中南大学学报（自然科学版）2024，Vol.55Issue(6)：2106-2116,11.DOI:10.11817/j.issn.1672-7207.2024.06.005
基于蜂窝仿生流场的质子交换膜燃料电池的性能研究及优化
Performance optimization of proton exchange membrane fuel cell based on honeycomb-like flow field
摘要
Abstract
In order to enhance the uniformity of fuel distribution and capability of liquid water management in the proton exchange membrane fuel cells(PEMFCs),a novel honeycomb-like flow field based on bionic structure was proposed.Firstly,a three-dimensional multiphase flow non-isothermal geometric model was constructed based on the honeycomb structural features,and the mathematical model of PEMFCs was established.Secondly,the model was verified for irrelevance and validity by using the computational fluid dynamics Fluent software.The cell performance and fuel distribution of the honeycomb-like flow field and the conventional parallel flow field were simulated and analyzed.Finally,the effectiveness of the honeycomb-like flow field design was verified by comparing the polarization performance,gas flow velocity distribution,fuel and liquid water component concentration and current density distribution.The results show that the peak power density of the cell with honeycomb-like flow field is 15.6%higher than that of the conventional parallel flow field,which is superior to parallel flow field in internal water management and fuel distribution.Compared with the honeycomb-like flow field with upper intake,the honeycomb-like flow field with left inlet exhibits more uniform gas pressure in the gas passage,which can effectively avoid local eddy current in the flow passage,and its peak power density can reach 0.393 3 W/cm2.关键词
质子交换膜燃料电池/蜂窝仿生流场/压降/水管理Key words
proton exchange membrane fuel cell/honeycomb-like flow field/pressure drop/water management分类
能源科技引用本文复制引用
张凌云,赵雷,卢家鹏,陈辉,朱学军,杨涛,王诚,杜星..基于蜂窝仿生流场的质子交换膜燃料电池的性能研究及优化[J].中南大学学报（自然科学版）,2024,55(6):2106-2116,11.基金项目
国家重点研发计划项目(2022YFE0207600) （2022YFE0207600）
国家自然科学基金资助项目(22105151) （22105151）
湖北省重点研发计划项目(2022BAA094) （2022BAA094）
湖北省自然科学基金资助项目(2021CFB124,2022CFB626) （2021CFB124,2022CFB626）
四川省科技计划项目(2023YFSY0035)(Project(2022YFE0207600)supported by the National Key Research and Development Program of China （2023YFSY0035）
Project(22105151)supported by the National Natural Science Foundation of China （22105151）
Project(2022BAA094)support by the Key Research Program of Hubei Province （2022BAA094）
Projects(2021CFB124,2022CFB626)supported by the Natural Science Foundation of Hubei Province （2021CFB124,2022CFB626）
Project(2023YFSY0035)supported by the Sichuan Science and Technology Program （2023YFSY0035）
