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作 者:张晓龙[1] 孙仁云[1] 李锋[1] 林小龙[1]
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:《湖北汽车工业学院学报》2014年第3期21-24,共4页Journal of Hubei University Of Automotive Technology
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)
摘 要:以路面附着系数为参数指标,在Burckhardt轮胎—路面数学模型的基础上设计了7种典型路面的动态识别区间,同时根据附着系数和附着系数曲线斜率之差对干鹅卵石和湿沥青路面作进一步区分,据此在制动时完成路面状态的动态识别。使用双轮模型进行仿真试验,结果表明:该方法能够准确快速地完成路面状态识别,实现了实时滑移率下的动态识别,对不同路面附着条件的利用明显改善,同时该方法具备自动纠错功能。Dynamic identification intervals of seven typical roads were designed with the road adhesion coefficient as parameter index in the mathematical tyre-road model of Burckhardt, and the roads of drypebble and wet-asphalt were distinguished according to the D-value of road adhesion coefficient and its corresponding gradient to complete dynamic identification of road condition during braking. Simulation tests based on the double-wheel model were conducted. The results show that this method can achieve road identification accurately and quickly, a dynamic recognition under real-time slip ratio, and improves the utilization of adhesion conditions of different roads, has the function of self-correction.
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