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题名: Data-based short-term prognostics for proton exchange membrane fuel cells
作者: Liu, Hao1;  Chen, Jian1;  Hou, Ming2;  Shao, Zhigang2;  Su, Hongye1
关键词: Prognostics ;  Data-based method ;  Group method of data handling ;  Wavelet analysis ;  Proton exchange membrane fuel ;  cells
刊名: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
发表日期: 2017-08-10
DOI: 10.1016/j.ijhydene.2017.06.180
卷: 42, 期:32, 页:20791-20808
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ;  Physical Sciences ;  Technology
类目[WOS]: Chemistry, Physical ;  Electrochemistry ;  Energy & Fuels
研究领域[WOS]: Chemistry ;  Electrochemistry ;  Energy & Fuels
英文摘要: Prognostics is an important tool in the life and cost management of the proton exchange membrane fuel cells (PEMFCs). In this paper, we propose a data-based short-term prognostics method based on the group method of data handling and the wavelet analysis. In particular, this method first decomposes the original voltage sequence of PEMFCs into multiple sub-waveforms. Then, prognostics are made for the sub-waveforms and are combined for the overall prognostics of PEMFCs. Moreover, the proposed method is validated by the experimental datasets from real aging tests. Simulation results demonstrate that, compared with the existing approaches, this proposed method not only can achieve accurate short-term prognostics for PEMFCs in different load conditions, but also can directly use the original experimental data with large disturbances. (c) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
关键词[WOS]: ECHO STATE NETWORK ;  VECTOR REGRESSION ;  PREDICTION ;  MAINTENANCE ;  SYSTEMS ;  LIFE
语种: 英语
WOS记录号: WOS:000409151000039
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/149931
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

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作者单位: 1.Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China
2.Chinese Acad Sci, Dalian Inst Chem Phys, Fuel Cell Syst & Engn Lab, 457 Zhongshan Rd, Dalian 116023, Peoples R China

Recommended Citation:
Liu, Hao,Chen, Jian,Hou, Ming,et al. Data-based short-term prognostics for proton exchange membrane fuel cells[J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY,2017,42(32):20791-20808.
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