Optimized Location of Charging Piles for New Energy Electric Vehicles
易校石1, 祁宝川2, 易正俊3
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
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
摘要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.
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.
基金资助:Supported by the University Scientific Research Project of Xinjiang Uygur Autonomous Region (No.XHEDU2021Y045)
通讯作者:
YI Xiao-shi
引用本文:
易校石, 祁宝川, 易正俊. Optimized Location of Charging Piles for New Energy Electric Vehicles[J]. Journal of Highway and Transportation Research and Development, 2022, 16(3): 103-110.
YI Xiao-shi, QI Bao-chuan, YI Zheng-jun. Optimized Location of Charging Piles for New Energy Electric Vehicles. Journal of Highway and Transportation Research and Development, 2022, 16(3): 103-110.
[1] LI Xiao-juan, LIU Jing-xin, HUO Yue-ying, et al. A Route Optimization Method for Shared Pure Electric Vehicle Based on Power Loss Prediction[J]. Journal of Highway and Transportation Research and Development, 2021, 38(4):103-111.
[2] BI Jun, WANG Yong-xing, ZHAO Xiao-mei, et al. An Optimization Model for Electric Vehicles Charging Assignment Considering Charging Station Benefits[J]. Journal of Highway and Transportation Research and Development, 2018, 35(3):117-125.
[3] XI Li-he, ZHANG Xin, WU Jian-zheng, et al. Study on Energy Management Strategy for Extended-range Electric Vehicle Based on Dynamic Programming and Neural Network[J]. Journal of Highway and Transportation Research and Development, 2018, 35(9):128-136.
[4] QI Lin, YAO Jian, WANG Xin-yue. Optimizing Layout of Electric Vehicle Charging Station Based on Improved Particle Swarm Optimization Algorithm[J]. Journal of Highway and Transportation Research and Development, 2017, 34(6):136-143.
[5] YU Quan, JIANG Tian-xia, RONG Jian. Research on Stress Test of Road Network Capacity Based on Hill-climbing and Dichotomy[J]. Journal of Highway and Transportation Research and Development, 2011, 28(2):111-115, 126.
[6] ZHANG Wei-hua, WANG Wei, HU Gang. Strategies on Urban Development Based on Low Energy Consumption of Traffic[J]. Journal of Highwayand Transportation Research and Development, 2003, 20(1):80-84.
[7] LI Peng-cheng, YANG Jing, ZHANG Jun-wei, et al. Design of Optimized Location Model for Electric Vehicle Charging Pilem[J]. Electric Engineering, 2018(21):47-50.
[8] ZHAO Shu-qiang, LI Zhi-wei. Optimal Planning of Charging Station for Electric Vehicle Based on PSODE Algorithm[J]. Journal of North China Electric Power University, 2015, 42(2):1-7.
[9] LIANG Hui, YANG Chao, YU Shao-zheng, et al. Research on Electric Vehicle Siting of Charging Stations and Configuration of Charging Pile Based on Simulation Optimization Method[J]. Computer Simulation, 2017, 34(8):168-172.
[10] DONG Jie-shuang, DONG Zhi-jie. Flow-refueling Models for Locating Alternative-fuel Stations with Consideration of Construction Cost[J]. Forest Engineering, 2014, 30(6):104-108.
[11] GAO Jian-shu, WANG Ming-qiang, SONG Zhao-kang, et al. Study on Site Selection of Airport Charging Pile Based on Genetic Algorithm[J]. Computer Engineering and Applications, 2018, 54(23):210-216.
[12] XU Fan, YU Guo-qin, GU Linfeng, et al. Tentative Analysis of Layout of Electrical Vehicle Charging Station[J]. East China Electric Power, 2009, 37(10):1678-1682.
[13] LI Ling, LI Yan-qing, YAO Yu-hai et al. Layout Planning of Electric Vehicle Charging Stations Based on Genetic Algorithm[J]. East China Electric Power, 2011, 39(6):1004-1006.
[14] LIU Qiang, WANG Chun-li. Electric Power Service of Electric Automobile Based on Market Environment[J]. Power Demand Side Management, 2007, 9(1):45-47.
[15] YAO Jian-xin, WANG Mei, LUO Wei-ming. Construction and Application of Charging Systems for Electric Mobiles[J]. East China Electric Power, 2008, 36(8):107-110.
[16] WANG Heng-song, HUANG Qi-kun, ZHANG Changhua, et al. A Novel Approach for the Layout of Electric Vehicle Charging Station[C]. The 2010 International Conference on Apperceiving Computing and Intelligence Analysis Proceeding, New York, IEEE, 2011:64-70.
[17] ZHANG Fei-fei, MA Qun, HUANG Jia-qing, et al. Dichotomy for Solving Nonlinear Equations[J]. Science and Technology Innovation Herald, 2009(24):150-151.
[18] YUAN Xing-hua. The Proof of Zero Point Theorem[J]. Journal of Science of Teachers' College and University, 2018, 38(7):12-13.
2022, Vol. 16 
