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 …
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 …
optimal control of proton exchange membrane fuel cell (PEMFC) systems, which is mainly …
Red-tailed hawk algorithm for numerical optimization and real-world problems
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 …
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 …
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
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 …
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …
Semi-empirical PEM fuel cells model using whale optimization algorithm
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 …
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 …
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 …
results. This article presents a newly developed optimization method “Chaotic MayFly …
Identifying the PEM fuel cell parameters using artificial rabbits optimization algorithm
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 …
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
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) …
parameters' identifications problem of polymer exchange membrane fuel cells (PEMFCs) …