[HTML][HTML] Application of machine learning in optimizing proton exchange membrane fuel cells: a review

R Ding, S Zhang, Y Chen, Z Rui, K Hua, Y Wu, X Li… - Energy and AI, 2022 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …

A comprehensive and comparative review on parameter estimation methods for modelling proton exchange membrane fuel cell

U Mitra, A Arya, S Gupta - Fuel, 2023 - Elsevier
Abstract Proton Exchange Membrane Fuel Cell (PEMFC) is one of the rising clean form of
energy. Due to various advantages of PEMFCs, they have widespread applications. The …

Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer

AA El-Fergany - Renewable Energy, 2018 - Elsevier
In the last years, significant attentions have been paid in the state-of-the-literature to have
precise current/voltage (I/V) polarization curves of polymer exchange membrane fuel cells …

[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 …

A survey of teaching–learning-based optimization

F Zou, D Chen, Q Xu - Neurocomputing, 2019 - Elsevier
Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems

R Rao - Decision science letters, 2016 - growingscience.com
The teaching-learning-based optimization (TLBO) algorithm is finding a large number of
applications in different fields of engineering and science since its introduction in 2011. The …

A novel approach based on hybrid vortex search algorithm and differential evolution for identifying the optimal parameters of PEM fuel cell

A Fathy, M Abd Elaziz, AG Alharbi - Renewable Energy, 2020 - Elsevier
Fuel cells (FCs) penetrated strongly in many applications, modeling of FCs became a major
challenge in recent years due to their characteristics, there are some missing data in the …

Effective parameters' identification for polymer electrolyte membrane fuel cell models using grey wolf optimizer

M Ali, MA El-Hameed, MA Farahat - Renewable energy, 2017 - Elsevier
The aim of this paper is to develop an accurate model for the polymer electrolyte membrane
fuel cell (PEMFC), that can precisely mimic and simulate the electrical characteristics of …

A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling

K Priya, K Sathishkumar, N Rajasekar - Renewable and Sustainable …, 2018 - Elsevier
The widespread use of Proton Exchange Membrane fuel cell for its unique advantages
compelled researchers for precise modelling of its characteristics. Since, modelling …

Benchmark of proton exchange membrane fuel cell parameters extraction with metaheuristic optimization algorithms

M Kandidayeni, A Macias, A Khalatbarisoltani… - Energy, 2019 - Elsevier
Proton exchange membrane fuel cell (PEMFC) models are multivariate with different
nonlinear elements which should be identified accurately to assure dependable modeling …