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On-line Identification of a Torque Converter Model

机译: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:今天道路上的大多数乘用车采用行星自动变速箱,使用扭矩转换器进行振动隔离和车辆发射的扭矩放大。转矩转换器模型主要用于分析和设计,但已看到用于在线估计和控制的一些用途。由于模型参数随温度和传输流体的条件而变化,因此需要在线识别这些参数,用于跨各种操作条件的模型的有效性。在本前研究中,提出了一种更新转矩转换器模型参数的新方法。重要的是,演示了模型参数估计对它们各自的真​​实值的指数趋同。该方法在现实驾驶条件下对车辆进行了数量验证的。模拟结果表明,该方法能够在缓慢变化的操作条件下在线转矩转换器模型识别。

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