[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 …
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 …
[HTML][HTML] Application of machine learning in optimizing proton exchange membrane fuel cells: a review
R Ding, S Zhang, Y Chen, Z Rui, K Hua, Y Wu, X Li… - Energy and AI, 2022 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …
hydrogen energy are crucial for achieving an eco-friendly society, but their cost and …
Modeling and temperature control of a water-cooled PEMFC system using intelligent algorithms
JH Chen, P He, SJ Cai, ZH He, HN Zhu, ZY Yu… - Applied Energy, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is the most promising future energy source
owing to its low operating temperature, high energy efficiency, high power density, and …
owing to its low operating temperature, high energy efficiency, high power density, and …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
[HTML][HTML] Machine learning modeling for proton exchange membrane fuel cell performance
Proton exchange membrane fuel cell (PEMFC) is considered essential for climate change
mitigation, and a fast and accurate model is necessary for its control and operation in …
mitigation, and a fast and accurate model is necessary for its control and operation in …
Review on hydrogen fuel cell condition monitoring and prediction methods
RH Lin, XN **, PN Wang, BD Wu, SM Tian - International Journal of …, 2019 - Elsevier
A hydrogen fuel cell combines oxygen and hydrogen to generate electricity, which becomes
a promising power source. The conditions of the fuel cell, such as health status, and faults …
a promising power source. The conditions of the fuel cell, such as health status, and faults …
An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of …
C Zhang, H Hu, J Ji, K Liu, X **a, MS Nazir, T Peng - Applied Energy, 2023 - Elsevier
Accurate prediction of the future degradation trend (FDT) and remaining useful life (RUL) of
proton exchange membrane fuel cell (PEMFC) is crucial in the prognosis and health …
proton exchange membrane fuel cell (PEMFC) is crucial in the prognosis and health …
Polymer electrolyte membrane fuel cells degradation prediction using multi-kernel relevance vector regression and whale optimization algorithm
Degradation and cost are the main factors affecting the commercial applications of Polymer
Electrolyte Membrane Fuel Cells (PEMFC). This paper proposes a novel degradation …
Electrolyte Membrane Fuel Cells (PEMFC). This paper proposes a novel degradation …
Fullerene applications in fuel cells: A review
High-area carbon particles are regularly used as catalyst supports in fuel cells electrodes.
The carbon material used as support has a strong influence on the properties of supported …
The carbon material used as support has a strong influence on the properties of supported …