教学工作

本科课程：

■《数字逻辑设计及应用》（电气学院，大三）

■《Microprocessors and Programmable Logic》（利兹学院，大三）

研究生课程：

■《优化理论与方法》（电气学院，研一）

指导学生竞赛获奖：

■ 2023年 第六届 中国高校智能机器人创意大赛 一等奖

■ 2023年 第一届“交越杯”大学生数学建模竞赛 二等奖 2项

■ 2022年 第一届 四川省大学生智能机器人创意大赛 二等奖

■ 2022年 第一届 四川省大学生智能机器人创意大赛 三等奖

■ 2021年 第七届 四川省“互联网+”大学生创新创业大赛 金奖

■ 2020年 第六届 四川省“互联网+”大学生创新创业大赛 银奖

■ 2020年 校级 互联网+ 大学生创新大赛 金奖

■ 2018年 第四届 四川省“互联网+”大学生创新创业大赛  银奖

■ 2017年 第三届 中国 互联网+ 大学生创新大赛铜奖

■ 2017年 第三届 四川省“互联网+”大学生创新大赛优秀指导教师奖

教改项目：

■《列车智能操控技术产业化驱动下的本科生“双创”能力培养研究》(3/5)  ,2018-2020，省级

■《新工科背景下功率半导体器件及应用    人才培养模式研究与实践》(7/9)  ,2020-2022，校级

教学成果奖：

■《服务“一带一路”重大需求，深化工程教育改革，培养铁路国际工程卓越人才》(19/20) ,2023.07，国家二等奖

■《行业引领的“双创”人才科教融合培养机制研究与实践》(3/9) ,2021.08，校级一等奖

■《新时代互联网+背景下工科大学生创新创业教育人才培养模式研究与实践》(6/9)  ,2021.08，校级一等奖

论文成果

[1] Tao Xinkun, Sun Pengfei, Xiao Zhuang, Fu Chengcheng, Feng Xiaoyun, Wang Qingyuan. Modeling and Energy-Optimal Control for Freight Trains based on Data-Driven Approaches[J]. Future Generation Computer Systems, 2024, 152: 346–360.

[2] Guo Youxing, Sun Pengfei, Wang Qingyuan, Feng Xiaoyun. Adaptive cooperative control for multiple high-speed trains with uncertainties, input saturations and state constraints[J]. Control Engineering Practice, 2024, 142: 105768.

[3] Chen Mo, Feng Xiaoyun, Guo Youxing, Tao Xinkun, Sun Pengfei, Wang Qingyuan. Optimal Cooperative Eco-driving of Multi-train with TLET Comprehensive System[J]. IEEE Transactions on Transportation Electrification, 2023: 1–1.

[4] Wang Xiaowen, Feng Xiaoyun, Sun Pengfei, Wang Qingyuan. Two-objective train operation optimization based on eco-driving and timetabling[J]. IET Intelligent Transport Systems, 2023, n/a(n/a).

[5] Guo Youxing, Sun Pengfei, Feng Xiaoyun, Yan Keqin. Adaptive fuzzy sliding mode control for high-speed train using multi-body dynamics model[J]. IET Intelligent Transport Systems, 2023, 17(2): 450–461.

[6] Rao Yu, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Taylor & Francis, 2023. The optimal solution to the energy-efficient train control in a multi-trains system–Part 2: the optimality and the uniqueness[J]. Transportmetrica A: Transport Science, 2023, 0(0): 1–29.

[7] Rao Yu, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Taylor & Francis, 2023. The optimal solution to the energy-efficient train control in a multi-trains system-part 1: the algorithm design[J]. Transportmetrica A: Transport Science, 2023, 0(0): 1–29.

[8] Yu Wei, Huang Deqing, Sun Pengfei, Wang Qingyuan. Sliding Mode Control for High-Speed Train via Event-Triggered Strategy under Energy-Limited Deception Attacks[J]. IEEE Transactions on Vehicular Technology, 2023: 1–13.

