimized Location of Charging Piles for New Energy Electric Vehicles
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.
Optimized Location of Charging Piles for New Energy Electric Vehicles
J. Highway Transp. Res. Dev. (English Ed.)
Yi, Xiao-shi (author) / Qi, Bao-chuan (author) / Yi, Zheng-jun (author)
2022-09-01
Article (Journal)
Electronic Resource
English
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