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Optimum Conditions for Maximum Power of a Direct Methanol Fuel Cell

机译:直接甲醇燃料电池最大功率的最佳条件

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It is well known that anode and cathode pressures and cell temperature are the effective parameters in performance of Direct Methanol Fuel Cell (DMFC). In the present study, the genetic algorithm as one of the most powerful optimization tools is applied to determine operating conditions which result in the maximum power density of a DMFC. A quasi-two-dimensional, isothermal model is presented to determine maximum power of a DMFC. For validation of this model, the results of the model are compared to experimental results and shown to be in good agreement with them.
机译:众所周知,阳极和阴极压力以及电池温度是直接甲醇燃料电池(DMFC)性能的有效参数。在本研究中,遗传算法作为最强大的优化工具之一,被用于确定导致DMFC的最大功率密度的运行条件。提出了准二维等温模型,以确定DMFC的最大功率。为了验证该模型,将模型的结果与实验结果进行了比较,并显示出与它们的良​​好一致性。

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