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AYC系统基于多传感器数据融合的路面附着系数估计
引用本文:宋健,杨财,李红志,李亮.AYC系统基于多传感器数据融合的路面附着系数估计[J].清华大学学报(自然科学版),2009(5).
作者姓名:宋健  杨财  李红志  李亮
作者单位:清华大学汽车安全与节能国家重点实验室;
基金项目:国家自然科学基金资助项目(50575120)
摘    要:为提高车辆行驶安全性,研究适用于车辆稳定性控制系统的实时路面附着系数估计算法。利用多传感器数据融合综合车辆稳定性控制系统的各传感器数据,从中提取轮胎-路面附着系数得到充分利用的特征信息。根据路面附着系数充分利用时的侧向加速度估算路面附着系数。通过15自由度硬件在环仿真平台以及实车试验两种方式对算法进行验证。一定条件下的仿真结果表明算法的最大估算误差不超过0.04,车辆双移线实车试验的通过率从25%提高到100%。

关 键 词:附着系数识别  多传感器数据融合  汽车动力学  算法  

Road friction coefficient estimation based on multisensor data fusion for an AYC system
SONG Jian,YANG Cai,LI Hongzhi,LI Liang.Road friction coefficient estimation based on multisensor data fusion for an AYC system[J].Journal of Tsinghua University(Science and Technology),2009(5).
Authors:SONG Jian  YANG Cai  LI Hongzhi  LI Liang
Institution:State Key Laboratory of Automotive Safety and Energy;Tsinghua University;Beijing 100084;China
Abstract:A road friction coefficient estimation algorithm was developed for dynamic stability control systems to improve driving safety.Multisensor data from the vehicle dynamic stability control system was integrated using a multisensor data fusion algorithm.Feature information was extracted to predict the tire-road friction coefficient.The road friction coefficient was estimated from the lateral acceleration when the tire-road friction was maximized.The algorithm was verified by simulations on a 15 DOF hardware-in...
Keywords:road friction coefficient estimation  multisensor data fusion  vehicle dynamics  algorithm  
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