کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5146289 | 1497345 | 2017 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Data-based short-term prognostics for proton exchange membrane fuel cells
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Hydrogen Energy - Volume 42, Issue 32, 10 August 2017, Pages 20791-20808
Journal: International Journal of Hydrogen Energy - Volume 42, Issue 32, 10 August 2017, Pages 20791-20808
نویسندگان
Hao Liu, Jian Chen, Ming Hou, Zhigang Shao, Hongye Su,