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Optimized Location of Charging Piles for New Energy Electric Vehicles

Xiaoshi Yi1( )Baochuan Qi2Zhengjun Yi3
College of Mathematics and Statistics, Yili Normal University, Yining Xinjiang 835000, China
Key Laboratory of Pollutant Chemistry and Environmental Treatment, Yili Normal University, Yining Xinjiang 835000, China
College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China
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Abstract

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 of searching the zero point of profit function by dichotomy. This provides a data-based decision-making 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.

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Journal of Highway and Transportation Research and Development (English Edition)
Pages 103-110

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Cite this article:
Yi X, Qi B, Yi Z. Optimized Location of Charging Piles for New Energy Electric Vehicles. Journal of Highway and Transportation Research and Development (English Edition), 2022, 16(3): 103-110. https://doi.org/10.1061/JHTRCQ.0000838

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Received: 18 November 2022
Published: 01 September 2022
© The Editorial Office of Journal of Highway and Transportation Research and Development (English Edition)