Vehicle Handling Prediction with Hybrid Uncertainty Using a New Analysis Method 2015-01-0650
Practical vehicle contains many uncertainties which may result from poorly known or variable parameters or from uncertain inputs. These uncertainties can be presented by fuzzy parameters, random parameters or interval parameters. A new uncertain analysis method is applied to the case in which the vehicle system contains both random parameters and interval parameters. This new uncertain method is a systematic integration of the Polynomial Chaos (PC) theory which accounts for random uncertainty and Chebyshev inclusion function theory which accounts for interval uncertainty. A multi-body vehicle model with both random parameters and interval parameters is used as a numerical model and vehicle handling is investigated in details. The Monte Carlo method combined with the scanning method is used to demonstrate the effectiveness of the proposed method for vehicle handling.
Citation: Feng, X., Wu, J., Zhang, Y., and Jiang, M., "Vehicle Handling Prediction with Hybrid Uncertainty Using a New Analysis Method," SAE Technical Paper 2015-01-0650, 2015, https://doi.org/10.4271/2015-01-0650. Download Citation
Author(s):
Xingxing Feng, Jinglai Wu, Yunqing Zhang, Ming Jiang
Affiliated:
Huazhong University of Science and Tech, Dongfeng Commercial Vehicle Tech Ctr
Pages: 8
Event:
SAE 2015 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Vehicle handling
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