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 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.

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Publication Details

Journal
Machines
Published
2024-12-30
DOI
https://doi.org/10.3390/machines13010018
Citations
3
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.63

Funders

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article

Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain

Dawei Gao, Pengbo Guo, Mingjie Wang, Zhe Liu et al.
3 citations
Machines
Fuel Cells and Related Materials
0.63
article

Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain

Dawei Gao, Pengbo Guo, Mingjie Wang, Zhe Liu, Yunkai Gao
article en
3 citations

Abstract

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.

MachinesVol. 13(1)
Tongji University (CN), University of Shanghai for Science and Technology (CN)
National Natural Science Foundation of China
Responsible consumption and production
Openalex Percentile: Top 30%
Fuel Cells and Related Materials
0.63
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Numerical and Experimental-Based Framework for Fuel Cell System Fatigue Analysis in Frequency Domain — Dawei Gao, Pengbo Guo, et al. · Machines (2024) | TGRS Research Map | TGRS