Fuel Cells Remaining Useful Lifetime forecasting using Echo State Network
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Fuel Cells Remaining Useful Lifetime forecasting using Echo State Network |
| Type de publication | Conference Paper |
| Year of Publication | 2014 |
| Auteurs | Morando S., Jemei S., Gouriveau R., Zerhouni N., Hissel D. |
| Conference Name | 2014 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) |
| Publisher | VTS; INESC; UNIV DE COIMBRA; POLITECNICO DE COIMBRA; ISEC ENGENHARIA; IEEE Power & Energy; EPE; MEGEVH; Associacao Portuguesa do Velculo Elect; SEW EURODRIVE; OPAL RT; efacec |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-4799-6782-7 |
| Mots-clés | PEMFC, Prognostics and health Management, Reservoir computing |
| Résumé | The Hydrogen energy vector is one of the possible solutions to overcome future energy crisis announced by the International Energy Agency. However, various bottleneck, whether technological or societal, slow the industrial interest for this technology and therefore the mass production of fuel cells. Among these locks that may be mentioned one relating to the still limited useful lifetime of the fuel cells. To improve this lifetime, one of the existing approaches is to use the discipline of PHM (for Prognostics and Health Management). This discipline aims to improve the efficiency of control and maintenance operations on the system by using diagnostic or prognostics algorithms. This article covers the prognostics aspect of PHM applied to a PEMFC using an algorithm based on a tool from the reservoir computing discipline to predict the Remaining Useful Lifetime. |