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 …

Role of metaheuristics in optimizing microgrids operating and management issues: a comprehensive review

H Rezk, AG Olabi, ET Sayed, T Wilberforce - Sustainability, 2023 - mdpi.com
The increased interest in renewable-based microgrids imposes several challenges, such as
source integration, power quality, and operating cost. Dealing with these problems requires …

[HTML][HTML] An evolutionary multi-algorithm based framework for the parametric estimation of proton exchange membrane fuel cell

P Sharma, S Raju, R Salgotra - Knowledge-Based Systems, 2024 - Elsevier
This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower
pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm …

Parameter identification of PEMFC steady-state model based on p-dimensional extremum seeking via simplex tuning optimization method

F Yang, Y Li, D Chen, S Hu, X Xu - Energy, 2024 - Elsevier
For proton exchange membrane fuel cells (PEMFCs), accurate physical modeling and
parameter identification play significant roles in simulation and control. To accurately and …

Effects of operating conditions on the performance uniformity of the proton-exchange membrane fuel cell stack

X Zhu, L Su, X Wang, R Chen, D Ji, Y Ma, L Wu… - Energy Conversion and …, 2023 - Elsevier
The performance uniformity of the proton-exchange membrane fuel cell (PEMFC) stack
depends sensitively on the operating parameters. In this work, the dispersion of performance …

On the facile and accurate determination of the highly accurate recent methods to optimize the parameters of different fuel cells: Simulations and analysis

M Abdel-Basset, R Mohamed, M Abouhawwash - Energy, 2023 - Elsevier
The proton exchange membrane fuel cell (PEMFC) is a potential source of renewable
energy that offers a dual benefit of reducing environmental pollution and enabling easy …

A modified slime mold algorithm for parameter identification of hydrogen-powered proton exchange membrane fuel cells

AS Menesy, HM Sultan, ME Zayed… - International Journal of …, 2024 - Elsevier
In the quest for sustainable and efficient energy solutions, hydrogen fuel cells emerge as a
beacon of hope, offering a promising pathway towards a greener future. Accurate …

Parameter identification of proton exchange membrane fuel cell based on swarm intelligence algorithm

B Zhang, R Wang, D Jiang, Y Wang, J Wang, B Ruan - Energy, 2023 - Elsevier
Accurate estimation of the model parameters of a fuel cell is extremely important to study its
system behavior. This paper presents a parameter identification method based on improved …

A comprehensive review and application of metaheuristics in solving the optimal parameter identification problems

H Rezk, AG Olabi, T Wilberforce, ET Sayed - Sustainability, 2023 - mdpi.com
For many electrical systems, such as renewable energy sources, their internal parameters
are exposed to degradation due to the operating conditions. Since the model's accuracy is …

[HTML][HTML] Multiple learning neural network algorithm for parameter estimation of proton exchange membrane fuel cell models

Y Zhang, C Huang, H Huang, J Wu - Green Energy and Intelligent …, 2023 - Elsevier
Extracting the unknown parameters of proton exchange membrane fuel cell (PEMFC)
models accurately is vital to design, control, and simulate the actual PEMFC. In order to …