A critical survey of proton exchange membrane fuel cell system control: Summaries, advances, and perspectives
B Yang, J Li, Y Li, Z Guo, K Zeng, H Shu, P Cao… - International Journal of …, 2022 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is a promising future power source, which
uses hydrogen energy to generate electricity with the byproduct of water. In general, PEMFC …
uses hydrogen energy to generate electricity with the byproduct of water. In general, PEMFC …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
[HTML][HTML] Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
This study proposes an optimal model to design and simulate the proton exchange
membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved …
membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved …
[HTML][HTML] System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm
Parameter identification of the proton exchange membrane fuel cell (PEMFC) is a good way
of increasing their efficiency in the next designs. In this study, an optimized improved Elman …
of increasing their efficiency in the next designs. In this study, an optimized improved Elman …
[HTML][HTML] Machine learning modeling for proton exchange membrane fuel cell performance
Proton exchange membrane fuel cell (PEMFC) is considered essential for climate change
mitigation, and a fast and accurate model is necessary for its control and operation in …
mitigation, and a fast and accurate model is necessary for its control and operation in …
Thermal-physical modeling and parameter identification method for dynamic model with unmeasurable state in 10-kW scale proton exchange membrane fuel cell …
For proton exchange membrane fuel cell, the accurate physical modeling, involving dynamic
modeling and parameter identification, plays a significant role in simulation and control. The …
modeling and parameter identification, plays a significant role in simulation and control. The …
Review of system integration and control of proton exchange membrane fuel cells
D Wu, C Peng, C Yin, H Tang - Electrochemical Energy Reviews, 2020 - Springer
Proton exchange membrane fuel cells (PEMFCs) as power systems have been widely
studied in various application fields because of advantages such as cleanness and high …
studied in various application fields because of advantages such as cleanness and high …
Simulation study on the PEMFC oxygen starvation based on the coupling algorithm of model predictive control and PID
Y Wang, H Li, H Feng, K Han, S He, M Gao - Energy Conversion and …, 2021 - Elsevier
The frequent variable load operation of Proton exchange membrane fuel cell (PEMFC) may
cause the mismatch with the hysteresis of gas flow and diffusion, which will lead to oxygen …
cause the mismatch with the hysteresis of gas flow and diffusion, which will lead to oxygen …
Neural adaptive observer-based sensor and actuator fault detection in nonlinear systems: Application in UAV
A new online detection strategy is developed to detect faults in sensors and actuators of
unmanned aerial vehicle (UAV) systems. In this design, the weighting parameters of the …
unmanned aerial vehicle (UAV) systems. In this design, the weighting parameters of the …
Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
The inherent instability of wind power production leads to critical problems for smooth power
generation from wind turbines, which then requires an accurate forecast of wind power. In …
generation from wind turbines, which then requires an accurate forecast of wind power. In …