[9] Tao Xinkun, Wang Qingyuan, Chen Mo, Sun Pengfei, Feng Xiaoyun. Comprehensive optimization of energy consumption and network voltage stability of freight multi-train operation based on amMOPSO algorithm[J]. IEEE Transactions on Transportation Electrification, 2023: 1–1.

[10] Fu Chengcheng, Sun Pengfei, Zhang Jiahui, Yan Keqin, Wang Qingyuan, Feng Xiaoyun. An energy-efficient train control approach with dynamic efficiency of the traction system[J]. IET Intelligent Transport Systems, 2023, 17(6): 1182–1199.

[11] Guo Youxing, Sun Pengfei, Wang Qingyuan, Chen Mo, Wang Xiaowen, Feng Xiaoyun. Distributed fault-tolerant control for high-speed trains based on adaptive terminal sliding mode control[J]. IET Intelligent Transport Systems, 2023, 17(8): 1690–1701.

[12] Xia Fei, Li Tianxiang, Sun Pengfei. Multidisciplinary Digital Publishing Institute, 2023. An Indirect Identification Method for Train Basic Resistance Parameters[J]. Applied Sciences, 2023, 13(15): 8843.

[13] Sun Pengfei, Zhang Chuanxin, Jin Bo, Wang Qingyuan, Geng Haoran. Timetable optimization for maximization of regenerative braking energy utilization in traction network of urban rail transit[J]. Computers & Industrial Engineering, 2023, 183: 109448.

[14] Lin Xuan, Liang Zhicheng, Shen Lijuan, Zhao Fengyuan, Liu Xinyu, Sun Pengfei, Cao Taiqiang. Reinforcement learning method for the multi-objective speed trajectory optimization of a freight train[J]. Control Engineering Practice, 2023, 138: 105605.

[15] Zhang Zipei, Sun Pengfei, Wei Mi, Wang Qingyuan, Feng Xiaoyun. Trajectory Optimization for Heavy Haul Train With Pneumatic Braking via QCMIP[J]. IEEE Transactions on Intelligent Vehicles, 2023: 1–10.

[16] Xiao Zhuang, Murgovski Nikolce, Wang Pengling, Wang Qingyuan, Sun Pengfei, Feng Xiaoyun. Energy-efficient predictive control for trams incorporating disjunctive time constraints from traffic lights[J]. Transportation Research Part C: Emerging Technologies, 2023, 151: 104113.

[17] Xiao Zhuang, Murgovski Nikolce, Chen Mo, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Eco-Driving for Metro Trains: A Computationally Efficient Approach Using Convex Programming[J]. IEEE Transactions on Vehicular Technology, 2023, 72(8): 10063–10076.

[18] Huang Deqing, He Yingxiang, Yu Wei, Qin Na, Wang Qingyuan, Sun Pengfei. Spatial Adaptive Iterative Learning Tracking Control for High-Speed Trains Considering Passing Through Neutral Sections[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(10): 6157–6168.

[19] Chen Mo, Wang Qingyuan, Sun Pengfei, Feng Xiaoyun. Train Control and Schedule Integrated Optimization With Reversible Substations[J]. IEEE Transactions on Vehicular Technology, 2023, 72(2): 1586–1600.

[20] Jin Bo, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Real-time train regulation method for metro lines with substation peak power reduction[J]. Computers & Industrial Engineering, 2022, 168: 108113.

[21] Tianxiang Li, Hang Yang, Chuanru Wang, Qingyuan Wang, Pengfei Sun, Xiaoyun Feng. Parameter Identification of Train basic resistance Based on Particle Swarm Optimization[C]//2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA). , 2022: 1572–1577.

[22] Wei Mi, Pengfei Sun, Qingyuan Wang, ZiPei Zhang, Chuanru Wang, Chuanxin Zhang. Adaptive iterative learning for heavy-haul trains trajectory tracking control on long steep downhill sections[C]//2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA). , 2022: 243–249.

[23] Su Mingliang, Ning Xingliang, Zhang Zipei, Sun Pengfei, Wang Qingyuan, Bai Baoxue. Trajectory Optimization for Freight Train with Section Time Constraints Using Mixed Integer Quadratic Programming[C]//2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA). , 2022: 1545–1551.

