质子交换膜燃料电池叶脉型流场结构设计与优化  

Design and optimization of leaf-vein flow field structure for proton exchange membrane fuel cells

作　　者：甘忠禹 陈涛[1] 张瑞轩 肖飞 GAN Zhongyu;CHEN Tao;ZHANG Ruixuan;XIAO Fei(School of Mechanical and Electrical Engineering,Wuhan University of Technology,Wuhan Hubei 430070,China)

机构地区：[1]武汉理工大学机电工程学院,湖北武汉430070

出　　处：《电源技术》2024年第7期1327-1333,共7页Chinese Journal of Power Sources

摘　　要：质子交换膜燃料电池的性能受双极板中流场结构的影响。设计了一种叶脉型仿生流场,并建立了一个三维、多相的PEMFC模型。为了使仿生流场PEMFC具有最大的输出功率,构建Kriging代理模型分别与遗传算法和粒子群优化算法结合,寻找此仿生流场结构的最佳参数。结果表明当电池工作电压为0.5 V时,优化模型比基础模型功率提高了13.94%。优化模型阴极侧流道内液态水以及流道靠近气体扩散层处的气体压强、反应物质量分数分布均匀性更好。The performance of proton exchange membrane fuel cell(PEMFC)is affected by the flow field structure in the bipolar plates.A leaf-vein bionic flow field was designed and a three-dimensional,multiphase PEMFC model was established.In order to make the bionic flow field PEMFC have the maximum output power,a Kriging surrogate model was constructed and combined with genetic algorithm and particle swarm optimization algorithm,respectively,to find the optimal parameters of this bionic flow field structure.The results show that when the cell operating voltage is 0.5 V,the optimized model increases the power by 13.94%compared with the base model.The uniformity of the distribution of liquid water in the flow channel at the cathode side of the optimized model as well as the gas pressure and mass fraction of reactants in the flow channel near the gas diffusion layer are better.

关 键 词：质子交换膜燃料电池 叶脉流场 结构优化 克里金代理模型 优化算法 

分 类 号：TM911[电气工程—电力电子与电力传动]