主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2024, Vol. 49 ›› Issue (14): 90-94.DOI: 10.16638/j.cnki.1671-7988.2024.014.017

• 测试试验 • 上一篇    

自动驾驶车辆 AEB 系统控制策略研究

刘世江,曹景胜,纪苏宁,沙俊良   

  1. 辽宁工业大学 汽车与交通工程学院
  • 发布日期:2024-07-25
  • 通讯作者: 刘世江
  • 作者简介:刘世江(2000-),男,硕士研究生,研究方向为智能汽车关键技术,E-mail:1400773815@qq.com。
  • 基金资助:
    辽宁省教育厅基本科研项目(面上项目)(LJKMZ20220976)。

Research on Control Strategy of AEB System for Autonomous Driving Vehicles

LIU Shijiang, CAO Jingsheng, JI Suning, SHA Junliang   

  1. School of Automotive and Transportation Engineering, Liaoning University of Technology
  • Published:2024-07-25
  • Contact: LIU Shijiang

摘要: 随着智能驾驶辅助系统的迅猛发展,自动紧急制动(AEB)系统是智能导航的一个关 键部分,已成为减少道路意外的一项重要技术措施,并成为汽车行业发展的一种不可避免的 趋势。同时,AEB 系统的工作效能直接关系到驾乘人员的生命安全,文章首先对 AEB 系统工 作原理进行分析;其次对碰撞时间模型(TTC)、Mazda 模型、Honda 模型三种模型进行理论 分析;最后通过实车测试来分析在各工况下的制动效果。结果表明,在不干扰扰驾驶员正常 驾驶前提下,这三种模型中,TTC 模型的纵向避撞性能最优;三种模型在车辆上能较好的形 成对比,而模型也没有出现对车辆任何的排斥反应。

关键词: 自动驾驶;AEB 系统;控制策略;测试工况

Abstract: With the rapid development of intelligent driving assistance systems, automated emergency braking (AEB) system is a key part of intelligent navigation, has become an important technical measure to reduce road accidents, and has become an inevitable trend in the development of the automotive industry. At the same time, the working efficiency of AEB system is directly related to the safety of drivers and passengers. This article first analyzes the working principle of the AEB system; Secondly, theoretical analysis will be conducted on the time to collision (TTC) model, Mazda model, and Honda model; Finally, analyzes the braking effect under various working conditions through actual vehicle testing. The results show that, under the premise of not disturbing the driver's normal driving, the TTC model has the best longitudinal collision avoidance performance among these three models; The three models can form a good comparison on the vehicle, and there is no rejection reaction to the vehicle in the models.

Key words: Autonomous driving; AEB system; Control strategy; Test condition