[24] Zhang Zipei, Rao Yu, Wei Mi, Wang QingYuan, Sun Pengfei, Feng Xiaoyun. A Target Speed Adjustment Algorithm for Heavy Haul Train Trajectory Optimization with Section Time Constraint[C]//2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA). , 2022: 1557–1563.

[25] Wang Chuanru, Feng Jiahui, Cheng Junshu, Zheng Yi, Wei Mi, Wang Qingyuan, Sun Pengfei. Computation of driving profiles for high-speed trains powered by on-board energy storage systems[C]//2022 41st Chinese Control Conference (CCC). , 2022: 1723–1728.

[26] Rao Yu, Sun Pengfei, Wang Qingyuan, Bai Baoxue, Feng Xiaoyun. Optimal running time supplement for the energy‐efficient train control considering the section running time constraint[J]. IET Intelligent Transport Systems, 2022, 16(5): 661–674.

[27] Huang Deqing, Chen Yong, Meng Deyuan, Sun Pengfei. Adaptive Iterative Learning Control for High-Speed Train: A Multi-Agent Approach[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(7): 4067–4077.

[28] Yang Shunfeng, Chen Haiyu, Sun Pengfei, Wang Haiyu, Blaabjerg Frede, Wang Peng. Resilient Operation of an MMC With Communication Interruption in a Distributed Control Architecture[J]. IEEE Transactions on Power Electronics, 2021, 36(10): 12057–12069.

[29] Xiao Zhuang, Chen Honghui, Guo Jinsong, Wang Qingyuan, Sun Pengfei, Feng Xiaoyun. Joint Optimization of Speed and Voltage Trajectories for Hybrid Electric Trams[J]. IEEE Transactions on Industry Applications, 2021, 57(6): 6427–6439.

[30] Wang Song, Wang Xiongguo, Huang Jingchun, Sun Pengfei, Wang Qingyuan. Adhesion Control of High Speed Train Based on Vehicle-control System[C]//2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA). , 2021: 142–147.

[31] Jin Bo, Fang Qian, Wang Qingyuan, Sun Pengfei, Feng Xiaoyun. Energy-Efficient Train Control in Urban Rail Transit: Multi-Train Dynamic Cooperation based on Train-to-Train Communication[C]//2021 IEEE Intelligent Vehicles Symposium (IV). , 2021: 309–314.

[32] Guo Youxing, He Tong, Chen Mo, Wang Qingyuan, Sun Pengfei. Energy-Saving Operation Strategy for Subway Trains Considering Regenerative Brake Energy[C]//2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE). , 2021: 1–7.

[33] Chen Mo, Fang Qian, He Tong, Guo Youxing, Wang Qingyuan, Sun Pengfei. Integrated Optimization of Train Speed Profile and Timetable Considering the Location of Substations[C]//2021 IEEE International Intelligent Transportation Systems Conference (ITSC). , 2021: 460–465.

[34] Jin Bo, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei, Fang Qian. Train Scheduling Method to Reduce Substation Energy Consumption and Peak Power of Metro Transit Systems[J]. Transportation Research Record: Journal of the Transportation Research Board, 2021(January): 036119812097467.

[35] Chen Mo, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Cooperative Eco-driving of Multi-Train under DC Traction Network[J]. IEEE Transactions on Transportation Electrification, 2021, 7782(c): 1–17.

[36] Xiao Zhuang, Wang Qingyuan, Sun Pengfei, Zhao Zining, Rao Yu, Feng Xiaoyun. Real-Time Energy-Efficient Driver Advisory System for High-Speed Trains[J]. IEEE Transactions on Transportation Electrification, 2021, 7782(c): 1–10.

[37] Xiao Zhuang, Zhao Zining, Wang Qingyuan, Sun Pengfei, Feng Xiaoyun. Speed Trajectory Optimization for a High-Speed Train[J]. Computers in Railways XVII, 2020, 1: 261–272.

