Title
A Novel Energy Management Strategy Based on Dual Reward Function Q-learning for Fuel Cell Hybrid Electric Vehicle
Abstract
A reasonably designed energy management strategy (EMS) can guarantee the safe and stable operation of fuel cell hybrid electric vehicle (FCHEV). To optimize the energy conversion efficiency of FCHEV, this research proposes a three-level efficiency optimized EMS based on the dual reward functions Q-learning algorithm. Focused on the system overall efficiency, a hardware-in-the-loop experimental pla...
Year
DOI
Venue
2022
10.1109/TIE.2021.3062273
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Energy management,Lithium batteries,Real-time systems,Power supplies,Optimization,Fuels,Fuel cells
Journal
69
Issue
ISSN
Citations 
2
0278-0046
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yuxiang Zhang11115.58
Rui Ma210020.94
Dongdong Zhao300.34
Yigeng Huangfu400.34
Weiguo Liu500.68