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Motor torque based vehicle stability control for four-wheel-drive electric vehicle

机译:基于电动机扭矩的四轮驱动电动车辆的车辆稳定性控制

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Motor torque based active yaw moment control law is investigated in this paper, based on which vehicle stability control algorithm for four-wheel-drive electric vehicle is proposed using fuzzy logic control method. As four motors are mounted in the four wheels individually to drive the vehicle, it has great advantage to use the advanced motion control technique to enhance vehicle stability. The four driving and braking forces can be controlled independently to generate active yaw moment. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic control algorithm is designed based on the dynamic analysis of vehicle instability. The electric vehicle models including motor model, dynamic battery model, tire model and vehicle dynamics model are built in MATLAB/Simulink®. Simulation performance is evaluated in the Simulink®, and the results have shown that the design control law and fuzzy logic controller can enhance the yaw stability and improve the maneuverability of the vehicle significantly.
机译:本文研究了电动机扭矩的主动横摆力矩控制定律,基于采用模糊逻辑控制方法提出了四轮驱动电动车辆的车辆稳定性控制算法。由于四个电动机安装在四个轮子中,单独安装在四个轮子中以驱动车辆,使用先进的运动控制技术来提高车辆稳定性具有很大的优势。可以独立地控制四个驱动和制动力以产生主动偏航矩。然而,将所需的偏航矩分配给过致动器更复杂。因此,基于车辆不稳定的动态分析设计了模糊逻辑控制算法的控制定律。包括电机模型,动态电池型号,轮胎模型和车辆动力学模型的电动车辆型号内置MATLAB /Simulink®。在Simulink®中评估了仿真性能,结果表明,设计控制法和模糊逻辑控制器可以提高偏航稳定性,并显着提高车辆的可动​​性。

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