[38] Xiao Zhuang, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Eco-driving control for hybrid electric trams on a signalised route[J]. IET Intelligent Transport Systems, 2020, 14(1): 36–44.

[39] Wang Xiaowen, Xiao Zhuang, Chen Mo, Sun Pengfei, Wang Qingyuan, Feng Xiaoyun. Energy-Efficient Speed Profile Optimization and Sliding Mode Speed Tracking for Metros[J]. Energies, 2020, 13(22): 6093.

[40] Wang Song, Li Qiang, Huang Jingchun, Sun Pengfei, Wang Qingyuan. Modeling and Simulation of Straddle-type Monorail Vehicle Adhesion Control[C]//Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. , 2020: 1377–1382.

[41] Guo Jinsong, Xiao Zhuang, Fang Qian, Wang Qingyuan, Sun Pengfei. Speed tracking control with smoothing notches based on DMC algorithm for freight trains[J]. Chinese Control Conference, CCC, 2020, 2020-July: 2397–2401.

[42] Chen Mo, Sun Pengfei, Rao Yu, Chai Yang, Liu Cheng. A Collaborative Optimization Approach for Multi-Train in URT[J]. Chinese Control Conference, CCC, 2020, 2020-July: 1460–1465.

[43] Chen Honghui, Xiao Zhuang, Zhao Zining, Sun Pengfei, Wang Qingyuan. Longitudinal Speed Control Based on Fuzzy Logic Controller for Trams[J]. Chinese Control Conference, CCC, 2020, 2020-July: 2176–2181.

[44] Bai Baoxue, Xiao Zhuang, Wang Qingyuan, Sun Pengfei, Feng Xiaoyun. Multi-Objective Trajectory Optimization for Freight Trains Based on Quadratic Programming[J]. Transportation Research Record, 2020, 2674(11): 466–477.

[45] Jin Bo, Sun Pengfei, Wang Qingyuan, Feng Xiaoyun, Of J Ournal, Society Railway. Energy-saving Optimization of Multi-interstation High-speed Train with Mixed Integer Linear Programming[J]. Tiedao Xuebao/Journal of the China Railway Society, 2020, 42(2): 1–7.

[46] Chen Mo, Wang Qingyuan, Sun Pengfei, Wang Xiaowen, Fang Qian. An energy-efficient optimization method of train group trajectory for metro[J]. International Journal of Transport Development and Integration, 2020, 4(3).

[47] Jin Bo, Sun Pengfei, Wang Qingyuan, Feng Xiaoyun. Two-step method to reduce metro transit energy consumption by optimising speed profile and timetable[J]. IET Intelligent Transport Systems, 2020, 14(9).

[48] Xiao Zhuang, Wang Qingyuan, Sun Pengfei, You Bingtao, Feng Xiaoyun. Modeling and energy-optimal control for high-speed trains[J]. IEEE Transactions on Transportation Electrification, 2020.

[49] Qu Jianwei, Feng Xiaoyun, Wang Qingyuan, Sun Pengfei. Simulation model of train reference speed considering jerk limitation and response process[J]. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2019, 51(9): 0–4.

[50] Huang Deqing, Chen Yong, Meng Deyuan, Sun Pengfei. IEEE, 2019. Adaptive Iterative Learning Control for High-Speed Train : A Multi-Agent Approach[J]. , 2019: 1–11.

[51] Chen Mo, Xiao Zhuang, Sun Pengfei, Wang Qingyuan, Jin Bo, Feng Xiaoyun. Energy-efficient driving strategies for multi-train by optimization and update speed profiles considering transmission losses of regenerative energy[J]. Energies, 2019, 12(18).

[52] Xiao Zhuang, Chen Honghui, Guo Jinsong, Sun Pengfei, Wang Qingyuan. Energy management and speed profile optimization for hybrid electric trams[C]//ITEC Asia-Pacific 2019 - 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific: New Paradigm Shift, Sustainable E-Mobility. , 2019.

[53] Xiao Zhuang, Bai Baoxue, Chen Nankuang, Wang Qingyuan, Sun Pengfei. Energy-efficient control for metros with dynamic losses of traction power system[C]//2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. , 2019.

