基于多重定时截尾数据的FCV供氢系统设备可靠性建模与维修优化

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中图分类号：X937 文献标志码：A

Abstract：China'sfuelcellvehicle industryisininfancy.Whileitholdsgreatprospects，thereistheproblemofrelatively weak researchonequipmentreliabilityand maintenance strategies.Asynergistic algorithm integrating improved Bayesianand least squares was proposed to solvethe problemof highlyreliable multiplecensored estimationtherein，whichwascapableof obtainingbothpointestimationand intervalestimationinaunifiedframeworkandverifying itsusabilitytrough experimental simulations.Thecoling circuit fanof theFCV hydrogensuplysystem was taken asanexample for engineeing application. Theresults indicatethattheoptimal theoretical inspectionandmaintenancetimeof3667h isquantitativelydetermined，and the lower confidence limit is estimated to be 22O5 h with an improvement of 19% compared to the MLE. The accuracy，robustnessand rationalityof the proposed methodare verified through the experimental simulations andcaseanalysis.

Keywords：fuelcell vehicle（FCV）；Bayesianstrategy；multipletimingcensoreddata；heavilyrightcensoreddata;interval estimation

质子交换膜燃料电池（PEMFC）是氢燃料电池汽车（FCV）的动力核心，供氢系统在PEMFC系统组成中占据重要地位，其部件的正常运行对提高FCV的安全性具有重要意义。（剩余7928字）