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

Author:

Chen YangengORCID,Zhang JingjingORCID,Zhai Shuang,Hu Zhe

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference27 articles.

1. Fuel cell technologies office multi-year research, development, and demonstration plan - section 3.4 fuel cells. 2017; www.energy.gov/sites//prod/files/2017/05/f34/fcto_myrdd_fuel_cells.pdf (accessed July 21, 2023).

2. DOE. Hydrogen and fuel cells program record 19006: hydrogen class 8 long haul truck targets. 2019; https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf (accessed July 21, 2023).

3. Online fault diagnosis for open-cathode PEMFC systems based on output voltage measurements and data-driven method;Ma;IEEE Trans Transp Electrification,2022

4. A review of fault tolerant control strategies applied to proton exchange membrane fuel cell systems;Dijoux;J Power Sources,2017

5. Model based insulation fault diagnosis for lithium-ion battery pack in electric vehicles;Wang;Measurement,2019

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