[54] Wang Song, Zhang Wenbo, Huang Jingchun, Wang Qingyuan, Sun Pengfei. Adhesion Control of Heavy-Duty Locomotive Based on Axle Traction Control System[J]. IEEE Access, 2019, 7.

[55] Jin Bo, Feng Xiaoyun, Sun Pengfei, Chen Mo, Chai Yang. Energy Saving in Metro Transit Substation through Train Trajectory Optimization[C]//2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. , 2019.

[56] Jin Bo, Sun Pengfei, Xu Maojun, Wang Qingyuan. IEEE, 2018. Train Timetable and Trajectory Optimization Using Improved State-space MILP[C]//2018 37th Chinese Control Conference (CCC). , 2018Wuhan: : 7748–7753.

[57] Xu Maojun, Liu Qiangqiang, Mao Changhai, Wang Qingyuan, Sun Pengfei. Energy-efficient Control of Energy Storage Tram with Signaling Constraints[C]//Chinese Control Conference, CCC. , 2018, 2018-July.

[58] Xiao Zhuang, Sun Pengfei, Wang Qingyuan, Zhu Yuqing, Feng Xiaoyun. Integrated optimization of speed profiles and power split for a tram with hybrid energy storage systems on a signalized route[J]. Energies, 2018, 11(3).

[59] Liu Qiangqiang, Xu Maojun, Mao Changhai, Sun Pengfei, Wang Qingyuan. Energy-efficient Control of Freight Trains on Steep Gradients[C]//Chinese Control Conference, CCC. , 2018, 2018-July.

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[1] 孙鹏飞, 魏咪, 王青元, 张传鑫, 蒋春宏. 结合迭代学习和模型预测的重载列车运行控制[J]. 中国铁道科学, 2023, 44(2): 111–119.

[2] 高枫, 郭佑星, 孙鹏飞, 夏菲. 基于迭代学习的高速列车速度跟踪控制研究[J]. 铁道机车车辆, 2023, 43(1): 32–39.

[3] 冯晓云, 黄德青, 王青元, 孙鹏飞, 何庆. 轨道交通列车综合节能研究综述[J]. 铁道学报, 2023, 45(2): 22–34.

[4] 肖壮, 冯晓云, 王青元, 孙鹏飞, 黄德青. 考虑电力牵引链路非线性损耗的列车节能驾驶方法[J]. 铁道学报, 2022, 44(33–39).

[5] 王青元, 赵紫宁, 刘强强, 王开云, 饶煜, 孙鹏飞. 两万t重载列车空气制动过程建模[J]. 机车电传动, 2022(70–76).

[6] 金波, 郭佑星, 王青元, 孙鹏飞, 冯晓云. 考虑大小交路的时刻表与车底运用计划一体化编制方法[J]. 中国铁道科学, 2022, 43(173–181).

[7] 姜森浩, 孙鹏飞, 金波, 张佳辉. 数据驱动的重载列车多目标速度曲线规划算法研究[J]. 现代计算机, 2022, 28(1-8+23).

[8] 李旺, 金淼鑫, 孙鹏飞. 重载机车牵引计算仿真系统开发及其应用[J]. 装备制造技术, 2021(81-84+88).

[9] 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.

[10] 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(11–17).

[11] 徐茂峻, 肖壮, 毛畅海, 孙鹏飞. 关于储能式有轨电车节能优化控制研究[J]. 计算机仿真, 2019, 36(88–94).

[12] 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(1577–1586).

[13] 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(125–129).

获得荣誉

■ 2022 获得 中国铁道学会科技进步一等奖《高速列车运行动态模拟关键技术及装备》

■ 2022 获得 全国铁路青年科技创新奖《2万吨重载列车精准操控关键技术与应用》

■ 2019 获得 四川省科技进步一等奖《高速列车电力牵引系统关键技术及应用》

专利授权

授权发明专利 (16项)：

1. 孙鹏飞,陈南匡,王青元,郭佑星,朱宇清,白宝雪,陈宏辉. 数据模拟装置及其模拟方法、上位机-LKJ装置、LKJ模拟系统[P].    四川省:    CN109839879B,    2023-09-08.       

