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A minimal-energy driving strategy for high-speed electric train

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Abstract

This paper investigates the minimal-energy driving problem for high-speed electric train, and then proposes a three-stage optimal strategy. First, a switching system model is introduced to describe the new dynamics in high-speed electric train, which considers the extended range of speed, the energy efficiency and the regenerative brake. Based on the new model, the optimal driving strategy with minimal-energy consumption is studied, and the problem is boiled down to optimal control for switching systems. Using a numerical algorithm, a three-stage driving strategy is concluded, in which the traditional quasi-coasting stage is discarded and the maximal traction and brake are not suitable anymore. Finally, a case study on CRH is illustrated.

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Authors and Affiliations

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Correspondence to Liang Li.

Additional information

This work was supported by the National Key Technology R&D Program (No. 2009BAG12A08), the Research Foundation of the Ministry of Railways and Tsinghua University (RFMOR&THU) (Nos. 2009X003, J2009Z028), and the Research Foundation of Beijing National Railway Research Foundation of Beijing National Railway Research and Design Institute of Signal and Communication.

Liang LI received his B.S. degree from Xi’an Jiaotong University in 2007. He is currently a Ph.D. candidate in Tsinghua University. His research interests include optimal control and estimation theory of hybrid systems.

Wei DONG received his B.S. degree and Ph.D. degree from Tsinghua University in 2000 and 2006, respectively. He is currently an assistant researcher in the Department of Automation, and Tsinghua National Laboratory for Information Science and Technology, Tsinghua University. His research interests include fault diagnosis, modeling and simulation of complex system.

Yindong JI received his B.E. and M.S. degrees from the Department of Automation, Tsinghua University, in 1985, and in 1989, respectively. He is currently a professor of the Department of Automation, and Vice Dean of the Research Institute of Information Technology (RIIT), Tsinghua University. His main research areas are digital signal process, fault diagnosis. His current research interest is in the area of train control system of high speed railway.

Zengke ZHANG is a professor of Department of Automation, Tsinghua University. His research interests include motion control and intelligent control.

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Li, L., Dong, W., Ji, Y. et al. A minimal-energy driving strategy for high-speed electric train. J. Control Theory Appl. 10, 280–286 (2012). https://doi.org/10.1007/s11768-012-1129-0

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  • DOI: https://doi.org/10.1007/s11768-012-1129-0

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