Deep Reinforcement Learning-Based Energy Management for Liquid Hydrogen-Fueled Hybrid Electric Ship Propulsion System

This study proposed a deep reinforcement learning-based energy management strategy (DRL-EMS) that can be applied to a hybrid electric ship propulsion system (HSPS) integrating liquid hydrogen (LH₂) fuel gas supply system (FGSS), proton-exchange membrane fuel cell (PEMFC) and lithium-ion b...

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Bibliografiske detaljer

Principais autores:	Wongwan Jung, Daejun Chang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-10-01
Serier:	Journal of Marine Science and Engineering
Fag:	deep reinforcement learning energy management strategy liquid hydrogen hybrid electric ship propulsion system
Online adgang:	https://www.mdpi.com/2077-1312/11/10/2007
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