2. 王青元,王晓文,孙鹏飞,张佳辉,罗欢. 一种基于时刻表调整的车载储能设备配置方法[P].    四川省:    CN114228765B,    2023-05-05.       

3. 孙鹏飞,张传鑫,王青元,陈小龙,金波,冯晓云. 一种城市轨道交通运行调度方法及系统[P].    四川省:    CN113743828B,    2023-04-07.        

4. 孙鹏飞,张传鑫,王青元,魏咪,王开云,凌亮 一种基于迭代学习的重载列车运行控制方法[P].    四川省:    CN115128957B,    2023-03-14.       

5. 孙鹏飞,郭佑星,王青元,鄢克勤,苟斌. 一种基于迭代滑模控制的列车运行跟踪方法[P].    四川省:    CN113671838B,    2023-02-24.       

6. 王青元,魏咪,孙鹏飞,饶煜,赵紫宁,马磊. 一种列车全程最优目标速度计算方法[P]. 四川省：CN113815685B,2022-06-17.

7. 孙鹏飞,方倩,王青元,张传鑫,唐海川,鄢克勤. 一种列车控制级位的自适应调控方法[P]. 四川省：CN114275012B,2022-05-20.

8. 王青元,郑毅,孙鹏飞,张子佩,鄢克勤. 一种针对带车载储能列车在复杂山区铁路的优化通行方法[P]. 四川省：CN113665638B,2022-04-22.

9. 冯晓云,金波,孙鹏飞,王青元,方倩,宋文胜,王嵩. 城市轨道交通时刻表与车底运用计划智能规划方法[P]. 四川省：CN111523814B,2022-02-11.

10. 孙鹏飞,王传儒,王青元,程军舒,郑毅,宋文胜. 列车辅助驾驶方法、系统、设备及计算机可读存储介质[P]. 四川省：CN113635943B,2022-02-11.

11. 冯晓云,王晓文,王青元,孙鹏飞,王传儒,付程成. 一种基于惰行-恒速的地铁速度曲线优化方法[P]. 四川省：CN112926782B,2022-02-01.

12. 孙鹏飞,付程成,王青元,冯晓云,朱雨桐,刘伟志. 一种能量受限且时间自由的列车运行优化方法[P]. 四川省：CN113135208B,2022-01-11.

13. 冯晓云,冯佳辉,孙鹏飞,王青元,张波,朱雨桐. 列车车载储能设备的储能量设计方法[P]. 四川省：CN113306604B,2022-01-04.

14. 冯晓云,郭佑星,方倩,孙鹏飞,王青元. 一种基于状态辨识的列车快速精确停车方法[P]. 四川省：CN112744270B,2021-11-16.

15. 孙鹏飞,郭佑星,王青元,方倩,冯晓云,黄德青. 列车控制级位的动态调控方法及其动态调控装置[P]. 四川省：CN113085963B,2021-09-14.

16. 孙鹏飞,陈默,王青元,冯晓云,宋文胜,王嵩. 一种考虑网损的多列车速度曲线协同优化方法[P]. 四川省：CN111114596B,2021-05-11.

17. 孙鹏飞,金波,王青元,陈默,王晓文,郭金松. 城市轨道交通节能时刻表和运行曲线优化方法[P]. 四川省：CN109815536B,2020-10-30.

18. 王青元,毛畅海,孙鹏飞,白宝雪,陈鸿辉. 一种列车多区间运行曲线快速优化方法[P]. 四川省：CN109840641B,2020-05-26.

19. 王青元,白宝雪,孙鹏飞,郭佑星,朱宇清,冯晓云. 一种重载列车运行的多目标优化方法[P]. 四川省：CN108764571B,2020-04-14.

20. 孙鹏飞,肖壮,王青元,朱宇清,尤冰涛,冯晓云. 一种电力列车的经济性动力匹配与分配方法[P]. 四川省：CN109532963B,2020-01-21.

