A scalable, causal, adaptive rule-based energy management for fuel cell hybrid railway vehicles learned from results of dynamic programming

A scalable, causal, adaptive rule-based energy management strategy for fuel cell hybrid trains is developed. The rules of this strategy are initiated by the results of two-dimensional dynamic programming under different driving conditions and utilize the convexity of the characteristic specific cons...

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Veröffentlicht in:	eTransportation (Amsterdam) Jg. 4; S. 100057
Hauptverfasser:	Peng, Hujun, Li, Jianxiang, Thul, Andreas, Deng, Kai, Ünlübayir, Cem, Löwenstein, Lars, Hameyer, Kay
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2020
Schlagworte:	Dynamic programming Energy management Fuel cell hybrid trains Rule-based strategy Scalability Fuel cell hybrid trains Rule-based strategy Dynamic programming Scalability Energy management
ISSN:	2590-1168, 2590-1168
Online-Zugang:	Volltext
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