[HTML][HTML] Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
Polymer electrolyte membrane (PEM) fuel cells are electrochemical devices that directly
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
Degradation mechanisms of proton exchange membrane fuel cell under typical automotive operating conditions
The proton exchange membrane (PEM) fuel cell is an ideal automotive power source with
great potential, owing to its high efficiency and zero emissions. However, the durability and …
great potential, owing to its high efficiency and zero emissions. However, the durability and …
A review on lifetime prediction of proton exchange membrane fuel cells system
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …
power converter device in a wide range of applications, especially in the transportation area …
A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring
W Ming, P Sun, Z Zhang, W Qiu, J Du, X Li… - International Journal of …, 2023 - Elsevier
A fuel cell is a power generation device that directly converts chemical energy into electrical
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …
Data-driven proton exchange membrane fuel cell degradation predication through deep learning method
Proton exchange membrane fuel cells (PEMFCs) is one of the principal candidates to take
part of the worldwide future clean and renewable energy solution. However, fuel cells are …
part of the worldwide future clean and renewable energy solution. However, fuel cells are …
Machine learning toward advanced energy storage devices and systems
Technology advancement demands energy storage devices (ESD) and systems (ESS) with
better performance, longer life, higher reliability, and smarter management strategy …
better performance, longer life, higher reliability, and smarter management strategy …
A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction
Prognostics and health management of proton exchange membrane fuel cell (PEMFC)
systems have driven increasing research attention in recent years as the durability of …
systems have driven increasing research attention in recent years as the durability of …
Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning
W He, T Liu, W Ming, Z Li, J Du, X Li, X Guo… - … and Sustainable Energy …, 2024 - Elsevier
Hydrogen fuel cells are promising power sources that directly transform the chemical energy
produced by the chemical reaction of hydrogen and oxygen into electrical energy. However …
produced by the chemical reaction of hydrogen and oxygen into electrical energy. However …
Performance analysis of a degraded PEM fuel cell stack for hydrogen passenger vehicles based on machine learning algorithms in real driving conditions
Fuel cell degradation is one of the main challenges of hydrogen fuel cell vehicles, which can
be solved by robust prediction techniques like machine learning. In this research, a specific …
be solved by robust prediction techniques like machine learning. In this research, a specific …
Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application
Currently, the larger-scaled commercialization of fuel cell technology is considerably
impeded by the limited durability of fuel cells. Prognostics and health management (PHM) is …
impeded by the limited durability of fuel cells. Prognostics and health management (PHM) is …