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The Influence of Operating Strategies regarding an Energy Optimized Driving Style for Electrically Driven Railway Vehicles

Author

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  • Lukas Pröhl

    (Chair of Mechatronics, University of Rostock, 18059 Rostock, Germany)

  • Harald Aschemann

    (Chair of Mechatronics, University of Rostock, 18059 Rostock, Germany)

  • Roberto Palacin

    (Mechanical Engineering and Marine Technology, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

Abstract

The aim of this paper is the optimization of velocity trajectories for electrical railway vehicles with the focus on total energy consumption. On the basis of four fundamental operating modes—acceleration, cruising, coasting, and braking—energy-optimal trajectories are determined by optimizing the sequence of the operating modes as well as the corresponding switching points. The optimization approach is carried out in two consecutive steps. The first step ensures compliance with the given timetable, regarding both time and position constraints. In the second step, the influence of different operating strategies, such as load distribution and the switch-off of traction components during low loads, are analyzed to investigate the characteristics of the energy-optimal velocity trajectory. A detailed simulation model has been developed to carry out the analysis, including an assessment of its capabilities and advantages. The results suggest that the application of load-distribution techniques, either by a switch-off of parallel traction units or by a load-distribution between active units, can affect the energy-optimal driving style.

Suggested Citation

  • Lukas Pröhl & Harald Aschemann & Roberto Palacin, 2021. "The Influence of Operating Strategies regarding an Energy Optimized Driving Style for Electrically Driven Railway Vehicles," Energies, MDPI, vol. 14(3), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:583-:d:485881
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    References listed on IDEAS

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    1. Phil Howlett, 2000. "The Optimal Control of a Train," Annals of Operations Research, Springer, vol. 98(1), pages 65-87, December.
    2. J.P. Powell & R. Palacín, 2015. "A comparison of modelled and real-life driving profiles for the simulation of railway vehicle operation," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(1), pages 78-93, February.
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    Cited by:

    1. Franciszek Restel & Łukasz Wolniewicz & Matea Mikulčić, 2021. "Method for Designing Robust and Energy Efficient Railway Schedules," Energies, MDPI, vol. 14(24), pages 1-12, December.
    2. Szymon Haładyn, 2021. "The Problem of Train Scheduling in the Context of the Load on the Power Supply Infrastructure. A Case Study," Energies, MDPI, vol. 14(16), pages 1-19, August.

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