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首页> 外文期刊>Journal of power sources >Simulation of the current density distribution for a PEMFC by using measured electrochemical and physical properties of the membrane
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Simulation of the current density distribution for a PEMFC by using measured electrochemical and physical properties of the membrane

机译:通过使用膜的电化学和物理性质模拟PEMFC的电流密度分布

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In order to grasp properly PEFC power generation performances, it is necessary to know aspects of water management such as transmissivity and electro-osmotic coefficient of water vapor through the membrane, and factors for power loss such as active and resistive overpotentials. In this study we have measured these factors to analyze our experimental results of PEFC power generation tests by our two-dimensional simulation code. It considers simultaneously the mass, charge and energy conservation equations, and the equivalent electric-circuit for PEFC to give numerical distributions of hydrogen/oxygen concentrations, current density, and gas/cell-component temperatures. The numerical distributions of current density under various operating conditions agreed well with the measured distributions by segmented electrodes, which had grooves for hydrogen/oxygen supply and were molded in our test cell being electrically insulated. Hydrogen/oxygen concentration changes measured by gas chromatography along the gas supply grooves gave also the experimental current distributions, which coincided almost with those by the segmented electrodes. Factors to correct the small difference between the measured and the calculated are also discussed from the stand point of the physical meaning of the calculated results considering factors which are not taken into account in our code.
机译:为了正确掌握PEFC的发电性能,有必要了解水管理的各个方面,例如透过膜的水蒸气的透射率和电渗透系数,以及功率损耗的因素,例如有源和电阻性超电势。在这项研究中,我们已经测量了这些因素,以通过我们的二维仿真代码来分析PEFC发电测试的实验结果。它同时考虑了质量,电荷和能量守恒方程,以及PEFC的等效电路,以给出氢/氧浓度,电流密度和气体/电池组件温度的数值分布。在各种工作条件下,电流密度的数值分布与分段电极的测量分布非常吻合,分段电极具有供氢气/氧气供应的凹槽,并在我们的电绝缘测试电池中成型。通过气相色谱沿着供气槽测量的氢/氧浓度变化也给出了实验电流分布,该电流分布几乎与分段电极的分布一致。从计算结果的物理意义的角度出发,还考虑了校正测量值和计算值之间的微小差异的因素,并考虑了我们的代码中未考虑的因素。

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