Al-Assisted Flow Field Design for Proton Exchange Membrane Fuel Cells:Progress and Perspective
简介：Bipolar plate is one of the key components of Proton Exchange Membrane Fuel Cell(PEMFC)and a reasonable flow field design for bipolar plate will improve cell performance.Herein,we have reviewed conventional and bionic flow field designs in recent literature with a focus on bionic flow fields.In particular,the bionic flow fields are summarized into two types:plant-inspired and animal-inspired.The conventional methodology for flow field design takes more time to find the optimum since it is based on experience and trial-and-error methods.In recent years,machine learning has been used to optimize flow field structures of bipolar plates owing to the advantages of excellent prediction and optimi-zation capability.Artificial Intelligence(AI)-assisted flow field design has been summarized into two categories in this review:single-objective optimization and multi-objective optimization.Furthermore,a Threats-Opportunities-Weaknesses-Strengths(TOWS)analysis has been conducted for AI-assisted flow field design.It has been envisioned that AI can afford a powerful tool to solve the complex problem of bionic flow field design and significantly enhance the performance of PEMFC with bionic flow fields.展开
学者：TongxiZhengFanyuMengWenxuanFANMingxinLiuDafengLuYangLuanXunkangSUGuolongZhenning
关键词：Proton exchange membrane fuel cellArtificial intelligenceBionicflow fieldAlgorithm
在线出版日期：2025-03-06 （网站首发日期）
