Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information
The escalating level of vehicle electrification and intelligence makes higher requirements for
the energy management strategy (EMS) of fuel cell vehicles. Environmental and road …
the energy management strategy (EMS) of fuel cell vehicles. Environmental and road …
An intelligent control method for PEMFC air supply subsystem to optimize dynamic response performance
The excellent dynamic response performance of the proton exchange membrane fuel cell
(PEMFC) system provides an important guarantee for quickly and accurately following the …
(PEMFC) system provides an important guarantee for quickly and accurately following the …
Hydrogen leakage source positioning method in deep belief network based on fully confined space Gaussian distribution model
Hydrogen leakage has become the biggest bottleneck restricting the development of
hydrogen energy. Accurately locating the leakage is conducive to improving the hydrogen …
hydrogen energy. Accurately locating the leakage is conducive to improving the hydrogen …
Reinforcement learning based energy management for fuel cell hybrid electric vehicles: A comprehensive review on decision process reformulation and strategy …
Reinforcement learning (RL) has shown great application prospects from both industry and
academia in recent years, due to its success in surpassing human level performance in …
academia in recent years, due to its success in surpassing human level performance in …
Comprehensive review of hydrogen leakage in relation to fuel cell vehicles and hydrogen refueling stations: status, challenges, and future prospects
D Hu, P Gao, Z Cheng, Y Shen, R He, F Yi, M Lu… - Energy & …, 2024 - ACS Publications
As fuel cell vehicles (FCVs) are increasingly put on the market and hydrogen refueling
stations (HRSs) are built accordingly, fatal accidents caused by explosion due to hydrogen …
stations (HRSs) are built accordingly, fatal accidents caused by explosion due to hydrogen …
Feedback-linearization decoupling based coordinated control of air supply and thermal management for vehicular fuel cell system
D Song, Q Wu, X Zeng, X Zhang, Q Qian, DP Yang - Energy, 2024 - Elsevier
The coordinated control of the coupled system of air supply and thermal management is one
of the important ways to improve the efficiency of proton exchange membrane fuel cell …
of the important ways to improve the efficiency of proton exchange membrane fuel cell …
An intelligent thermal comfort control strategy for air conditioning of fuel cell vehicles
D Hu, C Qiu, D Lu, J Wang, H Huang, H Xue - Applied Thermal Engineering, 2024 - Elsevier
Thermal comfort is an important indicator for evaluating vehicle air conditioning, with many
influencing factors, but traditional vehicle air conditioning control only take temperature as …
influencing factors, but traditional vehicle air conditioning control only take temperature as …
A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction
Energy management strategy (EMS) is crucial for the actual performance of fuel cell hybrid
electric buses (FCHEB) in complex traffic environments. However, conventional EMS usually …
electric buses (FCHEB) in complex traffic environments. However, conventional EMS usually …
Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles
B Zhang, L Chang, T Teng, Q Chen, Q Li, Y Cao… - Applied Energy, 2024 - Elsevier
Fuel cell hybrid vehicles (FCHVs) are significant for achieving zero carbon emissions.
Connected FCHVs can leverage traffic information to collaboratively optimize cruise and …
Connected FCHVs can leverage traffic information to collaboratively optimize cruise and …
A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience
Data-driven intelligent energy management strategy (EMS) helps to further improve the
performance and efficiency of fuel cell hybrid electric bus (FCHEB). However, most deep …
performance and efficiency of fuel cell hybrid electric bus (FCHEB). However, most deep …