State-of-health diagnosis based on hamming neural network using output voltage pattern recognition for a PEM fuel cell

International Journal of Hydrogen Energy

Volumn 37, Issue 5, 2012, Pages 4280-4289

  Kim, Jonghoon ^a   Lee, Inhae ^b   Tak, Yongsug ^b   Cho, B H ^a  

^a Seoul National University   (South Korea)

^b Inha University   (South Korea)

Author keywords

Hamming neural network; Pattern recognition; Polymer electrolyte membrane (PEM) fuel cell; State of health (SOH)

Indexed keywords

FUEL CELL MODEL; MODEL PARAMETERS; OUTPUT VOLTAGES; PARAMETER MEASUREMENT; PEM FUEL CELL; POLYMER ELECTROLYTE MEMBRANE (PEM) FUEL CELL; SINGLE CELLS; STATE OF HEALTH;

IDENTIFICATION (CONTROL SYSTEMS); LEAD ACID BATTERIES; NEURAL NETWORKS; PATTERN RECOGNITION; POLYELECTROLYTES; PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

CYTOLOGY;

EID: 84856697110     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2011.11.092     Document Type: Article

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