| 955 | 6 | 125 |
| 下载次数 | 被引频次 | 阅读次数 |
为了缓解纯电动汽车用户出行焦虑，提出一种考虑交通动态性及速度时变性的路径规划方法。根据道路节点位置、海拔高度、充电桩位置等信息建立沈阳市20 km×20 km区域道路拓扑结构，基于车辆充电需求、行驶距离、行驶时间、行驶能耗、附件能耗建立纯电动汽车多目标路径函数，采用蚁群算法开展路径规划。仿真结果表明，本文提出的规划方法能够找到切合实际的目标路径。
Abstract：In order to alleviate the anxiety of battery electric vehicle users in travel, a path planning method considering traffic dynamics and time-varying speed is proposed.A 20 km×20 km regional road topology is established based on road node locations, altitude, charging pile locations, etc.A multi-objective path function for battery electric vehicles is established based on vehicle charging demand, driving distance, driving time, driving energy consumption, and accessory energy consumption, and an ant colony algorithm is used to carry out path planning.Simulation results show that with the proposed planning method a realistic target path.
[1] 张必达，闫强，张琳，等.基于实时交通信息的电动汽车充换电路径规划方法[J].吉林大学学报(工学版),2022,52(10):2333-2342.ZHANG B D,YAN Q,ZHANG L,et al.Charging and battery swapping route planning for electric vehicles based on real-time traffic information[J].Journal of Jilin University(Engineering and Technology Edition),2022,52(10):2333-2342.(in Chinese)
[2] 林歆悠，周斌豪，夏玉田.融合动态能耗与路网信息的电动汽车充电路径规划策略[J].中国机械工程，2021,32(6):705-713.LIN X Y,ZHOU B H,XIA Y T.Charging path planning strategy of electric vehicles with integrating dynamic energy consumption and network information[J].China Mechanical Engineering,2021,32(6):705-713.(in Chinese)
[3] DIJKSTRA E W.A note on two problems in connexion with graphs[J].Numerische Mathematik,1959,1(1):269-271.
[4] 严弈遥，罗禹贡，朱陶，等.融合电网和交通网信息的电动车辆最优充电路径推荐策略[J].中国电机工程学报，2015,35(2):310-318.YAN Y Y,LUO Y G,ZHU T,et al.Optimal charging route recommendation method based on transportation and distribution information[J].Proceedings of the CSEE,2015,35(2):310-318.(in Chinese)
[5] GHOSEIRI K,NADJARI B.An ant colony optimization algorithm for the bi-objective shortest path problem[J].Applied Soft Computing,2010,10(4):1237-1246.
[6] 冯智泉，黄亦翔，李杰，等.蚁群算法求电动汽车最优行驶路径与充电方案[J].机电一体化，2013,19(8):43-48.FENG Z Q,HUANG Y X,LI J,et al.Ant colony algorithm for EV path and charging optimization[J].Mechatronics,2013,19(8):43-48.(in Chinese)
[7] DING N,YANG J S,HAN Z B,et al.Electric-vehicle routing planning based on the law of electric energy consumption[J].Mathematics,2022,10(17):3099.
[8] ELGAREJ M,KHALIFA M,YOUSSFI M.Optimized path planning for electric vehicle routing and charging station navigation systems[J].International Journal of Applied Metaheuristic Computing,2020,11(3):58-78.
[9] 胡林，周登辉，黄晶，等.考虑信号灯和能耗的电动车最优路径规划[J].汽车工程，2021,43(5):641-649,666.HU L,ZHOU D H,HUANG J,et al.Optimal path planning for electric vehicle with consideration of traffic light and energy consumption[J].Automotive Engineering,2021,43(5):641-649,666.(in Chinese)
[10] 邢强，陈中，冷钊莹，等.基于实时交通信息的电动汽车路径规划和充电导航策略[J].中国电机工程学报，2020,40(2):534-550.XING Q,CHEN Z,LENG Z Y,et al.Route planning and charging navigation strategy for electric vehicles based on real-time traffic information[J].Proceedings of the CSEE,2020,40(2):534-550.(in Chinese)
[11] YANG S C,LI M,LIN Y,et al.Electric vehicle’s electricity consumption on a road with different slope[J].Physica A:Statistical Mechanics and Its Applications,2014,402:41-48.
[12] 路鹏伟.车路网协同下的电动汽车充电路径规划研究[D].秦皇岛：燕山大学，2021.
[13] 余志生.汽车理论[M].北京：机械工业出版社，2009.
[14] 徐丹，苏林，兰娇，等.电动汽车空调负荷特性研究[J].农业装备与车辆工程，2019,57(8):74-77.XU D,SU L,LAN J,et al.A study on load characteristics of EVs[J].Agricultural Equipment & Vehicle Engineering,2019,57(8):74-77.(in Chinese)
[15] 张辉，徐玮，王朝辉.计及行驶工况的多目标纯电动汽车路径规划[J].机械设计与制造，2023(5):83-89.ZHANG H,XU W,WANG C H.Path planning of multi-objective pure electric vehicle considering driving conditions[J].Machinery Design & Manufacture,2023(5):83-89.(in Chinese)
[16] 苏粟，杨恬恬，李玉璟，等.考虑实时动态能耗的电动汽车充电路径规划[J].电力系统自动化，2019,43(7):136-143.SU S,YANG T T,LI Y J,et al.Charging route planning for electric vehicles considering real-time dynamic energy consumption[J].Automation of Electric Power Systems,2019,43(7):136-143.(in Chinese)
[17] KOBAYASHI Y,KIYAMA N,AOSHIMA H,et al.A route search method for electric vehicles in consideration of range and locations of charging stations[C]//2011 IEEE Intelligent Vehicles Symposium(IV).Baden-Baden,Germany:IEEE,2011:920-925.
基本信息:
DOI：
中图分类号:TP18;U491;U469.72
引用信息:
[1]李佳燕,方存光,槐崇飞.基于蚁群算法的纯电动汽车路径规划研究[J].沈阳理工大学学报,2024,43(01):28-35.
基金信息:
辽宁省博士科研启动基金计划项目(2021-BS-164)