Gori Valerio, Hendrix Will, Das Amritam, Sun Zhiyong
Faculty of Mechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Sensors (Basel). 2024 May 31;24(11):3557. doi: 10.3390/s24113557.
This paper describes control methods to improve electric vehicle performance in terms of handling, stability and cornering by adjusting the weight distribution and implementing control systems (e.g., wheel slip control, and yaw rate control). The vehicle is first simulated using the bicycle model to capture the dynamics. Then, a study on the effect of weight distribution on the driving behavior is conducted. The study is performed for three different weight configurations. Moreover, a yaw rate controller and a wheel slip controller are designed and implemented to improve the vehicle's performance for cornering and longitudinal motion under the different loading conditions. The simulation through the bicycle model is compared to the experiments conducted on a rear-wheel driven radio-controlled (RC) electric vehicle. The paper shows how the wheel slip controller contributes to the stabilization of the vehicle, how the yaw rate controller reduces understeering, and how the location of the center of gravity (CoG) affects steering behavior. Lastly, an analysis of the combination of control systems for each weight transfer is conducted to determine the configuration with the highest performance regarding acceleration time, braking distance, and steering behavior.
本文介绍了通过调整重量分布和实施控制系统(如车轮滑移控制和横摆率控制)来改善电动汽车在操控性、稳定性和转弯方面性能的控制方法。首先使用自行车模型对车辆进行模拟以捕捉其动力学特性。然后,开展了一项关于重量分布对驾驶行为影响的研究。该研究针对三种不同的重量配置进行。此外,设计并实施了横摆率控制器和车轮滑移控制器,以改善车辆在不同负载条件下的转弯和纵向运动性能。通过自行车模型进行的模拟与在一辆后轮驱动的无线电遥控(RC)电动汽车上进行的实验进行了比较。本文展示了车轮滑移控制器如何有助于车辆的稳定,横摆率控制器如何减少转向不足,以及重心(CoG)位置如何影响转向行为。最后,对每种重量转移情况下的控制系统组合进行了分析,以确定在加速时间、制动距离和转向行为方面性能最佳的配置。