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机构地区:[1]西华大学交通与汽车工程学院,四川成都610039
出 处:《中国测试》2015年第8期31-35,共5页China Measurement & Test
基 金:四川省科技厅应用基础项目(2012JY0049);西华大学人才培养与引进基金项目(R0920301);西华大学研究生创新基金项目(ycjj2015148)
摘 要:要使汽车制动时能够充分利用路面的附着条件,需要对当前路面进行识别,同时根据识别结果实时调整系统的目标滑移率。在Burckhardt轮胎-路面模型基础上,引入"路面特征系数"的概念(它表示路面附着系数与附着系数曲线斜率之和),给出7种典型路面的路面特征系数曲线,建立动态识别区间,据此在制动过程中实现路面的动态识别。基于单轮车辆模型进行制动仿真试验,结果表明该方法能够迅速准确地完成路面识别,制动时充分利用路面的附着条件,同时具备自动纠错功能。It is necessary to identify the road surface so as to make full use of its adhesive condition during braking, and accordingly to adjust the target slip ratio in real time. The concept of road characteristic coefficient-the sum of road adhesion coefficient and its gradient-was introduced based on the Burckhardt tyre-road model. Seven typical road characteristic coefficient curves and corresponding dynamic identification intervals were established to identify dynamically the pavement condition during braking. At the same time, brake simulation tests were conducted based on a single-wheel model, and the experimental results show that the method discussed in the paper can quickly and accurately determine road conditions and automatically correct errors.
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