#6650. Co-optimization of total running time, timetables, driving strategies and energy management strategies for fuel cell hybrid trains

December 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Automotive Engineering;
Electrical and Electronic Engineering;
Energy Engineering and Power Technology;
Transportation;
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Abstract:
A co-optimization of the total running time, timetables, driving strategies and energy management is implemented for the worlds first commercial fuel cell train Coradia iLint in this contribution. Thereby, the forward dynamic programming algorithm is applied to co-optimize the driving strategies between two stations, the running time distribution in various railway sections and the entire journeys running time. Through parallelization of the algorithm, the computational time is reduced. For energy management, a rule-based strategy utilizing the convexity of the fuel cell systems consumption curve is introduced. The co-optimization of train control and energy management is realized using a sequential algorithm to achieve decoupling. As a result, the number of state variables while using dynamic programming for the co-optimization is maintained at two.
Keywords:
Co-optimization; Dynamic programming; Energy management; Fuel cell trains; Train control; Train timetabling

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