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

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。

Abstract: 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.