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An advanced tire modeling methodology considering road roughness for chassis control system development Hyundai Motor Group

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Kim, Changsu, author.
Contributor:
Lugaro, Carlo
O'Neill, Alexander
Conference Name:
WCX SAE World Congress Experience (2024-04-16 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2024
Summary:
As the automotive industry accelerates its virtual engineering capabilities, there is a growing requirement for increased accuracy across a broad range of vehicle simulations. Regarding control system development, utilizing vehicle simulations to conduct pre-tuning' activities can significantly reduce time and costs. However, achieving an accurate prediction of, e.g., stopping distance, requires accurate tire modeling. The Magic Formula tire model is often used to effectively model the tire response within vehicle dynamics simulations. However, such models often: i) represent the tire driving on sandpaper; and ii) do not accurately capture the transient response over a wide slip range. In this paper, a novel methodology is developed using the MF-Tyre/MF-Swift tire model to enhance the accuracy of ABS braking simulations. The methodology developed between Hyundai Motor Company and Siemens Digital Industries Software is validated on a full-vehicle level by comparing ABS braking simulations of sandpaper', asphalt', and translated asphalt' tire models against full-vehicle measurements, where friction modeling provided a way to translate sandpaper tire models to represent tires on asphalt. Results show a much-improved correlation of the asphalt-based simulations with vehicle measurements compared with flat-trac-based simulations. Thus, the methodology provides a suitable tire model for ABS braking simulations in the early stages of vehicle development without requiring physical vehicle tests
Notes:
Vendor supplied data
Publisher Number:
2024-01-2317
Access Restriction:
Restricted for use by site license

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