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为研究纯电动汽车车载电源性能,提出并搭建了由异步电动机和直流电动机组成的在环测试平台.异步电动机用来模拟纯电动汽车的牵引电动机,直流电动机用来模拟汽车行驶时的阻力和惯量,对异步电动机和直流电动机分别实施转速控制和转矩控制.分析了电动汽车行驶工况,给出了简单循环工况下参考转速、转距和功率.设计了异步电动机调速系统转速控制器和电流控制器,建立了异步电动机调速系统的数学模型,提出了基于自适应模糊神经网络控制的异步电动机调速系统.仿真和实验结果表明,基于自适应模糊神经网络控制的调速系统明显优于PID控制的交流调速系统,在环测试平台能够较好跟踪参考转速和参考转距的变化.
In order to research the on-board power performance of a pure electric vehicle, an on-the-loop test platform consisting of an asynchronous motor and a direct current motor is proposed and set up. The asynchronous motor is used to simulate the traction motor of a pure electric vehicle and the DC motor is used to simulate the resistance and inertia , The speed control and the torque control are respectively carried out for the asynchronous motor and the direct current motor.According to the running condition of the electric vehicle and the reference speed, torque and power under the simple cycle condition, the speed controller of the asynchronous motor speed regulation system And current controller, a mathematical model of asynchronous motor speed control system is established, and a speed control system of induction motor based on adaptive fuzzy neural network control is proposed.The simulation and experimental results show that the speed control system based on adaptive fuzzy neural network control is obvious Better than the PID control of AC speed control system, the loop test platform can better track the reference speed and reference torque changes.