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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Vydané v:	International journal of hydrogen energy Ročník 146; s. 149919
Hlavní autori:	Zhang, Zhi, Yuan, Weiwei, Wang, Yaxiong, Ou, Kai, Huang, Yin, Xuan, Dongji
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 09.07.2025
Predmet:	Control strategy Deep reinforcement learning Parasitic power PEMFC Thermal management Deep reinforcement learning Thermal management PEMFC Parasitic power Control strategy
ISSN:	0360-3199
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