A Data-Based Prognostic Technique of a Proton Exchange Membrane Fuel Cell Applying Dynamic Load Cycle-Reference-Cited by-同舟云学术

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A Data-Based Prognostic Technique of a Proton Exchange Membrane Fuel Cell Applying Dynamic Load Cycle

Published:2023-10-24 Issue: Volume:35 Page:01-06
ISSN:
Container-title:2023 IEEE Vehicle Power and Propulsion Conference (VPPC)
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Author:

Perez Luis¹,Ravey Alexandre²,Solano Javier³,Boulon Loïc⁴,Jemei Samir⁵

Affiliation:

1. Université de Franche-Comté, FEMTO-ST Institute, FCLAB, CNRS,Belfort,France

2. CNRS, institut FEMTO-ST UTBM,Belfort,France

3. European Institute for Energy Research (EIFER),Karlsruhe,Germany

4. Hydrogen Research Institute, Université Du Québec a Trois-Rivières,Trois-Rivières,Canada

5. FEMTO-ST Institute, FCLAB, CNRS, Université de Franche-Comté,Belfort,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10403113/10403114/10403161.pdf?arnumber=10403161

Reference18 articles.

1. Towards hydrogen definitions based on their emissions intensity,2023

2. Towards health-aware energy management strategies in fuel cell hybrid electric vehicles: A review

3. Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review

4. Proton Exchange Membrane Fuel Cell Signal-Based Diagnostics Using Empirical Fourier Transform

5. Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells

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