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A regenerative braking control strategy for electric vehicle with four in-wheel motors

机译:具有四个轮毂电机的电动汽车的再生制动控制策略

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Regenerative braking control technology of electric vehicle plays a vital role in automotive energy-saving and environmental protection. Actually, there are two important aspects included in regenerative braking control. First and foremost is to maintain the vehicle safety during the braking process, and secondly is to maximize the energy recovery and minimize the energy consumption as far as possible. This paper proposes a regenerative braking control strategy to meet the above two aspects. In this research, the electric vehicle is assumed to keep straight line driving with a driver. First, according to the desired braking torques of the driver during braking process, the brake torque on front and rear axle respectively are allocated based on the tire load ratio, which makes sure that maximizing the use of tire adhesion during deceleration. Second, in order to deal with multi-objections and constraints for maximizing the energy recovery and minimizing the energy consumption, an model predictive controller is designed to distribute the brake torque between the hydraulic brake mode and the electric motor brake mode. In the end, the effectiveness of the proposed strategy is verified through the simulations of the electric vehicle model with four individually driven in-wheel motors based on Matlab/Simulink and AMESim software.
机译:电动汽车的再生制动控制技术在汽车节能环保中起着至关重要的作用。实际上,再生制动控制包括两个重要方面。首先是在制动过程中保持车辆安全,其次是使能量回收最大化,并尽可能降低能耗。针对以上两个方面,提出了一种再生制动控制策略。在这项研究中,假设电动汽车与驾驶员保持直线行驶。首先,根据驾驶员在制动过程中所需的制动扭矩,分别基于轮胎负载比分配前轴和后轴上的制动扭矩,从而确保在减速过程中最大程度地利用轮胎附着力。其次,为了处理多目标和约束以最大化能量回收和最小化能量消耗,设计了模型预测控制器以在液压制动模式和电动机制动模式之间分配制动扭矩。最后,通过基于Matlab / Simulink和AMESim软件的四个独立驱动的轮毂电动机的电动汽车模型仿真,验证了所提出策略的有效性。

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