聚合物电解质燃料电池的优化与送风管理

B. Blunier, A. Miraoui
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引用次数: 15

摘要

为了研究聚合物电解质燃料电池的性能,建立了包括空气压缩过程和加湿过程在内的聚合物电解质燃料电池的数学模型。研究的重点是送风管理,目的是优化进气压力和压缩系统给出的化学计量。给出了一种简单的优化方法,以最大限度地提高电压增益,包括由于压缩过程引起的电压降。优化必须考虑出口相对空气湿度(优化约束)离开燃料电池,以避免干燥或水浸问题。优化结果表明,在完全加湿的空气中工作并不总是一个很好的解决方案,特别是在低空气质量流量的情况下,因为空气化学计量量很高,以避免聚合物膜的泛滥。另一方面,在高空气质量流量的情况下,最好在进口充分加湿的空气中工作。在所有情况下,最佳压力小于2.5 bar,这为燃料电池空气压缩机的设计提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization and air supply management of a polymer electrolyte fuel cell
A mathematical model of the polymer electrolyte fuel cell (PEFC), including air compression process and humidification has been developed to study the performances of the fuel cell. The study is focused on the air supply management with the objective to optimize the inlet air pressure and stoichiometry given by the compression system. A simple optimization method is given to maximize the voltage gain including the voltage drop due to the compression process. The optimization has to take into account the outlet relative air humidity (optimization constraint) leaving the fuel cell to avoid drying or flooding problems. The optimization results show that working at fully humidified air at the inlet is not always a good solution especially for low air mass flow rates because of the high level of air stoichiometry to avoid flooding of the polymer membrane. On the other hand, it is better to work at fully humidified air at the inlet at high air mass flow rates. In all the cases, the optimal pressure is less than 2.5 bar which gives an indication for the design of air compressor for fuel cells.
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