Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation
Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation
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DOI：
10.1007/s12239-018-0070-8
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发表时间：
2018-06
影响因子：
1.6
通讯作者：
A. Aksjonov;V. Vodovozov;K. Augsburg;E. Petlenkov
中科院分区：
文献类型：
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作者：
A. Aksjonov;V. Vodovozov;K. Augsburg;E. Petlenkov
提出了一种具有路面检测功能的再生式防抱死制动系统控制方法。所提出的方法的目的是提高电动汽车的安全性和能源经济性在制动操作。车身纵向减速度用于估计路面。基于估计结果，控制器产生适当的制动扭矩，以保持各种路面的最佳车轮滑移，并在车辆减速期间为给定的电动机再生最大可能量的能量。一个模糊逻辑控制器被应用到完成任务。在四轮电机驱动的运动型多用途电动车模型上对该控制方法进行了测试。该模型是根据车辆制造商提供的规范构建和参数化的。介绍了在干路面、湿路面和结冰路面等不同路面上进行的模拟结果。
This paper presents a regenerative anti-lock braking system control method with road detection capability. The aim of the proposed methodology is to improve electric vehicle safety and energy economy during braking maneuvers. Vehicle body longitudinal deceleration is used to estimate a road surface. Based on the estimation results, the controller generates an appropriate braking torque to keep an optimal for various road surfaces wheel slip and to regenerate for a given motor the maximum possible amount of energy during vehicle deceleration. A fuzzy logic controller is applied to fulfill the task. The control method is tested on a four in-wheel-motor drive sport utility electric vehicle model. The model is constructed and parametrized according to the specifications provided by the vehicle manufacturer. The simulation results conducted on different road surfaces, including dry, wet and icy, are introduced.