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Simulation and analysis of energy optimization for PEMFC hybrid system
引用本文:LIU Cheng-ze ZHU Xin-jian. Simulation and analysis of energy optimization for PEMFC hybrid system[J]. 浙江大学学报(A卷英文版), 2006, 7(11): 1878-1885. DOI: 10.1631/jzus.2006.A1878
作者姓名:LIU Cheng-ze ZHU Xin-jian
作者单位:Department of Automation,Shanghai Jiao Tong University,Shanghai 200030,China
基金项目:Project (No. 2003AA517020) supported by the Hi-Tech Researchand Development Program (863) of China
摘    要:INTRODUCTION Proton Exchange Membrane Fuel Cell (PEMFC) is being rapidly developed in recent years because of its compact structure, light weight, low working temperature and rapid startup characteristics. But its E-I characteristic curve reveals its decreasing per- formance when confronted with suddenly increasing power demand, and high cost also restrains the ap- plication of the fuel cell. So the hybrid power scheme is the most suitable selection presently. Most of researches on fu…

关 键 词:PEMFC 混合系统 能量最佳化 模糊控制 模拟分析
收稿时间:2005-10-21
修稿时间:2006-07-06

Simulation and analysis of energy optimization for PEMFC hybrid system
Cheng-ze Liu,Xin-jian Zhu. Simulation and analysis of energy optimization for PEMFC hybrid system[J]. Journal of Zhejiang University Science, 2006, 7(11): 1878-1885. DOI: 10.1631/jzus.2006.A1878
Authors:Cheng-ze Liu  Xin-jian Zhu
Affiliation:(1) Department of Automation, Shanghai Jiao Tong University, Shanghai, 200030, China
Abstract:The control objective and several key parameters of PEMFC hybrid system are analyzed. Control strategy design and energy optimization simulation are made individually for given cycle case and realtime operating case. For the given cycle case, genetic algorithm is adopted to solve the multi-constraint combinatorial optimization problem. Simulation result showed the algorithm’s feasibility. As far as the realtime operation is concerned, based on the original fuzzy control strategy, the fuel cell voltage and voltage variance parameters are introduced to apply two-level modification on the fuzzy control output. The result reveals that the improved fuzzy control strategy can enhance the fuel cell efficiency and reduce the power fluctuations. Project (No. 2003AA517020) supported by the Hi-Tech Research and Development Program (863) of China
Keywords:PEMFC   Hybrid system   Energy optimization   Fuzzy control
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