Data-driven modeling and fault diagnosis for fuel cell vehicles using deep learning

Data-driven modeling and fault diagnosis for fuel cell vehicles using deep learning

The reliability and safety of fuel cell vehicle are crucial for the daily operation. Insulation resistance serves as a crucial index of vehicle reliability, especially when fuel cells operate at high voltages. Low insulation resistance can lead to vehicle malfunctions, exposing the operator to the r...

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Bibliographic Details
Main Authors:	Yangeng Chen, Jingjing Zhang, Shuang Zhai, Zhe Hu
Format:	Article
Language:	English
Published:	Elsevier 2024-05-01
Series:	Energy and AI
Subjects:	Fuel cell vehicles Insulation faults RLOWESS LSTM neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546824000119

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