Flexible and wearable fuel cells: A review of configurations and applications

J Wang, N He, J Fei, Z Ma, Z Ji, Z Chen, N Nie… - Journal of Power …, 2022 - Elsevier
Deformable energy devices play a crucial role in flexible and wearable electronics.
Currently, deformable energy storage devices demonstrate deficiencies, forcing flexible and …

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 …

Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer

H Rezk, S Ferahtia, A Djeroui, A Chouder, A Houari… - Energy, 2022 - Elsevier
The exact parameter estimation of the fuel cell model is considered a critical stage in
delivering a consistent emulation for the fuel cell system characteristics. The aim of this is to …

Optimization of PEMFC model parameters using meta-heuristics

S Mahdinia, M Rezaie, M Elveny, N Ghadimi… - Sustainability, 2021 - mdpi.com
The present study introduces an economical–functional design for a polymer electrolyte
membrane fuel cell system. To do so, after introducing the optimization problem and solving …

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 …

An enhanced Archimedes optimization algorithm based on Local esca** operator and Orthogonal learning for PEM fuel cell parameter identification

EH Houssein, BE Helmy, H Rezk, AM Nassef - Engineering Applications of …, 2021 - Elsevier
Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing
some specific criteria such as performance, profit, and quality or minimizing others such as …

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 …

Novel evolutionary-optimized neural network for predicting landslide susceptibility

RM Adnan Ikram, I Khan, H Moayedi… - Environment …, 2024 - Springer
In order to mitigate/prevent the risks of landslides, one of the essential tools that can be used
to manage and plan the development of human settlements is landslide susceptibility. The …

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 …