TY - GEN
T1 - Hybrid model of fuel cell system using wavelet network and PSO algorithm
AU - Li, Peng
AU - Chen, Jie
AU - Liu, Guoping
AU - Rees, David
AU - Zhang, Juan
PY - 2010
Y1 - 2010
N2 - Fuel cell power system has attracted significant attentions from many researchers. A fuel cell system model, which is accurate and applicable in engineering practice, plays a key role in controller design, fault diagnosis and power management for fuel cell power systems. In this paper, a hybrid model of a Polymer Electrolyte Membrane Fuel Cell (PEMFC) power system is proposed. The hybrid model contains a mechanism submodel and a black-box submodel. The adjustable parameters in the mechanism submodel are optimized using PSO algorithm. The black-box submodel is expressed in NARX form, which is approximated by a wavelet network using the real test data. From practical experiments, it is shown that, the hybrid model acceptably approximates the practical system. This hybrid PEMFC model can be used for mass flow controller design, fault diagnosis and power management.
AB - Fuel cell power system has attracted significant attentions from many researchers. A fuel cell system model, which is accurate and applicable in engineering practice, plays a key role in controller design, fault diagnosis and power management for fuel cell power systems. In this paper, a hybrid model of a Polymer Electrolyte Membrane Fuel Cell (PEMFC) power system is proposed. The hybrid model contains a mechanism submodel and a black-box submodel. The adjustable parameters in the mechanism submodel are optimized using PSO algorithm. The black-box submodel is expressed in NARX form, which is approximated by a wavelet network using the real test data. From practical experiments, it is shown that, the hybrid model acceptably approximates the practical system. This hybrid PEMFC model can be used for mass flow controller design, fault diagnosis and power management.
KW - Fuel cell systems
KW - PEM
KW - PSO and hybrid model
KW - Wavelet network
UR - https://www.scopus.com/pages/publications/77955402156
U2 - 10.1109/CCDC.2010.5498759
DO - 10.1109/CCDC.2010.5498759
M3 - Conference contribution
AN - SCOPUS:77955402156
SN - 9781424451821
T3 - 2010 Chinese Control and Decision Conference, CCDC 2010
SP - 2629
EP - 2634
BT - 2010 Chinese Control and Decision Conference, CCDC 2010
T2 - 2010 Chinese Control and Decision Conference, CCDC 2010
Y2 - 26 May 2010 through 28 May 2010
ER -