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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 …
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 …
Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network
B Sun, X Liu, J Wang, X Wei, H Yuan, H Dai - International journal of …, 2023 - Elsevier
Short-term performance degradation prediction is significant for fuel cell system control and
health management. This paper presents a hybrid deep learning method by combining the …
health management. This paper presents a hybrid deep learning method by combining the …
Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …
the advancements in conventional vehicles that primarily use internal combustion engines …
[HTML][HTML] Health management review for fuel cells: Focus on action phase
Proton exchange membrane fuel cells offer a sustainable solution to electrical power
generation and combined power and heat applications, even if they still encounter durability …
generation and combined power and heat applications, even if they still encounter durability …
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …
Optimization of PEMFC system operating conditions based on neural network and PSO to achieve the best system performance
J Tan, H Hu, S Liu, C Chen, D Xuan - International Journal of Hydrogen …, 2022 - Elsevier
PEMFC system is a complex new clean power system. Based on MATLAB/Simulink, this
paper develops a system-level dynamic model of PEMFC, including the gas supply system …
paper develops a system-level dynamic model of PEMFC, including the gas supply system …
The degradation prediction of proton exchange membrane fuel cell performance based on a transformer model
Proton exchange membrane fuel cells have attracted widespread attention due to their
cleanliness and high energy density, but the performance degradation during operation …
cleanliness and high energy density, but the performance degradation during operation …
Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells
Fuel cells have been regarded as promising power sources for cleaner energy production.
Despite their high theoretical efficiency, fuel cells are still challenged with their durability …
Despite their high theoretical efficiency, fuel cells are still challenged with their durability …
Fuel cell life prediction considering the recovery phenomenon of reversible voltage loss
A major limiting factor for the commercialization of proton exchange membrane fuel cells is
their short lifespan. Prognostic and health management technology predicts performance …
their short lifespan. Prognostic and health management technology predicts performance …