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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 …
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 …
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
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 …
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
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 …
PEM fuel cells: Two novel approaches for mathematical modeling and parameter estimation
Abstract Proton Exchange Membrane Fuel Cells (PEMFCs) voltage-current characteristics
are typically employed in PEMFC modeling and parameter estimation. The inverse current …
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 …
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
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) …
Efficient PEM fuel cells parameters identification using hybrid artificial bee colony differential evolution optimizer
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 …
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
For proton exchange membrane fuel cells (PEMFCs), accurate physical modeling and
parameter identification play significant roles in simulation and control. To accurately 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 …
reactants and the conductivity of the membrane. Effective water management measures can …