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首页> 外文期刊>International Journal of Innovative Computing Information and Control >OPERATION CHARACTERISTIC CONTROL OF DIRECT METHANOL FUEL CELL LIQUID FEED FUEL SYSTEM USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM MODEL
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OPERATION CHARACTERISTIC CONTROL OF DIRECT METHANOL FUEL CELL LIQUID FEED FUEL SYSTEM USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM MODEL

机译：基于自适应神经模糊推理系统模型的直接甲醇燃料电池液体燃料系统的运行特性控制

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摘要

Currently, Direct Methanol Fuel Cell (DMFC) technology suffers from the low power density caused by slow reaction rate and undesired "methanol crossover", which limits its commercialization application. At this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) can predict the needed amount of methanol fuel from the relationship of current and voltage curve of DMFC under different operational conditions and keep high power density. The ANFIS is a collaborative data bank from repeated experiments results under different amount of methanol fuel liquid. The model is a control scheme for predicting of supply to a fuel cell system under dynamic loading conditions, with a high accuracy in an easy, rapid and cost effective way to regulate the concentration of a liquid feed fuel cell without any fuel concentration sensor. The control scheme uses operating characteristics of fuel cell, such as potential, current and temperature. Our previous study has presented a fuel sensorless control algorithm (IR-DTFI) to calculate the quantity of fuel liquid required at each monitoring cycle. Furthermore, we develop ANFIS to strengthen the concentration regulating process. The ANFIS had been verified by systematic experiments, and the experimental results proved that the scheme can effectively control the fuel supply of a liquid feed fuel cell with reduced response time, even while the Membrane Electrolyte Assembly (MEA) deteriorates gradually.
机译：当前，直接甲醇燃料电池（DMFC）技术由于反应速度慢和不希望的“甲醇穿越”而导致功率密度低，这限制了其商业化应用。在这项研究中，自适应神经模糊推理系统（ANFIS）可以根据DMFC在不同操作条件下的电流和电压曲线的关系预测所需的甲醇燃料量，并保持高功率密度。 ANFIS是一个协作数据库，来自在不同量的甲醇燃料液体下的重复实验结果。该模型是一种用于预测在动态负载条件下向燃料电池系统的供应的控制方案，该高精度方案可通过简便，快速且经济高效的方式高精度地调节液体进料燃料电池的浓度，而无需任何燃料浓度传感器。该控制方案使用燃料电池的工作特性，例如电势，电流和温度。我们先前的研究提出了一种无燃料传感器控制算法（IR-DTFI），用于计算每个监控周期所需的燃料液体量。此外，我们开发了ANFIS以加强浓度调节过程。通过系统实验验证了ANFIS的有效性，实验结果表明，即使膜电解质组件（MEA）逐渐损坏，该方案也可以有效地控制液体进料燃料电池的燃料供应，并缩短响应时间。

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    Chi-Yuan Chang; Chao-Hsing Hsu; Wen-June Wang; Chun-Lung Chang; Charn-Ying Chen;

  • 作者单位

    Department of Electrical Engineering National Central University No. 300, Jhongda Rd., Jhong-li, Taoyuan 32001, Taiwan,Institute of Nuclear Energy Research No. 1000, Wenhua Rd., Jiaan, Longtan, Taoyuan 32546, Taiwan;

    Department of Computer and Communication Engineering Chienkuo Technology University No. 1, Chieh Shou N. Rd., Changhua City 500, Taiwan;

    Department of Electrical Engineering National Central University No. 300, Jhongda Rd., Jhong-li, Taoyuan 32001, Taiwan;

    Institute of Nuclear Energy Research No. 1000, Wenhua Rd., Jiaan, Longtan, Taoyuan 32546, Taiwan;

    Institute of Nuclear Energy Research No. 1000, Wenhua Rd., Jiaan, Longtan, Taoyuan 32546, Taiwan;

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  • 正文语种 eng
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  • 关键词

    fuel sensorless control; ANFIS; methanol crossover;

    机译：燃油无传感器控制;ANFIS;甲醇交换;

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