研究论文
A deep reinforcement learning control method for PEMFC thermal management and air supply system
Wenhao Li, Shuai Li, Changqing Du, Yue Xu, Qianqian Xin, Fuwu Yan
Wuhan University of Technology Ji Hua Laboratory
来源Applied Thermal Engineering
年份2025
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工程Fuel Cells and Related Materials
Advancements in Solid Oxide Fuel Cells · Advanced Memory and Neural Computing
参考文献 21
Crystal structure and magnetic properties of the BaFe12−Al O19 (x=0.1–1.2) solid solutions
被引 449А.В. Труханов, В. А. Турченко, И.А. Бобриков · Journal of Magnetism and Magnetic Materials · 2015
Investigation of magnetic phase transformations in a system of Nd1−xBaxMnO3−δ (0≤x≤0.50) depending on the conditions of preparation
被引 37S. V. Trukhanov, I. O. Troyanchuk, D. D. Khalyavin · Journal of Experimental and Theoretical Physics · 2002
Model-based control of cathode pressure and oxygen excess ratio of a PEM fuel cell system
被引 143Michael A. Danzer, J. Wilhelm, Harald Aschemann · Journal of Power Sources · 2007
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施引文献 5
Nuclear cogeneration efficiency-flexibility trade-off via reinforcement learning
被引 0Zipeng Xu, Hangyu Wang, Zhongxi Meng · Applied Thermal Engineering · 2026
Experimental study on thermal characteristics of fuel cell vehicles under transient operating conditions
被引 0Piqiang Tan, Xuanhao Feng, Chaojie Yao · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2026
Coordinated control approach for hydrogen vehicle gas supply and thermal management subsystems based on hybrid control framework
被引 0Shiyi Fang, Yuan Zhu, Xiaolong Zhong · Renewable Energy · 2026
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