典型文献
Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions
文献摘要：
Due to the constraints of manufacturing and ma-terials,high-power plants cannot rely on only one solid oxide fuel cell stack.A multi-stack system is a solution for a high-power system,which consists of multiple fuel cell stacks.A short lifetime is one of the main challenges for the fuel cell before large-scale commercial applications,and prognostic is an important method to improve the reliability of fuel cells.Different from the traditional prognostic approaches applied to single-stack fuel cell systems,the key problem in multi-stack prediction is how to solve the correlation of multi-stack degradation,which can directly affect the accuracy of prediction.In response to this difficulty,a standard Brownian motion is added to the traditional Wiener process to model the degradation of each stack,and then the probability density function of the remaining useful life(RUL)of each stack is calculated.Furthermore,a Copula function is adopted to reflect the dependence between life distributions,so as to obtain the remaining useful life for the whole multi-stack system.The simulation results show that compared with the traditional prediction model,the proposed approach has a higher prediction accuracy for multi-stack fuel cell systems.
文献关键词：
中图分类号：
作者姓名：
Xiaojuan Wu;Liangfei Xu;Yang Huang;Danan Yang;Junhao Wang;Houjun Wang;Xi Li
作者机构：
School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China;State Key Lab of Automotive Safety and Energy,School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China;School of Artificial Intelligence and Automation,Key Laboratory of Image Processing and Intelligent Control of Education Ministry,Huazhong University of Science and Technology,Wuhan 430074,China
文献出处：
引用格式：
[1]Xiaojuan Wu;Liangfei Xu;Yang Huang;Danan Yang;Junhao Wang;Houjun Wang;Xi Li-.Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(04):1207-1214
A类：
B类：
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AB值：
0.530937
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