Real-Time Estimation of PEMFC Parameters Using a Continuous-Discrete Extended Kalman Filter Derived from a Pseudo Two-Dimensional Model - Nantes Université Access content directly
Journal Articles Energies Year : 2022

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

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.
Fichier principal
Vignette du fichier
energies-15-02337.pdf (1.38 Mo) Télécharger le fichier
Origin : Publication funded by an institution

Dates and versions

hal-04074631 , version 1 (19-04-2023)

Identifiers

Cite

Yasser Diab, François Auger, Emmanuel Schaeffer, Stéphane Chevalier, Adib Allahham. Real-Time Estimation of PEMFC Parameters Using a Continuous-Discrete Extended Kalman Filter Derived from a Pseudo Two-Dimensional Model. Energies, 2022, 15 (7), pp.2337. ⟨10.3390/en15072337⟩. ⟨hal-04074631⟩
47 View
110 Download

Altmetric

Share

Gmail Facebook X LinkedIn More