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Identification and analysis based on genetic algorithm for proton exchange membrane fuel cell stack 被引量：3

Identification and analysis based on genetic algorithm for proton exchange membrane fuel cell stack
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摘要 The temperature of proton exchange membrane fuel cell stack and the stoichiometric oxygen in cathode have relationship with the performance and life span of fuel cells closely. The thermal coefficients were taken as important factors affecting the temperature distribution of fuel cells and components. According to the experimental analysis, when the stoichiometric oxygen in cathode is greater than or equal to 1.8, the stack voltage loss is the least. A novel genetic algorithm was developed to identify and optimize the variables in dynamic thermal model of proton exchange membrane fuel cell stack, making the outputs of temperature model approximate to the actual temperature, and ensuring that the maximal error is less than 1 ℃. At the same time, the optimum region of stoichiometric oxygen is obtained, which is in the range of 1.8-2.2 and accords with the experimental analysis results. The simulation and experimental results show the effectiveness of the proposed algorithm. The temperature of proton exchange membrane fuel cell stack and the stoichiometric oxygen in cathode have relationship with the performance and life span of fuel cells closely. The thermal coefficients were taken as important factors affecting the temperature distribution of fuel cells and components. According to the experimental analysis, when the stoichiometric oxygen in cathode is greater than or equal to 1.8, the stack voltage loss is the least. A novel genetic algorithm was developed to identify and optimize the variables in dynamic thermal model of proton exchange membrane fuel cell stack, making the outputs of temperature model approximate to the actual temperature, and ensuring that the maximal error is less than 1℃. At the same time, the optimum region of stoichiometric oxygen is obtained, which is in the range of 1.8 -2.2 and accords with the experimental analysis results. The simulation and experimental results show the effectiveness of the proposed algorithm.
作者 李曦 曹广益 朱新坚 卫东
机构地区 Depart ment of Control Science and Engineering Depart ment of Automation
出处 《Journal of Central South University of Technology》 EI 2006年第4期428-431,共4页 中南工业大学学报（英文版）
基金 Project (2003AA517020) supported by the National High-Technology Research Plan of China
关键词 质子交换膜燃料电池 遗传算法 温度 导热率 proton exchange membrane fuel cell genetic algorithm temperature thermal coefficient stoichiometric oxygen
分类号 TM911.4 [电气工程—电力电子与电力传动]
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  • 1ATAL B S. Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification [J]. Journal of the Acoustical Society of America, 1974, 55(6): 1304-1312.
  • 2DAVIS S, MERMELSTEIN P. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences [J]. IEEE Transaction on Acoustics, Speech and Signal Processing, 1980, 28(4): 357-366.
  • 3KIM D S, LEE S Y, KIL R M. Auditory processing of speech signal for robust speech recognition in real-world noisy environments [J]. IEEE Transaction on Speech and Audio Processing, 1999, 7(1): 55-69.
  • 4JUANG B H, RABINER L R. Hidden Markov models for speech recognition [J]. Technometrics, 1991, 33(3): 251-272.
  • 5BROOMHEAD D S, LOWE D. Multivariable functional interpolation and adaptive networks [J]. Complex Systems, 1988, 2(3): 321-355.
  • 6SAYOUD H, OUAMOUR S. Speaker clustering of stereo audio documents based on sequential gathering process [J]. Join'hal of Information Hiding and Multimedia Signal Processing, 2010, 1(4): 344-360.
  • 7HANDEL S. Listening: An introduction to the perception of auditory events [M]. Massachusetts: MIT Press, t993: 461-546.
  • 8STROPE B, ALWAN A. A model of dynamic auditory perception and its application to robust word recognition [J]. IEEE Transaction on Speech and Audio Processing, 1997, 5 (5): 451-464.
  • 9HOLMBERG M, GELBART D, HEMMERT W. Automatic speech recognition with an adaptation model motivated by auditory processing [J]. IEEE Transaction on Audio, Speech, Language Processing, 2006, 14(1): 44-49.
  • 10ZHANG Xue-ying, HUANG Li-xia, EVANGELISTA G. Warped filter banks used in noisy speech recognition [C]// Proceedings of Innovative Computing, Information and Control. Kaohsiung: IEEE, 2009: 1385-1388.

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Journal of Central South University of Technology
2006年 第4期

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