王青元
电气工程学院
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期刊论文:
1.Rao Y, Sun P F, Wang Q Y*, et al. Optimal running time supplement for the energy-efficient train control considering the section running time constraint[J]. IET Intelligent Transport Systems, 2022, 16, 661-674.
2.Rao Y, Feng X Y, Wang Q Y*, et al. Energy-efficient control of a train considering multi-trains power flow[J]. IET Intelligent Transport Systems, 2022, 16, 380-393.
3.Rao Y, Sun P F, Wang Q Y*, et al. Energy-efficient train control considering the traction system efficiency[J]. IET Intelligent Transport Systems, 2022, 1-15.
4.Xiao Z, Wang Q Y*, Sun P F, et al. Real-time energy-efficient driver advisory system for high-speed trains, IEEE Transactions on Transportation Electrification, 2021, 7(4): 3163-3172. SCI
5.Xiao Z, Chen H H, Guo J S, Wang Q Y*, Sun P F. Joint Optimization of Speed and Voltage Trajectories for Hybrid Electric Trams[J]. IEEE Transactions on Industry Applications, 2021, 57(6): 6427-6439.
6.Xiao Z, Wang Q Y*, Sun P F, et al. Modeling and Energy-Optimal Control for High-Speed Trains, IEEE Transactions on Transportation Electrification, 2020, 6(2): 797-807. SCI
7.Xiao Z, Feng X Y, Wang Q Y*, et al. Eco-driving control for hybrid electric trams on a signalized route[J]. IET Intelligent Transport Systems. 2020, 14(1): 36-44. SCI
8.Xiao Z, Sun P F, Wang Q Y*, Zhu Y Q, Feng X Y. Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route[J]. Energies, 11(3): 1-21.
9.Tang H Y, Wang Q Y*, Feng X Y. Robust Stochastic Control for High-Speed Trains with Nonlinearity, Parametric Uncertainty, and Multiple Time-Varing Delays[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(4): 1027-1037. SCI
10.Lin X, Wang Q Y*, Wang Q Y, Sun P F, Feng X Y. The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections[J]. Energies, 10(6): 1-26. SCI
11.Wang P L, Ma L, Goverde R, Wang Q Y. Rescheduling trains using petri nets and heuristic search[J]. IEEE Transactions on Intelligent Transportation Systems, 2015:1-10. SCI
12.王青元, 冯晓云. 列车准点节能运行的控制工况最优切换研究[J]. 中国铁道科学,2016, 37(2):91-98. EI
13.王青元, 冯晓云, 朱金陵, 等. 考虑再生制动能量利用的高速列车节能最优控制仿真研究[J]. 中国铁道科学, 2015, 36(1): 96-103. EI
14.王青元, 吴鹏, 冯晓云, 等. 基于自适应终端滑模控制的城轨列车精确停车算法[J]. 铁道学报, 2016, 38(2): 56-63. EI
15.林轩, 王青元*, 葛学超, 等. 长大下坡区间货运列车周期性制动研究[J]. 铁道学报, 2017, 52(05): 859-868. EI
16.林轩,王青元,刘强强,冯晓云.HXD2牵引货运列车长大下坡区间周期性制动研究[J].西南交通大学学报,2017,52(05):859-868. EI
17.Wu P, Wang Q Y, Feng X Y. Automatic train operation based on adaptive terminal sliding mode control[J]. International Journal of Automation & Computing, 2015, 12(2):142-148. EI
18.梁志成, 王青元, 何坤, 等. 基于极大值原理的电动车组节能操纵[J]. 铁道学报, 2015, 37(10): 16-25. EI
19.王鹏玲, 马磊, 王青元, 等. 基于Petri网列车群模型的列车运行冲突分析[J]. 铁道学报, 2015, 37(3): 1-7. EI
20.唐海川, 王青元, 冯晓云. 地铁列车追踪运行的节能控制与分析[J]. 铁道学报, 2015, 37(1): 37-43. EI
21.王鹏玲, 王青元, 崔恒斌, 等. 考虑列车追踪的自动驾驶控制算法[J]. 西南交通大学学报, 2013, 48(6): 1045-1051. EI
22.唐海川, 朱金陵, 王青元, 等. 一种可在线调整的列车正点运行节能操纵控制算法[J]. 中国铁道科学, 2013, 34(4): 89-94. EI
23.崔恒斌, 冯晓云, 王青元, 等.制动利用率对高速列车节能操纵策略的影响[J]. 铁道学报, 2012, 34(8): 13-19. EI
24.葛学超, 王青元, 孙鹏飞, 刘强强. 货运列车节能平稳运行优化操纵研究[J]. 铁道机车车辆, 2017, 37(04)： 47-52.
