Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles
The transportation sector consumes a large amount of fossil fuels consequently
exacerbating the global environmental and energy crisis. Fuel‐cell hybrid electric vehicles …
exacerbating the global environmental and energy crisis. Fuel‐cell hybrid electric vehicles …
Recent advances and summarization of fault diagnosis techniques for proton exchange membrane fuel cell systems: A critical overview
J Wang, B Yang, C Zeng, Y Chen, Z Guo, D Li… - Journal of Power …, 2021 - Elsevier
With soaring growth in the utilization of proton exchange membrane fuel cell (PEMFC)
systems on various applications, researches on fault diagnosis techniques of PEMFC …
systems on various applications, researches on fault diagnosis techniques of PEMFC …
An enhanced fault diagnosis method for fuel cell system using a kernel extreme learning machine optimized with improved sparrow search algorithm
R Quan, W Liang, J Wang, X Li, Y Chang - International Journal of …, 2024 - Elsevier
Proton exchange membrane fuel cells (PEMFC) have a broad development prospect in the
fields of vehicles, drones and ships due to their high efficiency and cleanliness. However …
fields of vehicles, drones and ships due to their high efficiency and cleanliness. However …
Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies
B Zuo, Z Zhang, J Cheng, W Huo, Z Zhong… - Energy Conversion and …, 2022 - Elsevier
Effective and accurate diagnostic methods are necessary to ensure the stable and efficient
operation of proton exchange membrane fuel cells (PEMFC). In practice, the voltage drop is …
operation of proton exchange membrane fuel cells (PEMFC). In practice, the voltage drop is …
Data-driven fault diagnosis for PEMFC systems of hybrid tram based on deep learning
X Zhang, J Zhou, W Chen - International Journal of Hydrogen Energy, 2020 - Elsevier
The running state of the hybrid tram and the service life of fuel cell stacks are related to the
fault diagnosis strategy of the proton exchange membrane fuel cell (PEMFC) system. In …
fault diagnosis strategy of the proton exchange membrane fuel cell (PEMFC) system. In …
[HTML][HTML] Cross-domain diagnosis for polymer electrolyte membrane fuel cell based on digital twins and transfer learning network✰
Existing research on fault diagnosis for polymer electrolyte membrane fuel cells (PEMFC)
has advanced significantly, yet performance is hindered by variations in data distributions …
has advanced significantly, yet performance is hindered by variations in data distributions …
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 …
Model-based fault tolerant control for the thermal management of PEMFC systems
Proton exchange membrane fuel cells (PEMFCs) are considered as one of the most
promising power sources for transportation in the near future. Proper and robust thermal …
promising power sources for transportation in the near future. Proper and robust thermal …
Fault diagnosis of proton exchange membrane fuel cell system of tram based on information fusion and deep learning
X Zhang, X Guo - international journal of hydrogen energy, 2021 - Elsevier
The reliability of fuel cell tram depends largely on the normal operation of on-board proton
exchange membrane fuel cell (PEMFC) system. Therefore, timely and accurate fault …
exchange membrane fuel cell (PEMFC) system. Therefore, timely and accurate fault …
Fault diagnosis method for proton exchange membrane fuel cell system based on digital twin and unsupervised domain adaptive learning
In recent years, supervised deep learning-based methods have achieved significant results
in fuel cell system fault diagnosis. However, most existing deep learning-based fault …
in fuel cell system fault diagnosis. However, most existing deep learning-based fault …