【作者】 王诗超； 齐志权； 陈思忠； 喻阳梅； 史宏松；

【Author】 Wang Shichao;Qi Zhiquan;Chen Sizhong;Yu Yangmei;Shi Hongsong;School of Mechanical and Vehicle Engineering,Beijing Institute of Technology;

【机构】 北京理工大学机械与车辆学院；

【摘要】 纵向速度是汽车主被动安全系统中一个非常重要的参数,对纵向车速的准确估计直接关系到行车安全。本文主要基于车辆运动学,建立车辆运动学模型,在多种工况下通过多种传感器信号的融合对车速进行准确估计,使用CasimSimulink联合仿真及实车实验数据对估计算法进行验证。仿真及实验结果表明,估计算法能对纵向速度进行准确估计。更多还原

【Abstract】 The longitudinal speed of the vehicle is a very important parameter in the active and passive safety system of the vehicle.The accurate estimation of the longitudinal speed is directly related to driving safety.Based on vehicle kinematics,this paper establishes a vehicle kinematics model,and accurately estimates the vehicle speed through the fusion of various sensor signals under various working conditions.The Casim-Simulink joint simulation and real vehicle experimental data are used to verify the estimation algorithm.Simulation and experimental results show that the estimation algorithm can accurately estimate the longitudinal speed.更多还原