New magnetic field analyzer device dedicated for polymer electrolyte fuel cells noninvasive diagnostic

Inside the Fuel Cell, the magnetic field distribution can indicate normal or abnormal operation and therefore provides an effective diagnosis approach. The magnetotomography is the only noninvasive current density mapping method and is based on the measurement of the external magnetic field of the f...

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Bibliographic Details
Published in:International journal of hydrogen energy 2020-05, Vol.45 (27), p.14071-14082
Main Authors: Plait, A., Giurgea, S., Hissel, D., Espanet, C.
Format: Article
Language:English
Subjects:
Automatic
Electric power
Engineering Sciences
FEM model
Fluid mechanics
Fuel cell diagnosis
High permeability circuit
Magnetic sensors
Mechanics
Physics
Thermics
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Summary:Inside the Fuel Cell, the magnetic field distribution can indicate normal or abnormal operation and therefore provides an effective diagnosis approach. The magnetotomography is the only noninvasive current density mapping method and is based on the measurement of the external magnetic field of the fuel cell stack. The present work addresses the development of a new magnetic field analyzer device devoted to assess the current density distribution inside the Fuel Cell, within the surrounding external magnetic field. The proposed magnetic field analyzer associates magnetic sensors with a ferromagnetic circuit, which is essentially different in comparison with other methodologies proposed until now. Providing a higher magnetic field variation at the level of magnetic sensors, this new approach enables a more accurate analysis of the current distribution inside the Fuel Cell. This study considers the Proton Exchange Membrane Fuel Cell case. •New magnetic field analyzer to assess current density distribution inside Fuel Cell.•Provide a higher magnetic field variation at the level of magnetic sensors.•Magnetic field simulation and measurements show higher sensitivity to conduction faults.•Measurements give important information about the current density distribution.
ISSN:0360-3199
1879-3487
DOI:10.1016/j.ijhydene.2020.03.082