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 …
Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review
Prognostics is a promising solution to the short lifetime and high-cost bottlenecks of proton
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …
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 …
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 …
Remaining useful life prediction of PEMFC systems under dynamic operating conditions
Abstract The Prognostic and Health Management (PHM) has been developed for more than
two decades. It is capable to anticipate the impending failures and make decisions in …
two decades. It is capable to anticipate the impending failures and make decisions in …
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 …
Review on hydrogen fuel cell condition monitoring and prediction methods
RH Lin, XN Xi, 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 …
Degradation model of proton exchange membrane fuel cell based on a novel hybrid method
This paper proposes a new hybrid degradation model of Proton Exchange Membrane Fuel
Cell (PEMFC) used in Fuel Cell Electric Vehicle (FCEV) operating under real conditions …
Cell (PEMFC) used in Fuel Cell Electric Vehicle (FCEV) operating under real conditions …
Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs
The electrical load forecasting is a fundamental technique for consumer load prediction for
utilities. The accurate load forecasting is crucial to design Demand Response (DR) …
utilities. The accurate load forecasting is crucial to design Demand Response (DR) …