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 …

[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 …

[HTML][HTML] Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm

Y Cao, Y Li, G Zhang, K Jermsittiparsert, N Razmjooy - Energy Reports, 2019 - Elsevier
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 …

[HTML][HTML] System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm

D Yu, Y Wang, H Liu, K Jermsittiparsert, N Razmjooy - Energy Reports, 2019 - Elsevier
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 …

[HTML][HTML] Machine learning modeling for proton exchange membrane fuel cell performance

A Legala, J Zhao, X Li - Energy and AI, 2022 - Elsevier
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 …

Thermal-physical modeling and parameter identification method for dynamic model with unmeasurable state in 10-kW scale proton exchange membrane fuel cell …

Y Li, F Yang, D Chen, S Hu, X Xu - Energy Conversion and Management, 2023 - Elsevier
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 …

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 …

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 …

Neural adaptive observer-based sensor and actuator fault detection in nonlinear systems: Application in UAV

A Abbaspour, P Aboutalebi, KK Yen, A Sargolzaei - ISA transactions, 2017 - Elsevier
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 …

Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

A Zameer, J Arshad, A Khan, MAZ Raja - Energy conversion and …, 2017 - Elsevier
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 …