Experimental analysis of dynamic characteristics on the PEM fuel cell stack by using Taguchi approach with neural networks

International Journal of Hydrogen Energy

Volumn 35, Issue 20, 2010, Pages 11138-11147

  Yu, Wei Lung ^a   Wu, Sheng Ju ^b   Shiah, Sheau Wen ^b  

^a Army Academy   (Taiwan)

^b NATIONAL DEFENSE UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Dynamic characteristics; Proton exchange membrane fuel cell stack; Robust parameter design

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CATHODE HUMIDIFICATION TEMPERATURE; CONTROL FACTORS; DISCRETE PARAMETERS; DYNAMIC CHARACTERISTICS; ELECTRIC POWER; ELECTRIC POWER OUTPUT; EXPERIMENTAL ANALYSIS; HUMIDIFICATION TEMPERATURE; OPERATING PARAMETERS; OPERATING PRESSURE; OPERATING TEMPERATURE; PEM FUEL CELL STACK; PEMFC STACK; POWER DENSITIES; POWER STABILITY; PROTON EXCHANGE MEMBRANE FUEL CELL STACK; PROTON EXCHANGE MEMBRANE FUEL CELL STACKS; REACTANT FLOW-RATES; ROBUST PARAMETER DESIGN; SINGLE CELLS; SMALL VARIATIONS; TAGUCHI APPROACH; VOLTAGE SHIFT;

DESIGN; DYNAMIC ANALYSIS; MEMBRANES; NEURAL NETWORKS; PROTONS; TAGUCHI METHODS; TEMPERATURE;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 77957368476     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2010.07.007     Document Type: Article

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