21. 王青元,孙鹏飞,柴杨,刘成. 一种动车组应急运行司机指导方法[P]. 四川省：CN109278812B,2019-11-05.

软件著作权 (8项)：

1. 孙鹏飞, 方倩, 鄢克勤, 王青元, 耿昊然. 车线网一体化仿真平台软件 V1.0[Z]. 证书号: 软著登字第9418779号. 登记号: 2022SR0464580.

2. 西南交通大学, 中车长春轨道客车股份有限公司, 孙鹏飞, 王青元, 宋文胜, 冯晓云. 高速列车辅助驾驶装置显示软件（PC版）V1.0[Z]. 证书号: 软著登字第6132914号. 登记号: 2020SR1254218.

3. 王青元, 孙鹏飞, 宋文胜, 冯晓云, 西南交通大学, 中车长春轨道客车股份有限公司. 高速列车准点节能牵引仿真软件（PC版）V1.0[Z]. 证书号: 软著登字第6132799号. 登记号: 2020SR1254103.

4. 王青元, 孙鹏飞, 郭金松, 宋文胜, 冯晓云, 西南交通大学. 高速铁路列车辅助驾驶系统人机交互软件 V1.0[Z]. 证书号: 软著登字第6133044号. 登记号: 2020SR1254348.

5. 王青元, 孙鹏飞, 郭金松, 宋文胜, 冯晓云, 西南交通大学. 机车操纵示意图编制软件（PC版） V1.0[Z]. 证书号: 软著登字第6132863号. 登记号: 2020SR1254167.

6. 孙鹏飞, 王青元, 宋文胜, 冯晓云, 王嵩, 西南交通大学. 机车辅助驾驶速度曲线计算软件(嵌入式) V1.0[Z]. 证书号: 软著登字第6133057号. 登记号: 2020SR1254361.

7. 王青元, 孙鹏飞, 郭金松, 宋文胜, 冯晓云, 西南交通大学. 机车牵引计算仿真软件(PC版） V1.0[Z]. 证书号: 软著登字第6132864号. 登记号: 2020SR1254168.

8. 西南交通大学, 中车长春轨道客车股份有限公司, 王青元, 孙鹏飞, 宋文胜, 冯晓云. 基于MVB通信的高速列车辅助驾驶嵌入式软件 V1.0[Z]. 证书号: 软著登字第6133056号. 登记号: 2020SR1254360.

