摘要
AEB自动紧急制动(含FCW前向碰撞报警)功能能够有效减少或缓解碰撞事故的发生,但由于国内交通状况复杂,驾驶员驾驶习惯比较激进、随意,导致国内驾驶员对AEB功能的满意率欠佳,本文通过文献调研、用户意见搜集等方式,采集国内车型现有AEB误动作的典型场景,尤其是关于碰撞报警以及制动干预等方面的功能表现,结合AEB工作机理分析误动作发生的主要原因,基于典型国内交通场景并以C-NCAP星级评价等为开发目标进行优化设计,最后通过Matlab/Simulink和PreScan等仿真工具对优化方案进行了虚拟验证。
AEB（Autonomous Emergency Brake） including FCW（Forward Collision Warning） function can effectively reduce or mitigate traffic accidents. However, the satisfaction rate of AEB function is poor in China because of the complex traffic situation, aggressive and rule-less driving habits. This paper collected typical false positive scenarios of AEB with false or early warning or braking through literature study and VOC （Voice of Custom） collection etc. Based on the theoretical analysis of AEB function, root causes of false positive cases were found, and then optimization was made to reduce the false warning and / or braking while meeting the safety rating goal of C-NCAP, which is greatly helpful for improving the performance of current AEB functions. CAE tools including Maflab/Simulink and PreScan were used to validate the optimization scheme virtually.
作者
黄福俊
HUANG Fu-jun(Tongji University,Shanghai 200000,China)
出处
《汽车科技》
2018年第6期42-49,共8页
Auto Sci-Tech
关键词
机理分析
CAE
优化设计
C-NCAP
AEB
false positive
root-cause analysis
CAE
optimization design
C-NCAP
