基于路面附着系数估计的汽车纵向碰撞预警策略

发布时间：2018-04-07 19:03

本文选题：车辆工程　切入点：碰撞预警　出处：《汽车工程》2016年04期

【摘要】：本文中提出了一种基于路面附着系数估计的自适应汽车纵向碰撞预警策略。首先建立了碰撞预警安全距离模型,分析了路面附着系数对碰撞预警策略的影响;接着给出了基于最小二乘法和斜率法的路面附着系数估算算法,可实现全滑移率工况的路面附着系数精确识别;在此基础上,建立了基于路面识别的汽车纵向碰撞预警策略;最后分别进行了Matlab/Simulink-Car Sim联合仿真和实车测试。结果表明,本文提出的预警策略可准确估算路面附着系数,并据此自适应调节碰撞预警策略,能够在不同工况下有效提高预警准确性和道路空间利用率。
[Abstract]:In this paper, an adaptive vehicle longitudinal collision warning strategy based on road adhesion coefficient estimation is proposed.Firstly, the safety distance model of collision warning is established, and the influence of pavement adhesion coefficient on collision warning strategy is analyzed, and then the estimation algorithm of pavement adhesion coefficient based on least square method and slope method is presented.The road adhesion coefficient can be accurately identified under the condition of full slip ratio. On this basis, the vehicle longitudinal collision warning strategy based on road surface recognition is established. Finally, the Matlab/Simulink-Car Sim joint simulation and real vehicle test are carried out respectively.The results show that the proposed early warning strategy can accurately estimate the adhesion coefficient of road surface and adjust the collision warning strategy adaptively, which can effectively improve the accuracy of early warning and the utilization rate of road space under different working conditions.
【作者单位】：吉林大学汽车仿真与控制国家重点实验室;吉林大学工程仿生教育部重点实验室;
【基金】：国家自然科学基金(51105169,51475206,51575225) 吉林省科技发展计划项目(20140204010GX)资助
【分类号】：U463.6

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