Energy Management Strategy for Fuel Cell Vehicles Based on Deep Transfer Reinforcement Learning

Energy Management Strategy for Fuel Cell Vehicles Based on Deep Transfer Reinforcement Learning

Deep reinforcement learning has been widely applied in energy management strategies (EMS) for fuel cell vehicles because of its excellent performance in the face of complex environments. However, when driving conditions change, deep reinforcement learning-based EMS needs to be retrained to adapt to...

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Bibliographic Details
Main Authors:	Ziye Wang, Ren He, Donghai Hu, Dagang Lu
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Energies
Subjects:	fuel cell vehicles deep reinforcement learning-based EMS transfer learning
Online Access:	https://www.mdpi.com/1996-1073/18/9/2192
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