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车辆稳定性因数自学习策略研究

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稳定性因数是表征汽车稳态响应的关键参数,对车辆横摆控制至关重要.由于影响稳定性因数的因素众多,如整车质量、质心位置、轮胎气压和侧偏刚度等,准确获取稳定性因数颇具难度.同时,车辆行驶过程中,轮胎磨损、胎压变化或轮胎型号改变等都会导致稳定性因数变化,进而影响车辆横摆控制.基于此背景,文章以稳定性因数理论模型为基础,结合车辆运动学方程,开发车辆稳定性因数自学习策略.实车测试表明,该方法能有效修正车辆稳定性因数,提升横摆控制效果.
Research on Self-learning Strategy of Vehicle Stability Factor
Stability factor is a key parameter to characterize the steady-state response of vehicles,and it is very important for vehicle yaw control.Due to many factors affecting the stability factor,such as vehicle mass,center of mass position,tire pressure and side stiffness,it is difficult to obtain the stability factor accurately.At the same time,in the process of vehicle driving,tire wear,tire pressure changes or tire model changes will lead to changes in the stability factor,which will affect the vehicle yaw control.Based on this background,this paper develops the vehicle stability factor self-learning strategy based on the stability factor theory model and vehicle kinematics equation.The test results show that this method can effectively modify the vehicle stability factor and improve the yaw control effect.

yaw controlstability factorself-learning

李顺波、汪震隆、梁海波

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吉利汽车研究院(宁波)有限公司,浙江宁波 315336

横摆控制 稳定性因数 自学习

2025

汽车电器
长沙汽车电器研究所

汽车电器

影响因子:0.195
ISSN:1003-8639
年,卷(期):2025.(1)