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汽车安全与节能学报 ›› 2021, Vol. 12 ›› Issue (4): 490-498.DOI: 10.3969/j.issn.1674-8484.2021.04.007

• 汽车安全 • 上一篇    下一篇

基于VRUs深度事故重建的AEB效能对头部损伤风险的影响

韩勇1,2,3(), 李永强1(), 许永虹1, 王丙雨1,2, 高秀晶1,2, 黄红武1,2, 聂冰冰3   

  1. 1.厦门理工学院机械与汽车工程学院,厦门 361024,中国
    2.福建省客车及特种车辆研发协同创新中心,厦门 361024,中国
    3.汽车安全与节能国家重点实验室,清华大学,北京 100084,中国
  • 收稿日期:2021-06-27 出版日期:2021-12-31 发布日期:2022-01-10
  • 作者简介:韩勇(1984—), 男(汉),江西,教授。E-mail: yonghan@xmut.edu.cn
    李永强(1995—),男(汉),福建,硕士研究生。E-mail: 827905617@qq.com
  • 基金资助:
    汽车安全与节有国家重点实验室开放基金(KF2005);国家自然科学基金(51775466);福建省自然科学杰出青年科学基金(2019J06022)

Effectiveness of AEB system for head injury risk based on VRUs in-depth accident reconstruction

HAN Yong1,2,3(), LI Yongqiang1(), XU Yonghong1, WANG Bingyu1,2, GAO Xiujing1,2, HUANG Hongwu1,2, NIE Bingbing3   

  1. 1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China
    2. Fujian Collaborative Innovation Center for R&D of Coach and Special Vehicle, Xiamen, 361024, China
    3. The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
  • Received:2021-06-27 Online:2021-12-31 Published:2022-01-10

摘要:

为保护道路弱势使用群体(VRUs,含行人和二轮车骑车人)的、主被动一体化的、汽车安全性设计提供理论参考依据,该文利用高精度事故再现和事故碰撞前场景重建方法,分析了VRU事故的汽车自动紧急制动系统(AEB)的传感器探测角(FOV)及制动减速度等参数的防护效能及VRUs头部损伤风险。结果表明:FOV为30°时事故规避率为45%;当FOV增加到40°、50°和90°时,较FOV为30°事故规避率又分别增加了5%、10%和20%;在FOV为90°,减速度为0.8 g时,即碰时间 (TTC)为1 s工况下,车辆平均碰撞速度降低最为明显,高达84%;AEB介入能降低VRUs与车辆前部撞击造成的损伤,但在头部落地损伤存在不确定性。

关键词: 道路弱势使用者(VRUs), 自动紧急制动系统(AEB), 头部损伤, 事故重建, 多体分析, 传感器探测角(FOV)

Abstract:

In order to provide a theoretical reference for the active-passive integrated safety vehicle design for Vulnerable Road Users (VRUs), which including pedestrians and two-wheelers, protection, this paper analyzed the protection effectiveness of some parameters such as the Field Of View in sensor detection (FOV), and the braking deceleration of automotive Automatic Emergency Braking (AEB) systems and the head injury risk for VRUs in accidents by using a high precision accident reproduction and some pre-crash scenario reconstruction methods. The results show that the accident avoidance rate is 45% when the FOV is 30°; The accident avoidance rate increases by 5%, 10% and 20% when the FOV is 40°, 50° and 90° respectively compared with the FOV of 30°; The average vehicle crash speed reduces significantly, up to 84%, for the Time To Collision (TTC) in 1 s, when the FOV reaches 90° at a deceleration of 0.8 g; There is uncertainty in the head landing damage although AEB intervention could reduce the damages caused by the impacts between VRUs and the vehicle front.

Key words: vulnerable road users (VRUs), automatic emergency braking (AEB) system, head injury, accident reconstruction, multi-body analysis, field of view in sensor detection (FOV)

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