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Modeling and Design of Cooperative Braking in Electric and Hybrid Vehicles Using Induction Machine and Hydraulic Brake

机译:电动汽车与混合动力汽车感应电机与液压制动的协同制动建模与设计

摘要

In mixed-mode braking applications, the electric motor / generator (M/G) and hydraulic pressure valve are controlled to meet the driver\u27s braking demand. Controlling these braking elements is achieved by modulating the current generated by the M/G and adjusting the fluid pressure to the wheel brake cylinders. This paper aims to model and design combined regenerative and hydraulic braking systems which, comprise an induction electric machine, inverter, NiMH battery, controller, a pressure source, pressure control unit, and brake calipers. A 15 kW 1500 rpm induction machine equipped with a reduction gear having a gear ratio of 4 is used. A hydraulic brake capable to produce fluid pressure up to 40 bar is used. Direct torque control and pressure control are chosen as the control criteria in the M/G and the hydraulic solenoid valve. The braking demands for the system are derived from the Federal Testing Procedure (FTP) drive cycle. Two simulation models have been developed in Matlab®/Simulink® to analyze the performance of the control strategy in each braking system. The developed model is validated through experiment. It is concluded that the control system does introduce torque ripple and pressure oscillation in the braking system, but these effects do not affect vehicle braking performance due to the high frequency nature of pressure fluctuation and the damping effect of the vehicle inertia. Moreover, experiment results prove the effectiveness of the developed model.
机译:在混合模式制动应用中,对电动机/发电机(M / G)和液压阀进行控制,以满足驾驶员的制动需求。通过调制M / G产生的电流并调节到车轮制动缸的液压,可以控制这些制动元件。本文旨在对组合式再生制动和液压制动系统进行建模和设计,该系统包括感应电机,逆变器,镍氢电池,控制器,压力源,压力控制单元和制动钳。使用装备有齿轮比为4的减速齿轮的15kW 1500rpm感应电机。使用能够产生高达40 bar液压的液压制动器。在M / G和液压电磁阀中,选择直接转矩控制和压力控制作为控制标准。系统的制动要求来自联邦测试程序(FTP)行驶周期。在Matlab®/Simulink®中开发了两个仿真模型,以分析每个制动系统中控制策略的性能。通过实验验证了所开发的模型。结论是控制系统确实在制动系统中引入了转矩脉动和压力振荡,但是由于压力波动的高频特性和车辆惯性的阻尼作用,这些影响不会影响车辆的制动性能。此外,实验结果证明了该模型的有效性。

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