Active fault-tolerant coordination energy management for a proton exchange membrane fuel cell using curriculum-based multiagent deep meta-reinforcement learning

J Li, T Zhou - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
This paper addresses the challenge of active fault-tolerant coordination control (AFTCC) for
proton exchange membrane fuel cells (PEMFCs), which are complex nonlinear systems with …

Performance evaluation of a novel self-tuning particle swarm optimization algorithm-based maximum power point tracker for porton exchange membrane fuel cells …

A Refaat, A Elbaz, AE Khalifa, MM Elsakka… - Energy Conversion and …, 2024 - Elsevier
The power generated by a proton exchange membrane fuel cell (PEMFC) is heavily
impacted by the change in membrane water content (MWC) and cell temperature. Since …

Feedforward-decoupled closed-loop fuzzy proportion-integral-derivative control of air supply system of proton exchange membrane fuel cell

Z Liu, H Chen, L Peng, X Ye, S Xu, T Zhang - Energy, 2022 - Elsevier
Effective control strategies of air supply system are the key to guaranteeing reliability and
efficiency of the operation of the proton exchange membrane fuel cell (PEMFC) system. The …

[HTML][HTML] Observer-based interval type-2 fuzzy PID controller for PEMFC air feeding system using novel hybrid neural network algorithm-differential evolution optimizer

MS AbouOmar, Y Su, H Zhang, B Shi, L Wan - Alexandria Engineering …, 2022 - Elsevier
In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE)
optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE …

A long‐term energy management strategy for fuel cell electric vehicles using reinforcement learning

YF Zhou, LJ Huang, XX Sun, LH Li, J Lian - Fuel Cells, 2020 - Wiley Online Library
The two power sources of a fuel cell electric vehicle (FCEV) are proton electrolyte
membrane fuel cell (PEMFC) and Li‐ion battery (LIB). The health status of PEMFC and LIB …

A new adaptive type-II fuzzy-based deep reinforcement learning control: fuel cell air-feed sensors control

M Gheisarnejad, J Boudjadar… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
This paper proposes a new adaptive controller for air-feed on proton exchange membrane
fuel cell (PEMFC) plants. The oxygen excess ratio is first regulated by a single input interval …

MPPT of PEM fuel cell using PI-PD controller based on golden jackal optimization algorithm

AM Agwa, TI Alanazi, H Kraiem, E Touti, A Alanazi… - Biomimetics, 2023 - mdpi.com
Subversive environmental impacts and limited amounts of conventional forms of energy
necessitate the utilization of renewable energies (REs). Unfortunately, REs such as solar …

Robust model-free adaptive interval type-2 fuzzy sliding mode control for PEMFC system using disturbance observer

AM Omer Abbaker, H Wang, Y Tian - International Journal of Fuzzy …, 2020 - Springer
This paper proposes a novel robust model-free adaptive interval type-2 fuzzy sliding mode
control (MF-AIT2FSMC) for the proton exchange membrane fuel cell (PEMFC) system using …

Evaluation method of oxygen excess ratio control under typical control laws for proton exchange membrane fuel cells

F Yang, Y Li, D Chen, S Hu, X Xu - International Journal of Hydrogen …, 2023 - Elsevier
For real-used proton exchange membrane fuel cells (PEMFC), it is critical to design an
effective controller and evaluate its performance. Current evaluations of controllers are often …

Indirect P&O type-2 fuzzy-based adaptive step MPPT for proton exchange membrane fuel cell

A Harrag, H Rezk - Neural Computing and Applications, 2021 - Springer
The output power of the fuel cell depends on the operating conditions, such as the
temperature and membrane water content. Therefore, a robust maximum power point …