Current Distribution Identification in Fuel Cell Stacks From External Magnetic Field Measurements

Mathieu Le Ny (1, 2) , Olivier Chadebec (2) , Gilles Cauffet (2) , Jean-Marc Dedulle (3) , Yann Bultel (1) , Sébastien Rosini (4) , Yannick Fourneron (4) , Patrick Kuo-Peng (5)

1 LEPMI - Laboratoire d'Electrochimie et de Physico-chimie des Matériaux et des Interfaces
2 G2ELab - Laboratoire de Génie Electrique de Grenoble
3 Phelma
4 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
5 GRUCAD - Grupo de concepção e analise de dispositivos eletromagnéticos

This paper presents a new non invasive technique for fuel cell diagnosis. The method relies on the measurements of the magnetic field signature generated by a working fuel cell. Knowing the relationship between currents and magnetic field, it is possible to estimate the current density by solving an inverse problem. This problem being ill-posed, original current and sensors basis are proposed to improve the reconstruction process. The experimental set-up remains simple, based on few fixed sensors and shows a good efficiency.

Mots clés: Current density identification; fuel cell; inverse problems; magnetostatics

Mots clés: magnetostatics; inverse problems; Current density identification; fuel cell

Domaines: Energie électrique

Mathieu Le Ny, Olivier Chadebec, Gilles Cauffet, Jean-Marc Dedulle, Yann Bultel, et al.. Current Distribution Identification in Fuel Cell Stacks From External Magnetic Field Measurements. IEEE Transactions on Magnetics, 2013, 49 (5), pp.1925-1928. ⟨10.1109/TMAG.2013.2239967⟩. ⟨hal-00822690⟩