The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing
To solve the problem of inaccurate prediction of the stack life of proton exchange membrane fuel cells, this paper first proposed a fuel-cell aging prediction method based on method Savitzky–Golay Smoothing and Group Method of Data, which was based on the data drive. Savitzky–Golay Smoothing is an o...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722021928 |
| _version_ | 1811159596855721984 |
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| author | Jiawei Liu Ting Li Quan Tang Yunling Wang Yunche Su Jing Gou Qiao Zhang Xinwei Du Chuan Yuan Bo Li |
| author_facet | Jiawei Liu Ting Li Quan Tang Yunling Wang Yunche Su Jing Gou Qiao Zhang Xinwei Du Chuan Yuan Bo Li |
| author_sort | Jiawei Liu |
| collection | DOAJ |
| description | To solve the problem of inaccurate prediction of the stack life of proton exchange membrane fuel cells, this paper first proposed a fuel-cell aging prediction method based on method Savitzky–Golay Smoothing and Group Method of Data, which was based on the data drive. Savitzky–Golay Smoothing is an optimal piecewise fitting method based on polynomial in the time domain and using the least square method through moving window, which is widely used in data flow smoothing and denoising. Group Method of Data is a modeling method of the complex nonlinear dynamic system. The inner criterion and outer criterion are used in the training set and test set respectively, and the optimal solution is finally solved by iterative screening. The method presented in this paper was verified by 1020 h fuel cell aging experiment. The experimental results show that: the MSE, RMSE, R of the test data are respectively 6.3935e−05, 0.0079959, and 0.99616. The data-driven prediction method proposed in this paper can be used for fuel cell aging prediction and fault warning. |
| first_indexed | 2024-04-10T05:45:00Z |
| format | Article |
| id | doaj.art-1ad7d811e3104de798def0f8f766da32 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T05:45:00Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-1ad7d811e3104de798def0f8f766da322023-03-06T04:14:33ZengElsevierEnergy Reports2352-48472022-12-018565573The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay SmoothingJiawei Liu0Ting Li1Quan Tang2Yunling Wang3Yunche Su4Jing Gou5Qiao Zhang6Xinwei Du7Chuan Yuan8Bo Li9State Grid Sichuan Economic Research Institute, Chengdu, 610041, Sichuan, China; Corresponding author.State Grid Sichuan Economic Research Institute, Chengdu, 610041, Sichuan, ChinaState Grid Sichuan Economic Research Institute, Chengdu, 610041, Sichuan, ChinaState Grid Sichuan Economic Research Institute, Chengdu, 610041, Sichuan, ChinaState Grid Sichuan Economic Research Institute, Chengdu, 610041, Sichuan, ChinaState Grid Sichuan Economic Research Institute, Chengdu, 610041, Sichuan, ChinaSouthwest Jiaotong University, Chengdu, 611756, Sichuan, ChinaState Grid Sichuan Electric Power Company, Chengdu, 610041, Sichuan, ChinaState Grid Sichuan Electric Power Company, Chengdu, 610041, Sichuan, ChinaState Grid Sichuan Electric Power Company, Chengdu, 610041, Sichuan, ChinaTo solve the problem of inaccurate prediction of the stack life of proton exchange membrane fuel cells, this paper first proposed a fuel-cell aging prediction method based on method Savitzky–Golay Smoothing and Group Method of Data, which was based on the data drive. Savitzky–Golay Smoothing is an optimal piecewise fitting method based on polynomial in the time domain and using the least square method through moving window, which is widely used in data flow smoothing and denoising. Group Method of Data is a modeling method of the complex nonlinear dynamic system. The inner criterion and outer criterion are used in the training set and test set respectively, and the optimal solution is finally solved by iterative screening. The method presented in this paper was verified by 1020 h fuel cell aging experiment. The experimental results show that: the MSE, RMSE, R of the test data are respectively 6.3935e−05, 0.0079959, and 0.99616. The data-driven prediction method proposed in this paper can be used for fuel cell aging prediction and fault warning.http://www.sciencedirect.com/science/article/pii/S2352484722021928Proton exchange membrane fuel cellsAging predictionSavitzky–Golay SmoothingGroup Method of Data |
| spellingShingle | Jiawei Liu Ting Li Quan Tang Yunling Wang Yunche Su Jing Gou Qiao Zhang Xinwei Du Chuan Yuan Bo Li The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing Energy Reports Proton exchange membrane fuel cells Aging prediction Savitzky–Golay Smoothing Group Method of Data |
| title | The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing |
| title_full | The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing |
| title_fullStr | The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing |
| title_full_unstemmed | The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing |
| title_short | The life Prediction of PEMFC based on Group Method of Data handling with Savitzky–Golay Smoothing |
| title_sort | life prediction of pemfc based on group method of data handling with savitzky golay smoothing |
| topic | Proton exchange membrane fuel cells Aging prediction Savitzky–Golay Smoothing Group Method of Data |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722021928 |
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