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

2024-01-2317

04/09/2024

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
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.
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DOI
https://doi.org/10.4271/2024-01-2317
Pages
10
Citation
Kim, C., O'Neill, A., and Lugaro, C., "An advanced tire modeling methodology considering road roughness for chassis control system development," SAE Technical Paper 2024-01-2317, 2024, https://doi.org/10.4271/2024-01-2317.
Additional Details
Publisher
Published
Apr 09
Product Code
2024-01-2317
Content Type
Technical Paper
Language
English