Function approximation reinforcement learning of energy management with the fuzzy REINFORCE for fuel cell hybrid electric vehicles

Function approximation reinforcement learning of energy management with the fuzzy REINFORCE for fuel cell hybrid electric vehicles

In the paper, a novel self-learning energy management strategy (EMS) is proposed for fuel cell hybrid electric vehicles (FCHEV) to achieve the hydrogen saving and maintain the battery operation. In the EMS, it is proposed to approximate the EMS policy function with fuzzy inference system (FIS) and l...

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Bibliographic Details
Main Authors: Liang Guo, Zhongliang Li, Rachid Outbib, Fei Gao
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Energy and AI
Subjects:
Energy management strategy
Fuel cell hybrid electric vehicle
Reinforcement learning
Fuzzy inference system
Fuzzy policy gradient
Hardware-in-loop
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000186

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http://www.sciencedirect.com/science/article/pii/S2666546823000186

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