Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints

ZHANG Zixuan; CAO Yuan; SU Shuai

doi:10.23919/cje.2022.00.174

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Zixuan ZHANG, Yuan CAO, and Shuai SU, “Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints,” Chinese Journal of Electronics, vol. 33, no. 3, pp. 1–12, 2024 doi: 10.23919/cje.2022.00.174

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Zixuan ZHANG, Yuan CAO, and Shuai SU, “Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints,” Chinese Journal of Electronics, vol. 33, no. 3, pp. 1–12, 2024 doi: 10.23919/cje.2022.00.174

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Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints

doi: 10.23919/cje.2022.00.174

ZHANG Zixuan^{1, 2
,},
CAO Yuan^{2, 4
,},
SU Shuai^{3, 4
,
,}

1.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2.
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
3.
Frontiers Science Center for Smart High-speed Railway System, Beijing Jiaotong University, Beijing 100044, China
4.
National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University, Beijing 100044, China

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Author Bio:
Zixuan ZHANG received the B.E. degree from Agricultural University of Hebei, China, in 2018. Now, he is currently studying toward the Ph.D. degree with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. His current research interests include intelligent control, machine learning, and energy-efficient train operation in railway systems. (Email: 20111068@bjtu.edu.cn)

Yuan CAO received his B.S. degree in electric engineering and automation from Dalian Jiaotong University and Ph.D. degree in traffic information engineering and control from Beijing Jiaotong University in 2004 and 2011 respectively, where he is now a Professor. Since 2006, he has participated in many engineering practice, especially in the signal and communication system of high-speed railway. He has taken part in several key national research projects in the field of high-speed train control systems. His research interests include health management in train control systems. (Email: ycao@bjtu.edu.cn)

Shuai SU received the Ph.D. degree from Beijing Jiaotong University, Beijing, China, in 2016. He is currently working as the deputy director in the Frontiers Science Center for Smart High-speed Railway System, Beijing Jiaotong University. His current research interests include energy-efficient operation and control in railway systems, intelligent train control and dispatching. (Email: shuaisu@bjtu.edu.cn)
Corresponding author: Email: shuaisu@bjtu.edu.cn
Received Date: 2022-06-20
Accepted Date: 2023-04-04

Available Online: 2023-05-11

Abstract

Abstract

With rising energy prices and concerns about environmental issues, energy-efficient driving strategies (EEDS) for high-speed trains have received a substantial amount of attention. In particular, energy-saving schemes play a huge role in reducing the energy and operating costs of trains. This article studies the EEDS of high-speed trains at a given time. A well-posed model is formulated, in which the constraints of the checkpoints, in addition to the speed limits, vehicle dynamics, and discrete control throttle, are first considered. For a given control sequence, the Karush-Kuhn-Tucker (KKT) conditions are used to obtain the necessary conditions for an EEDS. According to several key equations of the necessary conditions, the checkpoint constraints are satisfied. Some case studies are conducted based on the data of the Beijing-Shanghai high-speed line to illustrate the effectiveness of the proposed approach.
- Energy-efficiency,
- High-speed trains,
- Checkpoints

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References(41)

References

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