Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions

Xiaojuan Wu; Liangfei Xu; Yang Huang; Danan Yang; Junhao Wang; Houjun Wang; Xi Li

doi:10.17775/CSEEJPES.2021.02100

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Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions

Regular Papers | 更新时间：2026-10-15

- Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions
- Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions
- 中国电机工程学会电力与能源系统学报(英文) 2022年8卷第4期页码：1207-1214
- 作者机构：
  
  1. School of Automation Engineering, University of Electronic Science and Technology of China,Chengdu,China
  2. State Key Lab of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University,Beijing,China
  3. School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control of Education Ministry, Huazhong University of Science and Technology,Wuhan,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.02100
  中图分类号：
- 纸质出版：2022-07-01
- 稿件说明：
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Xiaojuan Wu, Liangfei Xu, Yang Huang, 等. 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), 2022,8(4):1207-1214.

Xiaojuan Wu, Liangfei Xu, Yang Huang, et al. Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions[J]. CSEE Journal of Power and Energy Systems, 2022, 8(4): 1207-1214.
Xiaojuan Wu, Liangfei Xu, Yang Huang, 等. 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), 2022,8(4):1207-1214. DOI： 10.17775/CSEEJPES.2021.02100.

Xiaojuan Wu, Liangfei Xu, Yang Huang, et al. Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions[J]. CSEE Journal of Power and Energy Systems, 2022, 8(4): 1207-1214. DOI： 10.17775/CSEEJPES.2021.02100.

摘要

Abstract

Due to the constraints of manufacturing and materials

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.

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