Open AccessResearch on tire model parameter identification strategy based on CDTire/3D
Author(s) -
Feng Gao,
Nai Yan Zhan,
Xiaoyang Bu,
X. R. Li,
Yong Bo Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/4/042019
Subject(s) - noise, vibration, and harshness , automotive industry , durability , identification (biology) , automotive engineering , stability (learning theory) , noise (video) , computer science , engineering , vibration , artificial intelligence , physics , botany , image (mathematics) , quantum mechanics , database , machine learning , biology , aerospace engineering
High accuracy tire modeling is essential to study the automotive fatigue-durability, handling-stability, and NVH performance in the virtual proving ground. Compared with other tire models, CDTire/3D can be directly used in multi-body dynamics simulation, and its linearized version can be adopted in road noise analysis. In consideration of its high generality for cost saving, CDTire/3D has an extensive engineering application prospective in the automotive industry. It is the critical technique to accomplish high-efficiency and high-precision CDTire/3D modeling by investigating the mechanical mechanism of tire and the influence of parameters on all test conditions, based on which a parameter identification strategy is conducted in this paper. The effectiveness of the strategy is verified by a tire modeling case.