25.葛学超,王青元,孙鹏飞,刘强强.货运列车节能平稳运行优化操纵研究[J].铁道机车车辆,2017,37(04):47-52.
26.张彦栋,王青元,刘强强,纪云霞,徐茂峻.自动驾驶系统运行模式曲线最优预见跟踪控制算法[J].计算机应用,2017,37(S2):266-269+305.
27.纪云霞,孙鹏飞,毛畅海,王青元.基于改进遗传算法的列车运行曲线优化[J].计算机与现代化,2018(08):1-7.
28.侯黎明,孙鹏飞,聂英杰,王青元.高速铁路追踪间隔分析与优化设计研究[J].铁道运输与经济,2018,40(06):5-11.
29.林轩,王青元,刘强强,葛学超,冯晓云.长大下坡区间货运列车周期性制动研究[J].铁道学报,2019,41(01):50-58.
30.刘强强,肖壮,朱宇清,王青元.铁路交流供电货运列车节能优化控制研究[J].计算机仿真,2019,36(01):150-156+335.
31.李坤阳,陈鸿辉,郭金松,王青元.基于滑模自抗扰的高速列车自动驾驶算法研究[J].现代计算机,2019(15):25-31.
32.朱宇清,白宝雪,陈鸿辉,陈南匡,王青元.基于神经网络的货运列车速度曲线实时规划算法[J].控制与信息技术,2019(03):7-12.
33.曲健伟,王青元,孙鹏飞.基于极大值原理的地铁列车节能驾驶简化算法[J].铁道科学与工程学报,2019,16(06):1577-1586.
34.哈大雷,韩伟,郭金松,肖壮,王青元.一种考虑能量管理的混合动力列车节能运行综合优化方法[J].机车电传动,2019(04):84-88+92.
35.曲健伟,冯晓云,王青元,孙鹏飞.考虑冲击限制和响应下列车参考速度仿真模型[J].哈尔滨工业大学学报,2019,51(09):125-129.
36.金波,孙鹏飞,王青元,冯晓云.基于混合整数规划的高速列车多区间节能优化研究[J].铁道学报,2020,42(02):11-17.
37.柴杨,刘成,孙鹏飞,王青元.城际列车多区间节能运行优化方法研究[J].计算机仿真,2020,37(03):106-111.
会议论文:
1.Wang Q Y, Geng C, Feng X Y. On optimal switches for energy efficient control of a train considering regenerative braking[C]. IEEE 18th International Conference on Intelligent Transportation Systems, 2015: 1810-1816. EI
2.Wang Q Y, Zhu J L. Analysis and simulation of energy-efficient control of a train[C]. Chinese Control Conference, 2014: 3373-3380. EI
3.Wang Q Y, Wu P, Liang Z C, Feng X Y. The hierarchical real-time control of high speed trains for automatic train operation[C]. Computers in Railways XIV, 2014, 135:17-36. EI
4.Lin X,Ge X C,Liu Q Q,Wang Q Y. On the Periodic Braking of Freight Trains on the Long Steep Downhill[C].Chinese Control Conference,2016. EI
5.Tang H C, Wang Q Y, Dick C T, et al. A model for optimal selection of projects to improve running time and operating cost efficiency on passenger rail corridors. Transportation Research Board 95th Annual Meeting. 2016, 2: 33-44. EI
6.Tang H C, Wang Q Y, Dick C T. Optimizing train speed profiles to improve regeneration efficiency of transit operations[C]. Joint Rail Conference. 2014:V001T07A004-V001T07A004. EI
7.Tang H Y, Ge X C, Liu Q Q, Wang Q Y. Robust H-infinity control of high-speed trains with parameter uncertainties and unpredictable time-varying delays[C]. Chinese Control Conference,2016. EI
8.Xu M J,Liu Q Q,Mao C H,Wang Q Y. Sun P F.Energy-efficient Control of Energy Storage Tram with Signaling Constraints[C].Chinese Control Conference,2018. EI
9.Xiao Z,Chen M,Chai Y,Liu C,Wang Q Y. Energy-efficient Operation of High-speed Trains Based on a Multiple Phases Mode[C].Chinese Control Conference,2018. EI
10.Jin B,Sun P F,Xu M J,Wang Q Y. Train Timetable and Trajectory Optimization Using Improved State-space MILP[C].Chinese Control Conference,2018. EI