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Dynamic Fatigue Reliability Prediction Approach of Fuel Cell Vehicle Based on Usage Scenario

  • Body and Safety, Noise, Vibration and Harshness
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Abstract

Fuel cell vehicles (FCVs) are an important direction for sustainable development of the automobile industry in the future. Still, the reliability and durability of FCVs are key technical problems affecting marketization. This study focused on fatigue reliability of FCVs under complex driving conditions. A dynamic analysis approach for fatigue reliability is proposed based on a dynamic Bayesian network and fracture mechanics (DBN-FM). According to the load spectrum data collected by an FCV on typical roads, a DBN model for the fatigue reliability of an FCV was established considering the randomness of variables in crack propagation. The practical application of the developed model is demonstrated through a case study. The results show that the DBN-FM approach can be used to predict the failure probability of FCVs under different driving distances. In addition, the weak parts of the FCV were identified, which provided theoretical guidance for its inspection and maintenance.

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Acknowledgements

Thanks are given to domain experts for their input and insight without which this research would not have been possible. This project is supported by National Key Basic Research and Development Program (No: 2022YFE0103100). The authors deeply appreciate the anonymous reviewers' insightful comments and suggestions, which helped a lot in improving the present paper.

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  1. China Automotive Technology & Research Center Co., Ltd, Tianjin, 300300, China

    Zhenyu Nie, Rongliang Liang, Zhen Wu, Ting Guo & Xiaohui Zhang

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  1. Zhenyu Nie
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  2. Rongliang Liang
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  3. Zhen Wu
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  4. Ting Guo
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  5. Xiaohui Zhang
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Correspondence to Zhenyu Nie.

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Nie, Z., Liang, R., Wu, Z. et al. Dynamic Fatigue Reliability Prediction Approach of Fuel Cell Vehicle Based on Usage Scenario. Int.J Automot. Technol. 25, 147–160 (2024). https://doi.org/10.1007/s12239-024-00024-8

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