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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue ( 5): 3-    DOI: 10.1631/jzus.2005.A0365
    
Nonlinear modeling of PEMFC based on neural networks identification
SUN Tao, CAO Guang-yi, ZHU Xin-jian
Fuel Cell Institute, Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China
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Abstract  The proton exchange membrane generation technology is highly efficient and clean, and is considered as the most hopeful ?°green?± power technology. The operating principles of proton exchange membrane fuel cell (PEMFC) system involve thermodynamics, electro

Key words： Fuel Cell Automation Proton exchange membrane fuel cell      Nonlinear system modeling      LMBP algorithm     
Received: 28 February 2004     
CLC:  TP183  
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SUN Tao
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ZHU Xin-jian
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SUN Tao, CAO Guang-yi, ZHU Xin-jian. Nonlinear modeling of PEMFC based on neural networks identification. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6( 5): 3-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A0365     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I 5/3

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