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On-line Identification of a Torque Converter Model

机译:液力变矩器模型的在线识别

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Most passenger cars on the road today employ planetary automatic transmissions, which use torque converters for vibration isolation and torque amplification at vehicle launch. Torque converter models have been used primarily for analysis and design, but have seen some use for on-line estimation and control. Since model parameters vary with operating conditions such as temperature as well as the condition of the transmission fluid, there is a need for on-line identification of these parameters for validity of the model across a wide range of operating conditions. In the current study, a novel method to update torque converter model parameters on-line is presented. Importantly, exponential convergence of the model parameter estimates to their respective true values is demonstrated. The proposed method is numerically validated for a vehicle under realistic driving conditions. The simulation results indicate that the proposed method is capable of on-line torque converter model identification under slowly varying operating conditions.
机译:当今大多数公路上的乘用车都采用行星自动变速器,该变速器使用变矩器在车辆发射时进行隔振和扭矩放大。液力变矩器模型主要用于分析和设计,但已经在在线估算和控制中有所应用。由于模型参数随操作条件(例如温度以及变速箱流体的条件)而变化,因此需要在线识别这些参数,以确保模型在各种操作条件下的有效性。在当前的研究中,提出了一种在线更新变矩器模型参数的新方法。重要的是,展示了模型参数估计值到其各自真实值的指数收敛。所提出的方法在实际驾驶条件下对车辆进行了数值验证。仿真结果表明,该方法能够在缓慢变化的工况下进行在线变矩器模型辨识。

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