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| Optimized Location of Charging Piles for New Energy Electric Vehicles |
| YI Xiao-shi1, QI Bao-chuan2, YI Zheng-jun3 |
1. College of Mathematics and Statistics, Yili Normal University, Yining Xinjiang 835000, China;
2. Key Laboratory of Pollutant Chemistry and Environmental Treatment, Yili Normal University, Yining Xinjiang 835000, China;
3. 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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Received: 18 November 2022
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| Fund:Supported by the University Scientific Research Project of Xinjiang Uygur Autonomous Region (No.XHEDU2021Y045) |
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2022, Vol. 16 
