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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Vydané v:	eTransportation (Amsterdam) Ročník 4; s. 100057
Hlavní autori:	Peng, Hujun, Li, Jianxiang, Thul, Andreas, Deng, Kai, Ünlübayir, Cem, Löwenstein, Lars, Hameyer, Kay
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2020
Predmet:	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
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