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作 者:杨鸿福 周红妮[1] 冯樱[1] Yang Hongfu;Zhou Hongni;Feng Ying(Hubei Key Laboratory of Automotive Power Train and Electronic Control,Hubei University of Automotive Technology,Shiyan 442002,China)
机构地区:[1]湖北汽车工业学院汽车动力传动与电子控制湖北省重点实验室,湖北十堰442002
出 处:《湖北汽车工业学院学报》2023年第1期29-33,共5页Journal of Hubei University Of Automotive Technology
基 金:湖北省教育厅科研计划优秀中青年项目(Q20191805);汽车动力传动与电子控制湖北省重点实验室创新基金(2015XTZX0414)。
摘 要:为了使车辆充分利用路面附着力,提出了实时路面识别算法。以车轮滑移率为控制目标,建立逻辑门限值控制器和典型路面曲线指数模型。在CarSim中建立整车模型,设定不同工况下的制动模拟试验,以左前轮为研究对象,估算当前路面的峰值附着系数和最优滑移率。结果表明:建立的逻辑门限值控制器有效提高了汽车的制动性和安全性,算法可以较为精确地估算出行驶过程中的路面附着系数和最优滑移率。In order to make full use of the road adhesion,a real-time road recognition algorithm was proposed.A logic threshold controller and typical road curve index model were established with wheel slip rate as the control target.The vehicle model was established in CarSim,and braking simulation tests were carried out under different working conditions.The peak adhesion coefficient and optimal slip rate of the current road surface were estimated by taking the left front wheel as the research object.The results show that the logic threshold controller can effectively improve the vehicle braking and safe⁃ty.And the algorithm can accurately estimate the road adhesion coefficient and the optimal slip rate in the driving process.
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