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Vehicle Velocity and Road Friction Coefficient Estimation for Anti-lock Braking System

机译:防锁制动系统的车辆速度和道路摩擦系数估计

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Many studies take the slip as the major input for anti-lock braking system (ABS) controller. However, slip can only be calculated by vehicle velocity and wheel speed. The vehicle velocity cannot be measured by low cost sensors. In this paper, a vehicle velocity estimation and a friction coefficient estimation methods are proposed. The vehicle velocity estimation just requires wheel speed, wheel deceleration, brake pedal flag, and ABS enable flag. During the estimation, the friction of the road can also be obtained. The methods have been applied to real car ABS test data. There are four different road surface conditions including uniform low friction ($mu$), high $mu$, and $mu$ jump from both low to high and the opposite. According to the results, the deviation between estimated velocity and the ground truth is at maximum 1.57 m/s on $mu$ jump road surface which is from high $mu$ to low $mu$. As for other road surfaces, it provides more accurate outcome. The corresponding estimation of friction coefficient is close to reality. Moreover, the results show that the transition of road condition can be detected quickly. The proposed methods are proved effective for velocity estimation and friction coefficient estimation, which are beneficial for ABS control.
机译:许多研究将滑移作为防锁制动系统(ABS)控制器的主要输入。然而,滑动只能通过车速和车轮速度来计算。车辆速度不能通过低成本传感器测量。本文提出了一种车辆速度估计和摩擦系数估计方法。车辆速度估计只需要轮速,车轮减速,制动踏板标志和ABS使能标志。在估计期间,也可以获得道路的摩擦。该方法已应用于真实的汽车ABS测试数据。有四种不同的道路表面条件包括均匀的低摩擦($ mu $),高$ mu $,以及$ mu $跳跃从低到高,相反。根据结果​​,估计速度与地面事实之间的偏差最多1.57米/秒在$ mu $跳道路面,从高价为 mu $到低$ mu $。至于其他道路表面,它提供了更准确的结果。对摩擦系数的相应估计接近现实。此外,结果表明可以快速检测道路状况的转变。证明了所提出的方法对于速度估计和摩擦系数估计有效,这对ABS控制有益。

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