DICP OpenIR
Data-based short-term prognostics for proton exchange membrane fuel cells
Liu, Hao1; Chen, Jian1; Hou, Ming2; Shao, Zhigang2; Su, Hongye1
KeywordPrognostics Data-based Method Group Method Of Data Handling Wavelet Analysis Proton Exchange Membrane Fuel Cells
Source PublicationINTERNATIONAL JOURNAL OF HYDROGEN ENERGY
2017-08-10
DOI10.1016/j.ijhydene.2017.06.180
Volume42Issue:32Pages:20791-20808
Indexed BySCI
SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS SubjectChemistry, Physical ; Electrochemistry ; Energy & Fuels
WOS Research AreaChemistry ; Electrochemistry ; Energy & Fuels
WOS KeywordECHO STATE NETWORK ; VECTOR REGRESSION ; PREDICTION ; MAINTENANCE ; SYSTEMS ; LIFE
AbstractPrognostics 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.
Language英语
WOS IDWOS:000409151000039
Citation statistics
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/150031
Collection中国科学院大连化学物理研究所
Affiliation1.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
GB/T 7714
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.
APA Liu, Hao,Chen, Jian,Hou, Ming,Shao, Zhigang,&Su, Hongye.(2017).Data-based short-term prognostics for proton exchange membrane fuel cells.INTERNATIONAL JOURNAL OF HYDROGEN ENERGY,42(32),20791-20808.
MLA Liu, Hao,et al."Data-based short-term prognostics for proton exchange membrane fuel cells".INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 42.32(2017):20791-20808.
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