基于正交试验的PEMFC新型蛇形流场模拟研究

Numerical Simulation on a Novel Serpentine Flow Field of PEMFC Based on Orthogonal Experimental Methods

  • 摘要: 流场结构优化设计是提升质子交换膜燃料电池 (Proton exchange membrane fuel cell, PEMFC)性能的重要技术手段。以传统蛇形流场为基础,提出PEMFC新型蛇形流场,并通过正交试验对其展开优化模拟研究。以肋片行数、肋片个数及间隔长度为关键设计参数,以0.4 V条件下的电流密度、压降、温差和氧气不均匀度为评价指标,结合极差分析与方差分析探究设计参数对评价指标的影响规律和显著性,采用加权分析方法并结合综合输出性能值,进一步进行极差分析,得出最优参数组合。研究结果表明,肋片行数在各评价指标中均占主导地位,是影响 PEMFC 性能的关键参数;当肋片行数为5、肋片个数为2、间隔长度为0.1 mm时为最优参数组合,与以电流密度为主导时所得最优组合一致。通过对比研究表明,最优参数组合的综合输出性能值在所有单一指标主导组合及 16 组正交试验中均最高,表明其在兼顾多项性能指标时具有显著优势,能够实现PEMFC 新型蛇形流场综合性能优化。本文研究结果可为蛇形流场优化设计提供一定参考。

     

    Abstract: Optimization of flow field structure design is a critical technical approach to improving the performance of proton exchange membrane fuel cells(PEMFC). Based upon the traditional serpentine flow field, the novel serpentine flow field for PEMFC is simulated and optimization simulations are performed using orthogonal experimental methods. The key design parameters include the number of rib rows, the number of ribs, and the gap length, while the evaluation indicators are current density, pressure drop, temperature difference, and oxygen non-uniformity at a 0.4 V operating condition. By combining range analysis and analysis of variance, the influence and significance of the parameters on the evaluation indicators are systematically investigated. Furthermore, a weighted analysis is adopted and combined with the comprehensive output performance value(OP value) to conduct further range analysis, enabling the determination of the optimal parameter combination. The results show that the number of rib rows is dominant in all evaluation indicators and is the key parameter influencing the performance of PEMFC. The optimal parameter combination is obtained when the number of rib rows is 5, the number of ribs is 2, and the gap length is 0.1 mm, which coincides with the combination obtained when current density is considered as the primary indicator. Comparative analysis indicates that the comprehensive output performance value of this combination is higher than those of all combinations optimized for individual indicators and all 16 orthogonal test groups, demonstrating its clear superiority in simultaneously optimizing multiple performance metrics. Overall, this achieves a comprehensive performance optimization of the novel serpentine flow field for PEMFC. The findings provide valuable reference for the optimization design of serpentine flow fields.

     

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