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 …
Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient …
X Sun, J Fu - Energy, 2024 - Elsevier
In this study, extensive efforts have been devoted to optimizing the energy distribution and
performance of a battery electric vehicle (BEV). An integrated simulation model based on …
performance of a battery electric vehicle (BEV). An integrated simulation model based on …
A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism
Proton exchange membrane fuel cell (PEMFC) is a highly promising renewable energy
conversion technology. However, durability issues have hindered their large-scale …
conversion technology. However, durability issues have hindered their large-scale …
Research progress on aging prediction methods for fuel cells: mechanism, methods, and evaluation criteria
Z Tian, Z Wei, J Wang, Y Wang, Y Lei, P Hu… - Energies, 2023 - mdpi.com
Due to the non-renewable nature and pollution associated with fossil fuels, there is
widespread research into alternative energy sources. As a novel energy device, a proton …
widespread research into alternative energy sources. As a novel energy device, a proton …
Performance prediction of the centrifugal air compressor for fuel cells considering degradation characteristics based on the hierarchical evolutionary model
H Bao, J Fu, X Sun, C Sun, J Kuang, X Wang… - Thermal Science and …, 2023 - Elsevier
The performance of the centrifugal air compressor is closely related to the efficiency and
energy density of the fuel cell system, and extensive work has been done in this study to …
energy density of the fuel cell system, and extensive work has been done in this study to …
Multi-parameter optimization for the performance of the fuel cell air compressor based on computational fluid dynamics analysis at part load
J Fu, H Wang, H Bao, X Sun, J Liu - Thermal Science and Engineering …, 2023 - Elsevier
As one of the critical components of fuel cell systems, the air compressor plays a key role in
the system efficiency and overall performance of fuel cells. In order to improve the …
the system efficiency and overall performance of fuel cells. In order to improve the …
A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning
Abstract Precise prediction of Remaining Useful Life (RUL) within the transportation industry
is essential for cost reduction and enhanced energy efficiency, focusing on extending the …
is essential for cost reduction and enhanced energy efficiency, focusing on extending the …
[HTML][HTML] Accuracy improvement of fuel cell prognostics based on voltage prediction
C Liu, J Shen, Z Dong, Q He, X Zhao - International Journal of Hydrogen …, 2024 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is a promising hydrogen technique with
various application prospects. However, all the PEMFCs are subject to degradation resulting …
various application prospects. However, all the PEMFCs are subject to degradation resulting …
Two-phase flow characteristic and gas removal strategy of the paper-based microfluidic fuel cell
T Ouyang, X Tan, R Yan, X Xie, L Liang - Energy Conversion and …, 2024 - Elsevier
Paper-based microfluidic fuel cell powered by capillary force has the advantages of
compactness, low cost, and high sensitivity, presenting broad application prospects in …
compactness, low cost, and high sensitivity, presenting broad application prospects in …
Towards Reliable Prediction of Performance for Polymer Electrolyte Membrane Fuel Cells via Machine Learning-Integrated Hybrid Numerical Simulations
For mitigating global warming, polymer electrolyte membrane fuel cells have become
promising, clean, and sustainable alternatives to existing energy sources. To increase the …
promising, clean, and sustainable alternatives to existing energy sources. To increase the …