电动汽车变制动工况的模糊逻辑控制

V. Vodovozov, Z. Raud, A. Aksjonov, E. Petlenkov
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引用次数: 1

摘要

本文主要研究道路电动汽车制动操纵的实际问题。本文对汽车制动方面的多项研究进行了分类,分析了它们对能量回收的态度。设计的MATLAB/Simulink™模型主要研究轮胎-路面摩擦不确定性下制动力矩的梯度模糊逻辑控制。评估的性能变量包括再生能量、车辆和车轮速度、车轮纵向滑移以及汽车所经历的、分布在电动制动器和摩擦制动器之间的应用扭矩。在此,渐进和紧急防抱死制动过程的完整性是基于统一的方法与商定的行动来确保的。仿真得到的解与硬件在环试验台得到的实验图进行了比较。从而证实了系统对轮胎-路面相互作用变化的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions
The paper focuses on the issues actual for braking manoeuvres of road electric vehicles. Multiple researches carried out on car braking are classified here on their attitude towards the energy recycling. The designed MATLAB/Simulink™ model concentrates on the gradient fuzzy logic control of braking torque under the tire-road friction uncertainty. The performance variables evaluated are regenerative energy, vehicle and wheel velocities, longitudinal wheel slip, and application torque experienced by the car and distributed between electrical and friction brakes. At this, integrity of both the gradual and the urgent antilock braking processes is ensured based on a united approach with the agreed actions. The solutions found by simulations were compared to the experimental plots obtained from a hardware-in-the-loop test rig. Thereby, the robustness of the system to changes in the tire-road interaction was confirmed.
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