Title | ||
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A Novel Energy Management Strategy Based on Dual Reward Function Q-learning for Fuel Cell Hybrid Electric Vehicle |
Abstract | ||
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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 |
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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 Zhang | 1 | 11 | 15.58 |
Rui Ma | 2 | 100 | 20.94 |
Dongdong Zhao | 3 | 0 | 0.34 |
Yigeng Huangfu | 4 | 0 | 0.34 |
Weiguo Liu | 5 | 0 | 0.68 |