Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Hydrogen fuel cell electric vehicles (HFCEVs) are gaining revived attention due to the
HFCEVs promising potential as important syndicates to net zero carbon emission …
HFCEVs promising potential as important syndicates to net zero carbon emission …
Machine learning as an online diagnostic tool for proton exchange membrane fuel cells
Proton exchange membrane fuel cells are considered a promising power supply system with
high efficiency and zero emissions. They typically work within a relatively narrow range of …
high efficiency and zero emissions. They typically work within a relatively narrow range of …
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 …
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 …
[HTML][HTML] Methodology for energy management strategies design based on predictive control techniques for smart grids
This article focuses on the development of a general energy management system (EMS)
design methodology using on model-based predictive control (MPC) for the control and …
design methodology using on model-based predictive control (MPC) for the control and …
On-line fault diagnosis for proton exchange membrane fuel cells based on a fast electrochemical impedance spectroscopy measurement
In this paper, an on-line fault diagnosis method for proton exchange membrane fuel cells is
proposed based on a fast electrochemical impedance spectroscopy measurement …
proposed based on a fast electrochemical impedance spectroscopy measurement …
Approaches to avoid flooding in association with pressure drop in proton exchange membrane fuel cells
The cathodic pressure drop (PD) of proton exchange membrane fuel cell (PEMFC) can be
used to conduct water management as it can perceive the water amount interior the fuel cell …
used to conduct water management as it can perceive the water amount interior the fuel cell …
Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control
Nowadays, the energy management of multisource hybrid systems is becoming an
interesting and challenging topic for many researchers. The judicious choice of the energy …
interesting and challenging topic for many researchers. The judicious choice of the energy …
A discrete hidden Markov model fault diagnosis strategy based on K-means clustering dedicated to PEM fuel cell systems of tramways
J Liu, Q Li, W Chen, T Cao - International Journal of Hydrogen Energy, 2018 - Elsevier
To solve the fault classification problems of fuel cell (FC) various health states for tramways,
a discrete hidden Markov model (DHMM) fault diagnosis strategy based on K-means …
a discrete hidden Markov model (DHMM) fault diagnosis strategy based on K-means …
Fuel cell diagnosis methods for embedded automotive applications
Fuel cell durability being one of the technical bolts regarding the technology industrialization
in the automotive sector, durability improvement methods are particularly relevant. Fault …
in the automotive sector, durability improvement methods are particularly relevant. Fault …