Fault Identification on a Fuel Cell by 3-D Current Density Reconstruction From External Magnetic Field Measurements

Lyes Ifrek (1, 2) , Olivier Chadebec (1, 2) , Sebastien Rosini (3) , Gilles Cauffet (1, 2) , Yann Bultel (4) , Bertrand Bannwarth (1, 2)

1 G2ELab - Laboratoire de Génie Electrique de Grenoble
2 G2Elab-MAGE - G2Elab-Modèles, Méthodes et Méthodologies Appliqués au Génie Electrique
3 LITEN - Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux
4 EIP - Electrochimie Interfaciale et Procédés

An original approach of fuel cell diagnosis is presented. It is based on the solving of an inverse linear problem linking the magn e tic field signature outside of the fuel cell to the current density distribution inside. The searched solution is a linear combination of conservative current distribution obtained by a set of electrokinetic problems solved by a finite face element method. As the problem is ill-posed, the solution is stabilized using a truncated singular value decomposition. The approach is validated to reconstruct a 3D current density distribution in a stack simulator and in a fuel cell stack operating in laboratory conditions. Index Terms-Fuel cell, non-invasive diagnosis, current density identification, magnetic measurements, inverse problem.

Domaines: Energie électrique

Lyes Ifrek, Olivier Chadebec, Sebastien Rosini, Gilles Cauffet, Yann Bultel, et al.. Fault Identification on a Fuel Cell by 3-D Current Density Reconstruction From External Magnetic Field Measurements. IEEE Transactions on Magnetics, 2019, 55 (6), pp.6200705. ⟨10.1109/TMAG.2019.2895755⟩. ⟨hal-02350903⟩