考虑侧偏接地特性的轮胎侧偏角估计OA
Estimation of tire sideslip angle considering sideslip grounding characteristics
提出一种基于 BP 神经网络的轮胎侧偏角估计方法,通过 ABAQUS 软件建立 205/55R16 子午线轮胎的有限元模型,搭建轮胎静力学试验台架,通过对比垂向刚度曲线验证了模型的有效性.在轮胎稳态滚动工况下,设置不同侧偏角参数,分析其接地特性变化.基于侧偏工况下获取的数据,构建 BP 神经网络侧偏角预测模型.结果表明,该模型能够有效预测轮胎侧偏角,具备良好的泛化能力和精度,为车辆稳定性控制提供参考.
As a critical state variable characterizing tire-road interaction,tire sideslip angle is essential for vehicle stability control as well as vehicle state and parameter estimation.This paper proposes a sideslip angle estimation method based on a BP neural network.First,a finite element model of a 205/55R16 radial tire was developed using ABAQUS software.A tire static test bench was built and the model's validity was verified by comparing vertical stiffness curves.Next,under steady-state rolling conditions,various sideslip angle parameters were set to analyze the changes in tire contact characteristics.Finally,based on the data obtained under sideslip conditions,a neural network model for sideslip angle prediction was developed.Results show the proposed model effectively predicts the tire sideslip angle with good generalization capability and accuracy,providing some insights into vehicle stability control.
张榕九;李波;贝绍轶;林棻
江苏理工学院 汽车与交通工程学院,江苏 常州 213001江苏理工学院 汽车与交通工程学院,江苏 常州 213001||清华大学苏州汽车研究院,江苏 苏州 215200||吉林大学 汽车底盘集成与仿生全国重点实验室,长春 130022江苏理工学院 汽车与交通工程学院,江苏 常州 213001南京航空航天大学 能源与动力学院,南京 210016
交通工程
轮胎仿真侧偏角接地特性BP神经网络
tire simulationsideslip anglegrounding characteristicsBP neural network
《重庆理工大学学报》 2026 (13)
70-77,8
汽车底盘集成与仿生全国重点实验室开放基金项目(20230206)清华大学智能绿色车辆与交通全国重点实验室项目(KFY260304)江苏省高校自然科学基金重大项目(21KJA580001)常州国际科技合作基金项目(CZ20220031)
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