Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation
Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation
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DOI：
10.1155/2017/3035124
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发表时间：
2017-11
影响因子：
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通讯作者：
Gaojian Cui;Jinglei Dou;Li Shaosong;Xilu Zhao;Lu Xiaohui;Yu Zhixin
中科院分区：
文献类型：
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作者：
Gaojian Cui;Jinglei Dou;Li Shaosong;Xilu Zhao;Lu Xiaohui;Yu Zhixin
轮胎-路面摩擦系数的实时变化是影响车辆安全性能的重要因素之一。此外，车轮的锁止也成为一个重要的问题。为了解决这些问题，本文提出了一种基于轮胎-路面摩擦系数估计的电动汽车滑移率控制方法。首先，提出了一种新的方法来估计轮胎-路面摩擦系数，然后根据估计结果确定参考滑移率。最后，根据参考滑移率，设计了基于模型预测控制（MPC）的滑移率控制，以防止车轮抱死。在这方面，所提出的控制器保证了最佳的制动力矩对每个车轮上的稳定区内的每个轮胎的滑移率单独控制。理论分析和仿真结果表明，所提出的控制器能有效地提高制动性能。
The real-time change of tire-road friction coefficient is one of the important factors that influence vehicle safety performance. Besides, the vehicle wheels’ locking up has become an important issue. In order to solve these problems, this paper comes up with a novel slip control of electric vehicle (EV) based on tire-road friction coefficient estimation. First and foremost, a novel method is proposed to estimate the tire-road friction coefficient, and then the reference slip ratio is determined based on the estimation results. Finally, with the reference slip ratio, a slip control based on model predictive control (MPC) is designed to prevent the vehicle wheels from locking up. In this regard, the proposed controller guarantees the optimal braking torque on each wheel by individually controlling the slip ratio of each tire within the stable zone. Theoretical analyses and simulation show that the proposed controller is effective for better braking performance.