汽车工程 ›› 2022, Vol. 44 ›› Issue (8): 1117-1125.doi: 10.19562/j.chinasae.qcgc.2022.08.001

所属专题: 智能网联汽车技术专题-规划&控制2022年

• •    下一篇

强降雨场景下自适应巡航控制系统的安全控制策略

赵超1,卜德旭1,曹礼鹏1,2,李克强1,罗禹贡1()   

  1. 1.清华大学车辆与运载学院,汽车安全与节能国家重点实验室,北京  100084
    2.重庆大学机械与运载工程学院,重庆  400030
  • 收稿日期:2022-02-06 修回日期:2022-03-17 出版日期:2022-08-25 发布日期:2022-08-25
  • 通讯作者: 罗禹贡 E-mail:lyg@mail.tsinghua.edu.cn
  • 基金资助:
    政府间国际科技创新合作重点专项(2019YFE0100200);国家自然科学基金项目(51975310);华为-清华智能驾驶和高精度地图关键技术验证平台合作项目联合资助

Safety Control Strategy for Adaptive Cruise Control System in Heavy Rainfall Scenes

Chao Zhao1,Dexu Bu1,Lipeng Cao1,2,Keqiang Li1,Yugong Luo1()   

  1. 1.School of Vehicle and Mobility,Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing  100084
    2.College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing  400030
  • Received:2022-02-06 Revised:2022-03-17 Online:2022-08-25 Published:2022-08-25
  • Contact: Yugong Luo E-mail:lyg@mail.tsinghua.edu.cn

摘要:

本文针对强降雨场景下毫米波雷达的目标运动非预期测量误差较大引发ACC系统的预期功能安全问题,提出了强降雨场景下自适应巡航控制系统的安全控制策略。首先使用双状态卡方对毫米波雷达输出的目标信息进行检验,以确定其是否存在安全风险;接着通过卡尔曼滤波对存在安全风险的目标信息进行修正;然后将修正的目标信息输入ACC控制器控制车辆运动状态,实现安全控制;最后通过搭建的Prescan/Simulink联合仿真平台对提出的安全控制策略进行了仿真验证。结果表明:双状态卡方检验可及时检测风险信息(检测时间偏差在1.31 s以内),卡尔曼滤波修正误差在3.66 m以内,有效保证了ACC系统在强降雨场景下安全稳定运行。

关键词: 自适应巡航控制系统, 预期功能安全, 强降雨, 安全控制策略

Abstract:

Aiming at the issue of safety of intended functionality (SOTIF) of adaptive cruise control (ACC) system caused by the large unintended measurement error of target movement of millimeter wave radar in heavy rainfall scenes, a SOTIF safety control strategy for ACC system in heavy rainfall scenes is proposed in this paper. Firstly, double-state Chi-square is used to check the target information output by millimeter-wave radar to determine whether there exist SOTIF risks. Then the target information with safety risk is corrected by Kalman filter, with the target information corrected input into ACC controller to control vehicle motion state for achieving safety control. Finally, the Prescan/Simulink co-simulation platform is built to conduct verification simulation on the safety control strategy proposed. The results show that double-state Chi-square test can timely detect risk information with a detection time deviation within 1.31 s and a distance correction error of Kalman filter within 3.66 m, effectively ensuring the safe and stable operation of ACC system in heavy rainfall scenes.

Key words: adaptive cruise control system, safety of the intended functionality, heavy rainfall, safety control strategy