An improved energy management strategy for hybrid electric powered aircraft based on deep reinforcement learning-Reference-Cited by-同舟云学术

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An improved energy management strategy for hybrid electric powered aircraft based on deep reinforcement learning

Published:2024-06 Issue: Volume:149 Page:109137
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

He Liaolei^ORCID,Chen Fang^ORCID,Tian Peidong,Gou Huaxing

Publisher

Elsevier BV

Reference32 articles.

1. Materials, technological status, and fundamentals of pem fuel cells – a review;Wang;Mater. Today,2020

2. Viability study of a fc-battery-sc tramway controlled by equivalent consumption minimization strategy;García;Int. J. Hydrog. Energy,2012

3. Performance assessment of a solid oxide fuel cell turbine-less jet hybrid engine integrated with a fan and afterburners;Ji;Aerosp. Sci. Technol.,2021

4. Electric/hybrid-electric aircraft propulsion systems;Wheeler;Proc. IEEE,2021

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