Catalyst Development for High‐Temperature Polymer Electrolyte Membrane Fuel Cell (HT‐PEMFC) Applications
N Seselj, SM Alfaro, E Bompolaki… - Advanced …, 2023 - Wiley Online Library
A constant increase in global emission standard is causing fuel cell (FC) technology to gain
importance. Over the last two decades, a great deal of research has been focused on …
importance. Over the last two decades, a great deal of research has been focused on …
Powering the future: progress and hurdles in develo** proton exchange membrane fuel cell components to achieve department of energy goals—a systematic …
This comprehensive review explores recent developments in Proton Exchange Membrane
Fuel Cells (PEMFCs) and evaluates their alignment with the ambitious targets established …
Fuel Cells (PEMFCs) and evaluates their alignment with the ambitious targets established …
A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism
Proton exchange membrane fuel cell (PEMFC) is a highly promising renewable energy
conversion technology. However, durability issues have hindered their large-scale …
conversion technology. However, durability issues have hindered their large-scale …
A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
The performance of proton exchange membrane fuel cells (PEMFCs) will gradually
deteriorate during long-term operation. Accurate performance degradation prediction is …
deteriorate during long-term operation. Accurate performance degradation prediction is …
Proton exchange membrane fuel cell model parameters identification using Chaotically based-bonobo optimizer
Proton exchange membrane fuel cells (PEMFCs) have been considered the focus of study
for energy conversion in various fields including the automobile sector. Nevertheless …
for energy conversion in various fields including the automobile sector. Nevertheless …
[HTML][HTML] Deep learning-based state-of-health estimation of proton-exchange membrane fuel cells under dynamic operation conditions
Y Zhang, X Tang, S Xu, C Sun - Sensors, 2024 - mdpi.com
Proton-exchange membrane fuel cells (PEMFCs) play a crucial role in the transition to
sustainable energy systems. Accurately estimating the state of health (SOH) of PEMFCs …
sustainable energy systems. Accurately estimating the state of health (SOH) of PEMFCs …
Microwave heating of biomass waste residues for sustainable bioenergy and biomass materials preparation: A parametric simulation study
B Li, X Fan, S Yu, H **a, Y Nong, J Bian, M Sun, W Zi - Energy, 2023 - Elsevier
Sustainable bioenergy and biomass materials preparation from biomass waste residues
using microwave heating has attracted widespread attention. However, the microwave …
using microwave heating has attracted widespread attention. However, the microwave …
Investigation of nonlinear accelerated degradation mechanism in fuel cell stack under dynamic driving cycles from polarization processes
X Zhang, L Huang, Y Jiang, L Lin, H Liao, W Liu - Applied Energy, 2024 - Elsevier
The nonlinear accelerated degradation severely limits the lifetime of fuel cells. This paper
presents a comprehensive analysis of polarization processes during accelerated …
presents a comprehensive analysis of polarization processes during accelerated …
Segmentation of two-phase flow X-ray tomography images to determine contact angle using deep autoencoders
This study improves the characterization of in situ contact angles in porous media by
employing deep learning techniques (SegNet, UNet, ResNet, and UResNet) for multiphase …
employing deep learning techniques (SegNet, UNet, ResNet, and UResNet) for multiphase …
Performance degradation prediction method of PEM fuel cells using bidirectional long short-term memory neural network based on Bayesian optimization
Proton exchange membrane (PEM) fuel cell is the core equipment that can directly convert
hydrogen energy into electricity. In the process of long-term operation, due to the aging of …
hydrogen energy into electricity. In the process of long-term operation, due to the aging of …