Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions
In this paper, a data-oriented model has been presented by nonlinear autoregressive exogenous model (NARX) neural network, which aims at predicting the mechanical behavior of a fuel cell stack for vehicle under the real-life operational conditions. A 300-hour vibration test with reproduction of SVP...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6671547 |
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| _version_ | 1849406540277088256 |
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| author | Liying Ma Bo Lv Yongping Hou Xiangmin Pan |
| author_facet | Liying Ma Bo Lv Yongping Hou Xiangmin Pan |
| author_sort | Liying Ma |
| collection | DOAJ |
| description | In this paper, a data-oriented model has been presented by nonlinear autoregressive exogenous model (NARX) neural network, which aims at predicting the mechanical behavior of a fuel cell stack for vehicle under the real-life operational conditions. A 300-hour vibration test with reproduction of SVP road spectrum was completed on a Multi-Axial Simulation Table. At the same time, data acquisition of drive displacement and acceleration response on stack was carried out in every 50 hours. All data collected were used to train and evaluate the model based on NARX. Result shows that the prediction model built is of good precision and consistent with the actual situation. |
| format | Article |
| id | doaj-art-4d4d064570634c0a9f7832b4f495e2af |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-4d4d064570634c0a9f7832b4f495e2af2025-08-20T03:36:21ZengWileyModelling and Simulation in Engineering1687-55911687-56052021-01-01202110.1155/2021/66715476671547Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating ConditionsLiying Ma0Bo Lv1Yongping Hou2Xiangmin Pan3Lab of Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, ChinaLab of Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, ChinaLab of Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, ChinaShanghai Motor Vehicle Inspection Certification & Technology Innovation Center, No. 68 Yutian South Road, Shanghai 201805, ChinaIn this paper, a data-oriented model has been presented by nonlinear autoregressive exogenous model (NARX) neural network, which aims at predicting the mechanical behavior of a fuel cell stack for vehicle under the real-life operational conditions. A 300-hour vibration test with reproduction of SVP road spectrum was completed on a Multi-Axial Simulation Table. At the same time, data acquisition of drive displacement and acceleration response on stack was carried out in every 50 hours. All data collected were used to train and evaluate the model based on NARX. Result shows that the prediction model built is of good precision and consistent with the actual situation.http://dx.doi.org/10.1155/2021/6671547 |
| spellingShingle | Liying Ma Bo Lv Yongping Hou Xiangmin Pan Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions Modelling and Simulation in Engineering |
| title | Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions |
| title_full | Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions |
| title_fullStr | Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions |
| title_full_unstemmed | Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions |
| title_short | Prediction Model of the Mechanical Behavior of a Fuel Cell Stack under Strengthened Road Vibrating Conditions |
| title_sort | prediction model of the mechanical behavior of a fuel cell stack under strengthened road vibrating conditions |
| url | http://dx.doi.org/10.1155/2021/6671547 |
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