Pronostics & Health Management of fuel cell systems project (2021)
Data creators :
Simon Morando [1],
Élodie Pahon [2] [3]
Data collector :
Simon Morando [1],
Élodie Pahon [2] [3]
[1] : SYMBIO
[2] : Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174) (Université de technologie de Belfort Montbéliard)
[3] : Fuel Cell Lab (UAR 2200) (Université de technologie de Belfort Montbéliard)
[4] : Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174) (Université de Franche-Comté)
[5] : Fuel Cell Lab (UAR 2200) (Université de Franche-Comté)
[6] : Kipers Industries
Description :
The PHM-PAC project is mainly aimed at developing intelligent methods for the detection, diagnosis and prognosis of fuel cell failures. This project should allow the optimization of the performance of fuel cell systems as well as a better understanding of the electrochemical phenomena affecting the durability.
Disciplines :
electrochemistry (chemistry), energy & fuels (engineering science), engineering, electrical & electronic (engineering science)
Keywords :
Access details :
To access the data, please contact the scientific data manager.
General metadata
Data acquisition date :
from 3 Mar 2013 to 31 Dec 2013
Data acquisition methods :
- Experimental data : 2,800 hours of operation at constant load on a 500W proton exchange membrane fuel cell
Formats :
application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/tab-separated-values
Audience :
University: licence, University: master, Research
Publications :
- Estimating the end-of-life of PEM fuel cells: Guidelines and metrics (doi:10.1016/j.apenergy.2016.05.076)
- Proton exchange membrane fuel cell ageing forecasting algorithm based on Echo State Network (doi:10.1016/j.ijhydene.2016.05.286)
Collection :
Publisher :
Fuel Cell Lab (UAR 2200)
Project and funder :
- PHM PAC
- Région Bourgogne Franche-Comté (Region Bourgogne Franche-Comté)
Record created 19 Jul 2021 by Élodie Pahon.
Last modification : 29 Mar 2024.
Local identifier: FR-18008901306731-2021-07-19-02.
