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Chapter 49 Study on Coaxial Parallel HEV Automatic Clutch Torque Estimation

机译:第49章同轴平行HEV自动离合器扭矩估计研究

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The HEV power train dynamic model is established based on research subject that is a coaxial parallel hybrid electric vehicle power train with automatic clutch. Based on the discrete state space model deduced from system dynamics and discrete kalman filter algorithm, the clutch torque estimation algorithm is designed. The clutch torque estimation algorithm and HEV powertrain simulation software are developed in Matlab/Simulink environment, Simulation on HEV mode-switch is carried out to examine the clutch torque estimation errors, the effect of different sampling times on clutch torque estimation is studied. The results show that the method based on kalman filter can accurately estimate the clutch torque.
机译:基于研究主题建立了HEV电力列车动态模型,该研究受试者是一种具有自动离合器的同轴并联混合动力电动车动力系。基于从系统动力学和离散卡尔曼滤波算法推导的离散状态空间模型,设计了离合器扭矩估计算法。在MATLAB / SIMULINK环境中开发了离合器扭矩估计算法和HEV动力总成仿真软件,对HEV模式开关进行了仿真,以检查离合器扭矩估计误差,研究了不同采样时间对离合器扭矩估计的影响。结果表明,基于卡尔曼滤波器的方法可以精确地估计离合器扭矩。

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