Recent Progress,Challenge and Prospects of Data-Driven Methods for PEM Fuel Cell Remaining Useful Lifetime Prediction
作者单位：School of Mechanical Engineering University of Science and Technology Beijing Shunde Graduate School of University of Science and Technology Beijing
会议名称：《2022中国汽车工程学会年会暨展览会》
会议日期：2022年
学科分类：08[工学] 082304[工学-载运工具运用工程] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程]
摘 要：The proton exchange membrane fuel cell(PEMFC) is an environmentally friendly power generator with essential applications in power stations and fuel cell vehicles.A crucial factor affecting the commercialization of fuel cells is the fuel cell s remaining useful lifetime(RUL).Material degradation,abnormal operation,and dynamic load disturbances can affect the RUL.A fast prognostic health management strategy(FPHMS) can effectively estimate the RUL of the PEMFC and make the right actions in time to extend the *** recent years,data-driven approaches have had deep applications in other *** have also been intensively studied in ***,this paper aims to provide readers with a guide and review of data-driven solutions for RUL ***,though concluding the current status and prospects of applying data-driven approaches in fuel cell remaining life prediction to Promote the industrialization of fuel cells.