Computational techniques based on artificial intelligence for extracting optimal parameters of PEMFCs: Survey and insights

H Ashraf, SO Abdellatif, MM Elkholy… - … Methods in Engineering, 2022 - Springer
For the sake of precise simulation, and proper controlling of the performance of the proton
exchange membrane fuel cells (PEMFCs) generating systems, robust and neat …

Comparative analysis on parametric estimation of a PEM fuel cell using metaheuristics algorithms

T Wilberforce, H Rezk, AG Olabi, EI Epelle… - Energy, 2023 - Elsevier
One of the primary issues in the modelling of fuel cell is the determination of specific
boundary conditions often deduced from the manufacturer of the fuel cell. Realistically, not …

Honey badger optimizer for extracting the ungiven parameters of PEMFC model: Steady-state assessment

H Ashraf, SO Abdellatif, MM Elkholy… - Energy Conversion and …, 2022 - Elsevier
In this work, a novel attempt is performed to optimally identify the seven ungiven parameters
of the proton exchange membrane fuel cells (PEMFCs) steady-state model. A fitness …

Optimal parameter identification of a PEM fuel cell using recent optimization algorithms

H Rezk, T Wilberforce, AG Olabi, RM Ghoniem… - Energies, 2023 - mdpi.com
The parameter identification of a PEMFC is the process of using optimization algorithms to
determine the ideal unknown variables suitable for the development of an accurate fuel-cell …

[HTML][HTML] Synergy of neuro-fuzzy controller and tuna swarm algorithm for maximizing the overall efficiency of PEM fuel cells stack including dynamic performance

H Ashraf, MM Elkholy, SO Abdellatif… - Energy Conversion and …, 2022 - Elsevier
Recently, world endeavors are focused on promoting energy savings by operating both
sources and loads at their maximum efficiency points. Thus, this paper presents a novel …

[HTML][HTML] Performance of rime-ice algorithm for estimating the PEM fuel cell parameters

AAK Ismaeel, EH Houssein, DS Khafaga, EA Aldakheel… - Energy Reports, 2024 - Elsevier
The process of employing optimization techniques to identify the optimum unknown
variables appropriate for the creation of a precision fuel-cell performance forecasting model …

[HTML][HTML] Enhancing model characterization of PEM Fuel cells with human memory optimizer including sensitivity and uncertainty analysis

AM Shaheen, A Alassaf, I Alsaleh… - Ain Shams Engineering …, 2024 - Elsevier
This paper presents a novel attempt to identify the seven unknown proton exchange
membrane (PEM) Fuel Cells (PEMFCs)'parameters. The sum of quadratic deviations (SQD) …

Over-current relays coordination including practical constraints and DGs: Damage curves, inrush, and starting currents

A Draz, MM Elkholy, A El-Fergany - Sustainability, 2022 - mdpi.com
In this paper, an integrated optimization model based on Gradient-Based Optimizer (GBO)
for overcurrent relays coordination along with the challenging practical constraints is …

Extracting Unknown parameters of proton exchange membrane fuel cells using Quantum Encoded Pathfinder algorithm

N Li, G Zhou, Y Zhou, W Deng, Q Luo - Frontiers in Energy Research, 2022 - frontiersin.org
Proton exchange membrane fuel cell (PEMFC) is one of the most widely used fuel cell types.
Accurate modeling of PEMFC can better facilitate the research of PEMFC and guide …

[PDF][PDF] Extraction of PEM fuel cell parameters using Walrus Optimizer

EH Houssein, NA Samee, M Alabdulhafith… - AIMS …, 2024 - aimspress.com
Extraction of PEM fuel cell parameters using Walrus Optimizer Page 1 AIMS Mathematics, 9(5):
12726–12750. DOI: 10.3934/math.2024622 Received: 20 January 2024 Revised: 23 …