Fault Analysis of the PEMFC by Using 3D Temperature Fault Sensitive Model for Automotive Applications

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In recent years, the fault diagnosis in the Proton Exchange Membrane Fuel Cell (PEMFC) has become a challenging issue in increasing performance, stability and reliability of Fuel Cell Electric Vehicle (FCEV). The main purpose of this paper is the evaluation of fault cells in a stack PEMFC resulted for three dimensional temperature validations. A 3D fault sensitive model is developed. Fault classification using K-Nearest Neighbor (K-NN) method has also been implemented. The Ballard PEMFC has been tested experimentally to check the validity of the proposed models.
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K-Nearest Neighbor (K-NN) method; Polymer Exchange Membrane Fuel Cell; Operating Conditions; Isolating fault; Newton-Raphson Method

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