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汽车自适应巡航系统极限工况分析

Analysis on Extreme Operation Condition of Vehicle Adaptive Cruise Control System
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摘要 基于自适应巡航系统(ACC)主、目标车的运动学分析,得到了在目标车减速度较大和较小情况下ACC极限工况的理论判定条件。考虑最危险的目标车紧急制动工况,确立了ACC实际应用中极限工况的判定条件。并通过试验,确定了影响该条件的关键参数,其中制动迟滞时间td为0.214s,主车最大制动减速度依路面不同有3种典型值。根据所得的极限工况判定条件和主车最大制动减速度典型值将ACC工作区域划分为3部分,明确了ACC的有效工作区域,在汽车进入极限区域后提示驾驶员规避,防止汽车进一步进入危险区域。 Theoretical judgment condition of ACC extreme operation condition was achieved in terms of small deceleration and big deceleration of the proceeding car on the basis of kinematical analysis of host car and proceeding car in ACC. Considering the most dangerous operation condition in the proceeding car brakes urgently, the judgment condition of ACC extreme operation condition was confirmed in real use. And through tests, the td and αcmax which were the key parameters of the condition have been obtained. The conclusion was that td equals 0. 214 s and αcmax equaled three different values by three typical road surfaces. Furthermore, according to the condition and typical parameters, the working area of ACC could be divided into three parts, to define the effective areas of ACC and give the driver alarm, and prevent the vehicle from entering the dangerous area after it enters the extreme area.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2008年第6期34-37,共4页 Transactions of the Chinese Society for Agricultural Machinery
基金 福特-中国研究与发展基金资助项目(项目编号:50122155)
关键词 车辆 自适应巡航 极限工况 紧急制动 Vehicle, Adaptive cruise control, Extreme operation condition, Emergency braking
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参考文献2

  • 1Brackstone M. Car-following: a historical review[J]. Transportation Research Record, 1999, 2(4): 181--196.
  • 2Muller R, Nocker G. Intelligent cruise control with fuzzy logic[C]//IEEE Intelligent Vehicles Symposium Proceedings, 1992:173-- 174.

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