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 …

A critical survey on proton exchange membrane fuel cell parameter estimation using meta-heuristic algorithms

B Yang, J Wang, L Yu, H Shu, T Yu, X Zhang… - Journal of Cleaner …, 2020 - Elsevier
A reliable and accurate mathematical modelling is crucial for performance analysis and
optimal control of proton exchange membrane fuel cell (PEMFC) systems, which is mainly …

Red-tailed hawk algorithm for numerical optimization and real-world problems

S Ferahtia, A Houari, H Rezk, A Djerioui… - Scientific Reports, 2023 - nature.com
This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …

[HTML][HTML] A new technique for optimal estimation of the circuit-based PEMFCs using developed sunflower optimization algorithm

Z Yuan, W Wang, H Wang, N Razmjooy - Energy Reports, 2020 - Elsevier
This paper proposes a new methodology for the optimal selection of the parameters for
proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal …

Precise modeling of PEM fuel cell using a novel Enhanced Transient Search Optimization algorithm

HM Hasanien, MAM Shaheen, RA Turky, MH Qais… - Energy, 2022 - Elsevier
This paper introduces a novel enhancement to the Transient Search Optimization (TSO)
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …

Semi-empirical PEM fuel cells model using whale optimization algorithm

AA El-Fergany, HM Hasanien, AM Agwa - Energy Conversion and …, 2019 - Elsevier
The accuracy of the fuel cell model (FC) plays an important role, since it affects the
simulation results. Obviously, this can appear in different systems of distributed generations …

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 …

Precise modeling of PEM fuel cell using improved chaotic MayFly optimization algorithm

MAM Shaheen, HM Hasanien… - … Journal of Energy …, 2021 - Wiley Online Library
The accuracy of the modeling of the fuel cell is important for achieving precise simulation
results. This article presents a newly developed optimization method “Chaotic MayFly …

Identifying the PEM fuel cell parameters using artificial rabbits optimization algorithm

AJ Riad, HM Hasanien, RA Turky, AH Yakout - Sustainability, 2023 - mdpi.com
The artificial rabbits optimization (ARO) algorithm is proposed in this article to find the
optimum values for uncertain parameters for the proton exchange membrane fuel cell …

Jellyfish search algorithm for extracting unknown parameters of PEM fuel cell models: Steady-state performance and analysis

EA Gouda, MF Kotb, AA El-Fergany - Energy, 2021 - Elsevier
In this paper, a novel attempt to employ the Jellyfish search algorithm (JSA) for solving
parameters' identifications problem of polymer exchange membrane fuel cells (PEMFCs) …