Prediction Optimization Study of Strapping Parameters for In-Vehicle Hydrogen Storage Cylinders under Random Vibration based on GA-XGBoost
In recent years, fuel cell vehicles have garnered increasing attention due to their zero emissions and zero pollution characteristics, and the application of in-vehicle hydrogen storage cylinders has become more and more common. During vehicle operation, factors such as uneven road surfaces and internal vibrations inevitably subject the in-vehicle hydrogen storage cylinders to vibrations. Consequently, it becomes imperative to conduct a mechanical analysis to assess their response to random vibration loads and subsequently optimize their structure. This article presents an approach to optimize the strapping parameters for in-vehicle hydrogen storage cylinders, utilizing the GA-XGBoost model. Ansys Workbench is employed to perform power spectral density-based random vibration analysis on in-vehicle high-pressure hydrogen storage cylinders (Type III) affixed with straps. A hundred sets of different strapping parameters (spacing, thickness, and width) were randomly generated The stress analysis of hydrogen storage cylinders under various strapping parameters was conducted, and an XGBoost model was established to predict the strapping parameters. The model achieved an R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of 0.945. Additionally, Genetic Algorithm was utilized to predict the optimal strapping parameters, aiming to minimize the stress of hydrogen storage cylinders. The findings reveal that for the Type III hydrogen storage cylinder examined, the optimal strapping parameters are as follows: spacing of 625 mm, thickness of 17 mm, and width of 58 mm, resulting in a stress value of 1920.49 Pa. Validation analysis of the model demonstrates a stress value of 1921.5 Pa, with a prediction error of 0.52%. This study offers theoretical underpinning for the PSD random vibration analysis and aids in the selection of strapping parameters for in-vehicle high-pressure hydrogen storage cylinders.
Authors
- Junqi Yao
- Yan Yin (ORCID: https://orcid.org/0000-0003-1655-6831)
- Ting Guo (ORCID: https://orcid.org/0000-0001-5130-3237)
- Zhikun Qin
- Fan Zhang (ORCID: https://orcid.org/0009-0001-0721-340X)
Institutions
- Tianjin University (CN)
- China Automotive Technology and Research Center (CN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/ictle62418.2024.10703920
- Citations
- 1
- Primary Topic
- Mechanical stress and fatigue analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.27
Funders
- Research and Development