Enhanced deep reinforcement learning-based thermal management strategy for PEMFC considering coolant system parasitic power

Thermal management of fuel cells is crucial for maintaining their efficient operation, as improper temperature regulation can significantly reduce fuel cell output performance and lifespan. With the growing global energy demand and the pursuit of sustainable energy, fuel cells play a key role in ach...

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Veröffentlicht in:	International journal of hydrogen energy Jg. 146; S. 149919
Hauptverfasser:	Zhang, Zhi, Yuan, Weiwei, Wang, Yaxiong, Ou, Kai, Huang, Yin, Xuan, Dongji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 09.07.2025
Schlagworte:	Control strategy Deep reinforcement learning Parasitic power PEMFC Thermal management Deep reinforcement learning Thermal management PEMFC Parasitic power Control strategy
ISSN:	0360-3199
Online-Zugang:	Volltext
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