制动距离
汽车工程
重心
计算机科学
主动安全
控制(管理)
预警系统
职位(财务)
控制理论(社会学)
模拟
工程类
制动器
人工智能
电信
经济
管理
财务
作者
Jian‐Hua Guo,Yinhang Wang,Xingji Yin,Peng Liu,Zhuoran Hou,Dong Liang Zhao
出处
期刊:Machines
[MDPI AG]
日期:2022-10-04
卷期号:10 (10): 895-895
被引量:6
标识
DOI:10.3390/machines10100895
摘要
Automatic emergency braking systems (AEBS) significantly improve the active safety performance of commercial vehicles, but their effectiveness is affected by the vehicle’s driving conditions, which mainly include the vehicle load and road conditions. In order to improve the adaptability of the AEBS, an AEBS control strategy with adaptive driving conditions was proposed and validated using a simulation and experimentation. This AEBS control strategy was designed based on an estimation of the vehicle mass, the center of gravity position, road grade, and the tire-road friction coefficient. In the simulation and experimental verification, the braking deceleration and braking distance under different driving conditions were compared. The results show that the AEBS control strategy proposed in this paper can avoid collisions in all test scenarios and maintain a parking spacing of approximately 5 m. In an extreme test scenario with a full load and low tire–road friction, as compared with the fixed threshold control strategy, the warning can be issued 0.2 s earlier and the maximum intensity braking can be carried out 0.5 s earlier.
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