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《Journal of Shanghai Jiaotong University》 2005-S1
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Direct Methanol Fuel Cell Modeling Based on Mathematical Theory and Neural Networks Identification

MIAO Qing, CAO Guang-yi, ZHU Xin-jian(Fuel Cell Inst., Dept. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, China)  
Two different modeling methods were proposed for solving the modeling problem of direct methanol fuel cell(DMFC) nonlinear system. One is a mathematical model of DMFC performance, which is established by using theories of electrochemistry, hydrokinetics and thermodynamics. The other is an identification model of DMFC performance, which is established by the novel BP algorithm of neural networks. The simulation results show that the two modeling methods are correct, effective and the models have better accuracy. Moreover, the mathematical and neural networks modeling make it possible to design on-line controller of DMFC.
【Fund】: 国家高技术研究发展计划(863)项目(2003AA517020)
【CateGory Index】: TM911.4
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【References】
Chinese Journal Full-text Database 1 Hits
1 CAO Ling Zhi,CHEN Yu,LI Chun Wen (Key Laboratory of Information Electric Apparatus in Henan Province ,Zhengzhou 450002,China);Direct methanol fuel cell hybrid model and simulation analysis[J];Application of Electronic Technique;2010-03
【Citations】
Chinese Journal Full-text Database 2 Hits
1 SHEN Cheng, CAO Guang yi, YU Li jun (Dept. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, China);Modeling Molten Carbonate Fuel Cell Based on Neural Networks Identification[J];Journal of Shanghai Jiaotong University;2002-08
2 WEI Dong, CAO Guang-yi, ZHU Xin-jian (Fuel Cell Institute, Automation Department, Shanghai-JiaoTong University, Shanghai 200030, China);Modeling Proton Exchange Membrane Fuel Cell (PEMFC) Based on Neural Networks Identification[J];Acta Simulata Systematica Sinica;2003-06
【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 GONG Qing-jie, HUANG Hai-yan, LU Lan-guang, OU YANG Ming-gao(State Key Laboratory for Automotive Safety and Energy, Departmentof Automotive Engineering,Tsinghua University, Beijing 100084, China);Analysis and modeling of PEMFC stack based on orthogonal experiment[J];Battery Bimonthly;2005-04
2 LI Wei,ZHU Xin-jian,CAO Guang-yi(Shanghai Jiaotong University,Shanghai 200030,China);Modeling of Photovoltaic-Array Based on Improved BP Neural Networks Identification[J];Computer Simulation;2006-07
3 MIAO Qing, CAO Guang-yi, ZHU Xin-jian (Fuel Cell Research Institute under the Shanghai Jiaotong University, Shanghai, China, Post Code: 200030);Electric-characteristic Modeling of a Fuel Cell Based on ROLS Algorithm and RBF (Radial Based Function) Neural Network Identification Technique[J];Journal of Engineering for Thermal Energy and Power;2005-04
4 MIAO Qing, CAO Guang-yi, ZHU Xin-jian (Fuel Cell Inst., Dept. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, China);Fuel Cell Modeling Based on Fuzzy Neural Networks Identification and Its Voltage Control[J];Journal of Shanghai Jiaotong University;2005-S1
5 MIAO Qing, CAO Guang-yi, ZHU Xin-jian (Fuel Cell Institute, Automation Department, Shanghai Jiao Tong University, Shanghai 200030, China);Modeling Direct Methanol Fuel Cell (DMFC) Based on Improved RBF Neural Networks Identification[J];Acta Simulata Systematica Sinica;2005-02
6 YU Ru-jun1,3, LIU Xiu-qing2, CAO Guang-yi3, ZHU Xin-jian3, HUANG Bing-qiang3, WU Qiu-xuan3 (1. Department of chemical industry, Shandong University of Technology, Zibo 255049, China; 2. School of Transport and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China; 3. Automation Department of Shanghai Jiaotong University, Shanghai 200030, China);Modeling and Simulation of Tubular Direct Methanol Fuel Cell[J];Journal of System Simulation;2007-17
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