Data-Driven Based Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells

ZHANG Xuexia; GAO Yuxuan; CHEN Weirong

doi:10.3969/j.issn.0258-2724.20180016

Volume 55 Issue 2

Mar. 2020

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Journal of Southwest Jiaotong University > 2020 > 55(2): 417-427.

ZHANG Xuexia, GAO Yuxuan, CHEN Weirong. Data-Driven Based Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 417-427. doi: 10.3969/j.issn.0258-2724.20180016

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ZHANG Xuexia, GAO Yuxuan, CHEN Weirong. Data-Driven Based Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 417-427. doi: 10.3969/j.issn.0258-2724.20180016

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Data-Driven Based Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells

doi: 10.3969/j.issn.0258-2724.20180016

Received Date: 08 Jan 2018
Rev Recd Date: 27 Jun 2018

Available Online: 05 Sep 2018

Publish Date: 01 Apr 2020

Abstract

Abstract

Proton exchange membrane fuel cell (PEMFC) is a power generation technology with promising application prospects. The prognosis for the remaining useful life of PEMFCs plays an important role in its commercial use. In this work, the degradation mechanism and output characteristics of PEMFCs are reviewed to explore how systems and environmental factors affect the degradation. Then, the status quo of data-driven based RUL prediction methods is summarized, while the neural network prognostics algorithms are highlighted. Furthermore, the sources of uncertainty in prediction algorithms are analyzed. Finally, the future research of RUL prediction is discussed, which focuses on the problems such as limited empirical data, lack of modeling transient processes, and being hard for online prediction. In particular, there remains many difficulties in the remaining useful life prediction of large-power PEMFCs..
- proton exchange membrane fuel cell,
- remaining useful life prediction,
- data-driven

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References(82)

References

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Data-Driven Based Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells

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Data-Driven Based Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cells

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