Structure, property, and performance of catalyst layers in proton exchange membrane fuel cells

J Zhao, H Liu, X Li - Electrochemical Energy Reviews, 2023 - Springer
Catalyst layer (CL) is the core component of proton exchange membrane (PEM) fuel cells,
which determines the performance, durability, and cost. However, difficulties remain for a …

[HTML][HTML] A review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells

J Zhao, X Li, C Shum, J McPhee - Energy and AI, 2021 - Elsevier
The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells
requires a computationally efficient and sufficiently accurate model to predict the transient …

Machine learning-based prediction and optimization of green hydrogen production technologies from water industries for a circular economy

MM Kabir, SK Roy, F Alam, SY Nam, KS Im, L Tijing… - Desalination, 2023 - Elsevier
Currently, there exists a significant number of green hydrogen production (GHP)
technologies based on scaling-up issues (SCUI). Optimal prediction and process …

Model parameter estimation of the PEMFCs using improved barnacles mating optimization algorithm

Z Yang, Q Liu, L Zhang, J Dai, N Razmjooy - Energy, 2020 - Elsevier
In this paper, a new optimal method is proposed to select unknown parameters of the proton
exchange membrane fuel cell (PEMFC) models. The method was based on minimizing the …

[HTML][HTML] Developed coyote optimization algorithm and its application to optimal parameters estimation of PEMFC model

Z Yuan, W Wang, H Wang, A Yildizbasi - Energy Reports, 2020 - Elsevier
In this paper, a new approach has been introduced for optimal parameter estimation of a
proton exchange membrane fuel cell (PEMFC) model. The main purpose is to minimize the …

A new optimum technique for parameter identification of the proton exchange membrane fuel cells based on improved remora optimizer

M Hou, Y Li, F Peng… - Energy Sources, Part A …, 2023 - Taylor & Francis
The present study proposes a new parameter estimation technique for undefined
parameters of proton exchange membrane fuel cell (PEMFC) stack models. To provide an …

[HTML][HTML] Temperature and voltage dynamic control of PEMFC Stack using MPC method

X Chen, Y Fang, Q Liu, L He, Y Zhao, T Huang, Z Wan… - Energy Reports, 2022 - Elsevier
Abstract Proton Exchange Membrane Fuel Cell (PEMFC) is a multi-parameter and strongly
coupled complex system, efficient and smooth operation is beneficial to the efficiency and …

A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm

S Bao, A Ebadi, M Toughani, J Dalle… - International Journal of …, 2020 - Elsevier
In this paper, a circuit-based model of proton exchange membrane fuel cell (PEMFC) is
developed for optimal selection of the model parameters. The optimization is based on using …

Bibliometric analysis of prognostics and health management (PHM) in hydrogen fuel cell engines

L Wang, X Li, P Guo, S Guo, Z Yang, P Pei - International Journal of …, 2022 - Elsevier
Because of its superior cold-start effect and lack of pollution, the proton exchange
membrane fuel cell (PEMFC) engine has gained a lot of interest as the most common …

Investigation of metal foam porosity and wettability on fuel cell water management by Electrochemical Impedance Spectroscopy

X Sun, X Xie, S Wu, Z Liu, X Zhou… - International Journal of …, 2021 - Taylor & Francis
Metal foam, as a potential alternative to conventional flow fields in proton-exchange
membrane fuel cells (PEMFCs), has been adequately proven to possess high gas uniformity …