Model optimization of a high-power commercial PEMFC system via an improved grey wolf optimization method

H Zhou, X Wu, Y Li, Z Fan, W Chen, J Mao, P Deng… - Fuel, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) models are conventionally established with a
set of parameters identified under steady-state operating conditions. However, such an …

The effect of cathode channel blockages on the enhanced mass transfer and performance of PEMFC

Y Cai, D Wu, J Sun, B Chen - Energy, 2021 - Elsevier
The design of flow field has a great influence on the mass transfer and performance of
PEMFC (proton exchange membrane fuel cell) and lots of research works focus on this area …

A review on mass transfer in multiscale porous media in proton exchange membrane fuel cells: mechanism, modeling, and parameter identification

F Yang, X Xu, Y Li, D Chen, S Hu, Z He, Y Du - Energies, 2023 - mdpi.com
Proton exchange membrane fuel cells (PEMFC) are a promising clean power source that
can be used in a variety of applications such as automobiles, stationary power plants, and …

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 …

PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation

M Ćalasan, M Micev, HM Hasanien, SHEA Aleem - Energy, 2024 - Elsevier
Abstract Proton Exchange Membrane Fuel Cells (PEMFCs) voltage-current characteristics
are typically employed in PEMFC modeling and parameter estimation. The inverse current …

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 …

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) …

Efficient PEM fuel cells parameters identification using hybrid artificial bee colony differential evolution optimizer

O Hachana, AA El-Fergany - Energy, 2022 - Elsevier
On the bases of meta-heuristic optimizers and experimental datasets, the parameter
extraction of the proton exchange membrane fuel cells (PEMFCs) model to reach accurate …

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 …

[HTML][HTML] Operating conditions combination analysis method of optimal water management state for PEM fuel cell

W Wan, Y Yang, Y Li, C **e, J Song, Z Deng… - Green Energy and …, 2023 - Elsevier
The water content of proton exchange membrane fuel cells (PEMFCs) affects the transport of
reactants and the conductivity of the membrane. Effective water management measures can …