Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain
New energy vehicles have emerged as a prominent focus in the automotive industry. This study develops a comprehensive modeling specification for fuel cell systems in new energy vehicles and establishes a framework for fatigue life analysis in the frequency domain. First, a finite element model of th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/13/1/18 |
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| author | Zhe Liu Mingjie Wang Pengbo Guo Dawei Gao Yunkai Gao |
| author_facet | Zhe Liu Mingjie Wang Pengbo Guo Dawei Gao Yunkai Gao |
| author_sort | Zhe Liu |
| collection | DOAJ |
| description | New energy vehicles have emerged as a prominent focus in the automotive industry. This study develops a comprehensive modeling specification for fuel cell systems in new energy vehicles and establishes a framework for fatigue life analysis in the frequency domain. First, a finite element model of the fuel cell system was created in accordance with established standards, followed by grid convergence analysis and grid quality correction to enhance model accuracy. Next, random vibration analysis was performed to determine the root mean square (RMS) stress distribution of the fixed plate assembly in a random vibration environment, and the results were validated through experimental tests. Finally, Miner’s linear cumulative damage rule and the rainflow distribution model for random processes were applied to predict the fatigue life of the fixed plate assembly and connecting bolts. Critical locations for potential structural fatigue were identified, and the simulation results were corroborated through fatigue testing. The findings validate the accuracy of the proposed fatigue analysis framework and offer valuable insights for the continued development of fuel cell systems. |
| format | Article |
| id | doaj-art-1495ad00b8fc4ff394958d99408c2175 |
| institution | Kabale University |
| issn | 2075-1702 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-1495ad00b8fc4ff394958d99408c21752025-01-24T13:39:09ZengMDPI AGMachines2075-17022024-12-011311810.3390/machines13010018Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency DomainZhe Liu0Mingjie Wang1Pengbo Guo2Dawei Gao3Yunkai Gao4School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Automotive Studies, Tongji University, Shanghai 201804, ChinaNew energy vehicles have emerged as a prominent focus in the automotive industry. This study develops a comprehensive modeling specification for fuel cell systems in new energy vehicles and establishes a framework for fatigue life analysis in the frequency domain. First, a finite element model of the fuel cell system was created in accordance with established standards, followed by grid convergence analysis and grid quality correction to enhance model accuracy. Next, random vibration analysis was performed to determine the root mean square (RMS) stress distribution of the fixed plate assembly in a random vibration environment, and the results were validated through experimental tests. Finally, Miner’s linear cumulative damage rule and the rainflow distribution model for random processes were applied to predict the fatigue life of the fixed plate assembly and connecting bolts. Critical locations for potential structural fatigue were identified, and the simulation results were corroborated through fatigue testing. The findings validate the accuracy of the proposed fatigue analysis framework and offer valuable insights for the continued development of fuel cell systems.https://www.mdpi.com/2075-1702/13/1/18fuel cell systemfrequency domain fatiguerandom vibrationPSD |
| spellingShingle | Zhe Liu Mingjie Wang Pengbo Guo Dawei Gao Yunkai Gao Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain Machines fuel cell system frequency domain fatigue random vibration PSD |
| title | Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain |
| title_full | Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain |
| title_fullStr | Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain |
| title_full_unstemmed | Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain |
| title_short | Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain |
| title_sort | numerical and experimental based framework for fuel cell system fatigue analysis in frequency domain |
| topic | fuel cell system frequency domain fatigue random vibration PSD |
| url | https://www.mdpi.com/2075-1702/13/1/18 |
| work_keys_str_mv | AT zheliu numericalandexperimentalbasedframeworkforfuelcellsystemfatigueanalysisinfrequencydomain AT mingjiewang numericalandexperimentalbasedframeworkforfuelcellsystemfatigueanalysisinfrequencydomain AT pengboguo numericalandexperimentalbasedframeworkforfuelcellsystemfatigueanalysisinfrequencydomain AT daweigao numericalandexperimentalbasedframeworkforfuelcellsystemfatigueanalysisinfrequencydomain AT yunkaigao numericalandexperimentalbasedframeworkforfuelcellsystemfatigueanalysisinfrequencydomain |