| 质子交换膜燃料电池故障诊断 |
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| 引用本文： | 郭家兴,朱新坚,曹广益. 质子交换膜燃料电池故障诊断[J]. 电源技术, 2008, 32(8) |
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| 作者姓名： | 郭家兴 朱新坚 曹广益 |
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| 作者单位： | 上海交通大学,电信学院自动化系燃料电池研究所,上海200030;上海交通大学,电信学院自动化系燃料电池研究所,上海200030;上海交通大学,电信学院自动化系燃料电池研究所,上海200030 |
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| 摘 要： | 近些年来,对质子交换膜燃料电池(PEMFC)发电系统的研究有了很大的进展.但仍有许多问题尚未解决,特别是故障诊断和系统稳定性问题.针对PEMFC的两种典型故障--电极水淹和质子交换膜脱水进行研究.提出一种适于在线故障诊断的模糊模型,并用蚊群算法对模型参数进行优化.最终通过对模型输出的大小和变化率设定两个阈值,得出了判别两种故障的方法.
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| 关 键 词： | 质子交换膜燃料电池 故障诊断 模糊模型 蚁群算法 |
Fault diagnosis of PEMFC |
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| GUO Jia-xing,ZHU Xin-jian,CAO Guang-yi. Fault diagnosis of PEMFC[J]. Chinese Journal of Power Sources, 2008, 32(8) |
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| Authors: | GUO Jia-xing ZHU Xin-jian CAO Guang-yi |
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| Abstract: | Recent developments of proton exchange membrane fuel cell (PEMFC) make it a very promising alternative power generator in certain applications. However, few researches had addressed the problems of fault diagnosis. An efficient and on-line fuzzy diagnosis model that is tuned and optimized by ant colony algorithm was introduced. By setting up two thresholds which are output of the fuzzy model and its' evolution rate, this fuzzy model can diagnose the most typical faults of PEMFC that are electrode compartment flooding and drying of the proton exchange membrane. |
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| Keywords: | proton exchange membrane fuel cell (PEMFC) fault diagnosis fuzzy model ant colony algorithm |
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