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 …
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 …
[HTML][HTML] Continuous maintenance and the future–Foundations and technological challenges
High value and long life products require continuous maintenance throughout their life cycle
to achieve required performance with optimum through-life cost. This paper presents …
to achieve required performance with optimum through-life cost. This paper presents …
Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks
J Liu, Q Li, W Chen, Y Yan, Y Qiu, T Cao - International Journal of …, 2019 - Elsevier
To solve the prediction problem of proton exchange membrane fuel cell (PEMFC) remaining
useful life (RUL), a novel RUL prediction approach of PEMFC based on long short-term …
useful life (RUL), a novel RUL prediction approach of PEMFC based on long short-term …
[HTML][HTML] A review of physics-based and data-driven models for real-time control of polymer electrolyte membrane fuel cells
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 …
requires a computationally efficient and sufficiently accurate model to predict the transient …
A review on prognostics and health monitoring of proton exchange membrane fuel cell
Fuel cell technology can be traced back to 1839 when British scientist Sir William Grove
discovered that it was possible to generate electricity by the reaction between hydrogen and …
discovered that it was possible to generate electricity by the reaction between hydrogen and …
Remaining useful life prediction of PEMFC systems based on the multi-input echo state network
The limited durability is one of the key barriers of Proton Exchange Membrane Fuel Cell
(PEMFC) to large-scale commercial applications. The data-driven prognostic method aims to …
(PEMFC) to large-scale commercial applications. The data-driven prognostic method aims to …
Degradation prediction of proton exchange membrane fuel cell based on grey neural network model and particle swarm optimization
The degradation prediction is an effective tool for the long-lasting operation of the proton
exchange membrane fuel cells (PEMFC). In this paper, a novel grey neural network model …
exchange membrane fuel cells (PEMFC). In this paper, a novel grey neural network model …
A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell
Abstract Proton Exchange Membrane Fuel Cell (PEMFC) has become a promising power
source with wide applications to many electronic and electrical devices. However, even if it …
source with wide applications to many electronic and electrical devices. However, even if it …