文章基本信息

标题：Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cell Using Stochastic Fusion Filtering ⁎
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作者：Yaqing Wang ; Yanyan Hu ; Changyin Sun 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：21
页码：158-162
DOI：10.1016/j.ifacol.2018.09.409
语种：English
出版社：Elsevier
摘要：AbstractWith the advantages of high power generation efficiency, low pollution and noise, Proton exchange membrane fuel cell (PEMFC) is regarded as a promising energy source for electric vehicles and stationary power stations. However, performance degradation is inevitable when PEMFC is in operating, which makes the estimation of remaining useful life (RUL) a crucial problem to assure the stability and security of PEMFC. In this paper, the RUL of PEMFC is estimated by stochastic fusion filtering approach with the dataset provided in IEEE PHM 2014 Data Challenge. The total voltage dataset as well as each cell degradation dataset are fused to get more accurate results. The simulation results demonstrate the good characteristics of this method.
关键词：KeywordsRemaining useful lifeProton Exchange Membrane Fuel CellMultisensor fusionStochastic filteringEM