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Chapter 49 Study on Coaxial Parallel HEV Automatic Clutch Torque Estimation

机译:第49章同轴并联混合动力汽车自动离合器扭矩估计的研究

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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动力传动系动态模型,该模型是带有自动离合器的同轴并联混合动力电动汽车动力传动系。基于系统动力学导出的离散状态空间模型和离散卡尔曼滤波算法,设计了离合器转矩估计算法。在Matlab / Simulink环境下开发了离合器扭矩估算算法和HEV动力总成仿真软件,对HEV模式切换进行了仿真,以检验离合器扭矩估算误差,研究了不同采样时间对离合器扭矩估算的影响。结果表明,基于卡尔曼滤波的方法可以准确估计离合器扭矩。

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