招生信息

学习环境

招生方向

    ① 电气工程 > 电气工程

    ② 电气工程 > 电力电子与电力传动

    ③ 电气工程 > 轨道交通电气化与信息技术

    ④ 控制科学与工程 > 系统工程

    ⑤ 控制科学与工程 > 控制理论与控制工程

招生人数

    硕士研究生 3人/年

科研项目

主持项目 (13项)： 

2024.01-2026.12，货运列车安全平稳节能速度轨迹规划，国家重点研发计划重点专项课题

2023.09-2025.03，市域车节能驾驶一体化控制成套技术，中车长春轨道客车股份有限公司

2023.12-2024.03，自动驾驶精准停车算法功能模拟测试，中车长春轨道客车股份有限公司

2022.09-2024.08，适用于智能辅助驾驶的动车组运行阻力在辨识算法研究，中国铁道科学研究院集团有限公司（动车组与机车牵引与控制国家重点实验室）

2021.12-2023.03，复杂运行条件下列车智能控制算法开发，北京纵横机电技术开发公司；

2021.01-2023.01，基于时空多尺度迭代学习的重载列车运行控制方法研究(62003283)，国家自然科学基金项目（G02）-青年科学基金项目；

2018.05-2020.10，基于宽禁带半导体器件高频化应用电路拓扑研究(2017YFB1200902-08)，国家重点研发计划项目；

2020.02-2020.12，轨道车辆牵引计算仿真系统开发项目，中车株洲电力机车有限公司；

2018.12-2019.12，智能动车组项目应急自走行控制技术，北京纵横机电技术开发公司；

2019.12-2021.06，动车组及城轨车辆牵引计算软件开发，中车长春轨道客车股份有限公司；

2019.05-2020.12，高速列车综合节能效果试验测试，中车唐山机车车辆有限公司；

2019.10-2020.12，重载列车操纵示意图编制软件开发，大秦铁路股份有限公司(科学技术研究所)；

2019.10-2020.12，重载列车运行仿真建模与多目标优化操纵技术研究，大秦铁路股份有限公司(科学技术研究所)；

主研项目 (26项)：

2024.01-2027.12，基于列车网络控制的高速动车组智能操控理论与关键技术研究(U2368216)，国家自然科学基金项目（G02）-联合基金项目

2021.12-2025.12，川藏铁路列车智能操控理论与关键技术研究(U21A20169)，国家自然科学基金项目（G02）-联合基金项目；

2022.03-2023.12，川藏铁路环境下列车车载储能装置运行状态估计策略研究(2022NSFSC0448)，四川省自然科学基金（S01）-面上项目；

2021.12-2024.12，轨道交通自洽能源系统列车高效运行与节能操纵技术，国家重点研发计划项目（G01）-国家重点研发计划项目；

2021.10-2025.12，适用于川藏铁路列车应急自走行的电能路由器控制研究(52177196)，国家自然科学基金项目（G02）-面上项目；

2020.12-2022.11，时速400公里高速列车运行智能控制关键技术研究(2020YFQ0057)，四川省科技厅重点研发计划项目；

2020.01-2023.12，高速列车自主协同运行控制理论与方法研究(U1934221)，国家自然科学基金项目（G02）-联合基金项目；

2020.10-2022.12，朔黄铁路2万吨重载列车精准操纵辅助驾驶系统，朔黄铁路发展有限责任公司；

2020.06-2021.06，超级电容有轨电车供电/行车一体化协同评估关键技术，中铁第四勘察设计院集团有限公司；

2020.06-2021.06，列车应急自走行动力系统配置方案与控制策略计算软件，北京纵横机电开机有限公司；

2019.07-2022.12，地铁列车运行节能优化控制技术研究，中车青岛四方机车车辆研究所有限公司；

2019.09-2020.12，重载列车智能操纵系统规范研究，大秦铁路股份有限公司（科学技术研究所）；

2019.04-2020.12，重载列车操纵评价技术研究，大秦铁路股份有限公司（科学技术研究所）；

2019.04-2019.12，铁路机车自动驾驶技术控制算法研究，中国铁道科学研究院集团有限公司机车车辆研究所；

2017.12-2018.12，动车组运行准点节能优化控制技术研究，北京纵横机电技术开发公司；

2017.07-2019.12，快捷货运列车平稳节能运行建模与优化控制技术，国家重点研发计划项目（G01）-国家重点研发计划项目；

2016.06-2020.10，多效应耦合及智能控制技术研究(2016YFB1200502-02)，国家重点研发计划项目（G01）-国家重点研发计划项目；

2016.03-2017.12，混合动力列车牵引系统仿真软件开发，中车青岛四方车辆研究所；

2015.07-2017.06，高速铁路列车追踪间隔关键技术深化研究，中国铁路总公司；

2015.01-2015.12，HX型电力机车乘务员节能操纵技术研究，北京铁路局邯郸机务段；

2015.01-2015.12，广深铁路公司模拟驾驶列车操纵示意图软件开发，成都运达科技股份有限公司；

2015.06-2015.12，蒙华铁路列车牵引计算有关问题研究，蒙西华中铁路股份有限公司；

2014.01-2015.12，混合动力动车组项目牵引系统方案设计与运行仿真平台开发，长春轨道客车股份有限公司；

2013.03-2014.12，列车驾驶仿真系统软件开发，成都运达科技股份有限公司；

2013.05-2013.12，地铁列车特殊工况仿真计算软件，中铁二院工程集团有限责任公司机械动力工程设计研究院；

2013.05-2013.12，多车牵引能耗计算软件，中铁二院工程集团有限责任公司机械动力工程设计研究院；