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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
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Received: 28 February 2004
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