Journal
APPLIED ENERGY
Volume 164, Issue -, Pages 284-293Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2015.11.060
Keywords
PEMFC system; Fault diagnosis; SVM classification; System in Package; Online implementation
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In this paper, the topic of online diagnosis for Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems is addressed. In the diagnosis approach, individual cell voltages are used as the variables for diagnosis. The pattern classification tool Support Vector Machine (SVM) combined with designed diagnosis rule is used to achieve fault detection and isolation (FDI). A highly-compacted embedded system of the System in Package (SiP) type is designed and fabricated to monitor individual cell voltages and to perform the diagnosis algorithms. For validation, the diagnosis approach is implemented online on PEMFC experimental platform. Four concerned faults can be detected and isolated in real-time. (C) 2015 Elsevier Ltd. All rights reserved.
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