公开(公告)号：US20250005231A1

公开(公告)日：2025-01-02

申请号：US18434006

申请日：2024-02-06

Applicant: CITIC Dicastal Co., Ltd.

Inventor： Decai KONG ,  Yuling LANG ,  Shiwen XU ,  Zhihua ZHU ,  Shenglong YUAN ,  Wenbo WANG ,  Yiwu DU ,  Jingjing WANG ,  Weixin WANG ,  Shaobing HUANG

IPC: G06F30/23 ,  G06F30/15 ,  G06F30/27 ,  G06F119/14

Abstract: A method and system for inversion of tire material parameters for wheel performance simulation. Based on a plurality of sets of test data obtained through tire radial rigidity and lateral rigidity tests, a tire radial rigidity and lateral rigidity test finite element simulation model is established, and error calculation is performed by comparing simulation results; and then the tire material parameters are optimized by optimizing a platform and combining results of error analysis, and a simulation process is circulated until the error is minimal, which is fitting of a test curve and a simulation curve. By using a neural network model, rapid inversion of the tire material parameters may be realized by using the neural network model only through non-destructive tire rigidity test data. The tire material parameters may be modified according to a large deformation process of a tire in a 90-degree impact test of a wheel.