Hybrid Model of Fuel Cell System Using Wavelet Network and PSO Algorithm

摘要：

Fuel cell power system has attracted signi.cant 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.

关键词： Fuel Cell Systems PEM Wavelet Network PSO and Hybrid Model

作者: Peng Li Jie Chen Guoping Liu David Rees Juan Zhang

作者单位: School of Automation, Beijing Institute of Technology, Beijing 100081, China Faculty of Advanced Tec School of Automation, Beijing Institute of Technology, Beijing 100081, China Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL, UK

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 2629-2634

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）