Real-Time Estimation of PEMFC Parameters Using a Continuous-Discrete Extended Kalman Filter Derived from a Pseudo Two-Dimensional Model

Yasser Diab, Francois Auger, Emmanuel Schaeffer, Stéphane Chevalier and Adib Allahham
Additional contact information
Yasser Diab: Institut de Recherche en Énergie Électrique de Nantes Atlantique (IREENA, UR 4642), Nantes Université, Centre de Recherche et de Transfert de Technologie (CRTT), 37 Bd de l’Université, B.P. 406, CEDEX, 44602 Saint Nazaire, France
Francois Auger: Institut de Recherche en Énergie Électrique de Nantes Atlantique (IREENA, UR 4642), Nantes Université, Centre de Recherche et de Transfert de Technologie (CRTT), 37 Bd de l’Université, B.P. 406, CEDEX, 44602 Saint Nazaire, France
Emmanuel Schaeffer: Institut de Recherche en Énergie Électrique de Nantes Atlantique (IREENA, UR 4642), Nantes Université, Centre de Recherche et de Transfert de Technologie (CRTT), 37 Bd de l’Université, B.P. 406, CEDEX, 44602 Saint Nazaire, France
Stéphane Chevalier: Arts et Métiers Institute of Technology, I2M UMR CNRS 5295, Bordeaux University, Bâtiment A11, 351 Cours de la Libération, CEDEX, 33405 Talence, France
Adib Allahham: Urban Sciences Building, Newcastle University, Newcastle upon Tyne NE4 5TG, UK

Energies, 2022, vol. 15, issue 7, 1-23

Abstract: Proton Exchange Membrane Fuel Cells (PEMFCs) are clean energy conversion devices that are widely used in various energy applications. In most applications, the main challenge is accurately estimating the state of health (SoH) of the PEMFCs during dynamic operating conditions. Moreover, their behavior is affected by numerous physical phenomena such as heat and membrane flooding. This paper proposes the design of an observer to estimate the PEMFC parameters. A state-space model is first built from 2D physical equations solved by a finite difference in a discretized space domain. The discretized dynamic model is then used to design an observer based on the continuous-discrete extended Kalman filter. The observer has been validated experimentally and is used to estimate the parameters of a PEMFC under dynamic operating conditions. For several load variations, the results obtained using the proposed observer accurately characterize the dynamic responses of PEMFC in real-time.

Keywords: PEMFC parameters; discretized dynamic model; dynamic operating conditions; extended Kalman filter; real-time estimation; state of health (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/7/2337/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/7/2337/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:7:p:2337-:d:777655

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().