Fuel Cells Remaining Useful Life Real-Time Estimation Using an Extended Kalman Filter in a Hardware In The Loop Platform
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Fuel Cells Remaining Useful Life Real-Time Estimation Using an Extended Kalman Filter in a Hardware In The Loop Platform |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Cherragui H., Bressel M., Hilairet M., Giurgea S. |
| Conference Name | 2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) |
| Publisher | IEEE; Alstom; Sonceboz; Femto st Sci & Technologies; FC Lab Res; IEEE VTS; Megevh; Univ Bourgogne Franche Comte; Univ Franche Comte; Univ Technologie Belfort Montbeliard; IUT Belfort Montbeliard; UFR STGI; Univ Technologie Belfort Montbeliard, Departement |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-1317-7 |
| Mots-clés | Extended Kalman filter, FPGA, Fuel cell, Hardware In The Loop, real-time estimation, Remaining useful life, State of Health |
| Résumé | Proton Exchange Membrane Fuel Cell is a promising clean and efficient energy converter, but suffers from a limited lifespan due to degradation mechanisms. Therefore, researches have been conducted to estimate the State of Health and the Remaining Useful Life. In this paper, a real-time Extended Kalman Filter estimates on-line the State of Health and the Remaining Useful Life, where the algorithms are validated on a Hardware In the Loop platform. |