Energy-Efficient Train Driving Based on Optimal Control Theory

Author:

Heineken Wolfram1ORCID,Richter Marc1ORCID,Birth-Reichert Torsten12ORCID

Affiliation:

1. Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstraße 22, 39106 Magdeburg, Germany

2. Hochschule für Angewandte Wissenschaften, Berliner Tor 5, 20099 Hamburg, Germany

Abstract

Efficient train driving plays a vital role in reducing the overall energy consumption in the railway sector. An energy minimising control strategy can be computed using the framework given by optimal control theory; in particular, the Pontryagin maximum principle can be used. Our optimisation approach is based on an algorithm presented by Khmelnitsky that considers electric trains equipped with regenerative braking. A derivation of Khmelnitsky’s theory from a more general formulation of the maximum principle is given in this article, and a complete list of switching cases between different driving regimes is included that is essential for practical application. A number of numerical examples are added to visualise the various switching cases. Energy consumption data from real-life operation of passenger trains are compared to the calculated energy minimum. In the presented study, the optimised strategy was able to save 37 percent of the average energy demand of the train in operation. The sensitivity of the energy consumption to deviations of the train speed from the optimum speed profile is studied in an example. Another example illustrates that the efficiency of regenerative braking has an effect on the optimum speed profile.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference56 articles.

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3. Franke, R., Terwiesch, P., and Meyer, M. (2000, January 12–15). An algorithm for the optimal control of the driving of trains. Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia.

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5. Howlett, P.G., Pudney, P.J., and Vu, X. (2008, January 10–12). Freightmiser: An energy-efficient application of the train control problem. Proceedings of the 30th Conference of Australian Institutes of Transport Research (CAITR), Perth, Australia.

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