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Speed control of electric vehicle using fuzzy logic controller

机译:使用模糊逻辑控制器的电动汽车速度控制

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摘要

In this paper, the utilization of regenerative braking energy to control the speed of electric vehicle based on fuzzy logic controller is discussed. A fuzzy logic controller established is sugeno type. The output of motor controller of electric vehicle with fuzzy logic controller is acting as feedback to motor and improvement in speed of vehicle is observed. Under condition of stability and braking safety, the proposed strategy includes two types of braking force, one is regenerative and another one is frictional. So that a large amount of kinetic energy can be converted into electrical energy form and this electrical energy can be stored in the storage device like battery. This strategy is used to use the motor's regenerative braking characteristics. Modeling of FLC (fuzzy logic controller) is done under the MATLAB/Simulink software. Simulation was done with different cycles and FLC is examined with SOC (state of charge) of a battery, speed of motor and required force to drive vehicle.
机译:本文讨论了基于模糊逻辑控制器的再生制动能量在电动汽车速度控制中的应用。建立的模糊逻辑控制器为sugeno型。带有模糊逻辑控制器的电动汽车的电动机控制器的输出作为电动机的反馈,可以观察到汽车速度的提高。在稳定和制动安全的条件下,所提出的策略包括两种制动力,一种是再生制动力,另一种是摩擦制动力。因此,大量的动能可以转换为电能形式,并且该电能可以存储在像电池那样的存储装置中。该策略用于使用电动机的再生制动特性。 FLC(模糊逻辑控制器)的建模是在MATLAB / Simulink软件下完成的。仿真是在不同的周期下完成的,并通过电池的SOC(充电状态),电机速度和驱动车辆所需的力来检查FLC。

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