基于多模型的Z型流道燃料电池的性能优化  

PERFORMANCE OPTIMIZATION OF Z-CHANNEL FUEL CELL BASED ON MULTI-MODEL

作　　者：代世勋[1] 曹爱红[1] 王来华[1] Dai Shixun;Cao Aihong;Wang Laihua(Department of Automotive Engineering,Shandong Labor Vocational and Technical College,Ji’nan 250022,China)

机构地区：[1]山东劳动职业技术学院汽车工程系,济南250022

出　　处：《太阳能学报》2022年第6期476-485,共10页Acta Energiae Solaris Sinica

摘　　要：建立三维质子交换膜燃料单电池(PEMFC)数值模型,探究Z型流道PEMFC流道参数(角度、宽度、深度)、运行参数(温度、氢气湿度、氧气化学计量比)对燃料电池性能的影响,并建立多神经网络(MNN)模型,对上述参数进行优化。研究结果表明,最佳流道参数为角度-宽度-深度为25°-1.15 mm-0.85 mm,最佳运行参数为温度-湿度-化学计量比为349.15 K-0.60-4.5。通过对比优化前后的Z型流道PEMFC的性能可看出,优化后的Z型流道PEMFC在稳态特性及瞬态特性方面得到明显改善。This paper establishes a numerical analytical model of 3 D proton exchange membrane fuel single cell(PEMFC),explores the influence of PEMFC channel parameters(angle,width,depth),operation parameters(temperature,hydrogen humidity,oxygen stoichiometric ratio)on the fuel cell performance,and establishes a multi-neural network(MNN)model to optimize the above parameters.The results show that the optimal flow channel parameter is angle-width-depth equal to 25-1.15 mm-0.85 mm,and the optimal operating parameter is temperature-humidity-stoichiometry equal to 349.15 K-0.60-4.5.By comparing the performance of the Z channel PEMFC before and after the optimization,it can be seen that the steady-state characteristics and transient characteristics of the PEMFC with optimized Z channel is significantly improved.

关 键 词：PEMFC 神经网络 优化 流道 运行参数 

分 类 号：TK513.5[动力工程及工程热物理—热能工程]