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Methods for Measuring, Analyzing and Predicting the Dynamic Torque of an Electric Drive Used in an Automotive Drivetrain

机译:测量,分析和预测汽车传动系统中使用的电动驱动动态扭矩的方法

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The driving comfort is an important factor for buying decisions. For the interior noise of battery electric vehicles (BEV) high frequency tonal orders are characteristic. They can for example be caused by the gearbox or the electric drive and strongly influence the perception and rating of the interior noise by the customer. In this contribution methods for measuring, analyzing and predicting the excitation by the dynamic torque of the electric drive are presented. The dynamic torque of the electric drive up to 3.5 kHz is measured on a component test bench with the help of high frequency, high precision torque transducer. The analysis of the results for the order of interest shows a good correlation with the acoustic measurements inside the corresponding vehicle. In addition an experimental and numerical modal analysis of the rotor of the electric drive are performed. The torsional resonance modes are put into context of the elevation of the dynamic torque with regard to the frequency. In a further analysis the phase shifts of the torsional excitation of the different rotor segments, caused by the skewing of the stator, are taken into account. The results show a good correlation with the elevation of the dynamic torque as well as the acoustic measurement for the order of interest. The measurements, as well as the simulation, are integrated in a validation environment in context of the X-in-the-Loop framework. This enables a consistent and thorough validation of BEV interior noise in virtual as well as physical domain.
机译:驾驶舒适是购买决策的重要因素。对于电池电动汽车(BEV)的内部噪声高频音调是特性。它们可以例如由齿轮箱或电动驱动引起,并强烈影响客户的内部噪声的感知和评定。在该贡献中,呈现了通过电动驱动器的动态扭矩测量,分析和预测激发的方法。在高频高精度扭矩传感器的帮助下,在组件测试台上测量电动驱动器的动态扭矩。对兴趣顺序的结果的分析表明,与相应车辆内的声学测量结果良好的相关性。另外,执行电驱动器的转子的实验性和数值模态分析。扭转谐振模式被施加到频率方面的动态扭矩的升高。在进一步的分析中,考虑由定子偏斜引起的不同转子段的扭转激励的相移。结果表明,与动态扭矩的升高以及感兴趣顺序的声测量效果良好。测量和模拟在X-in-in-Loop框架的上下文中集成在验证环境中。这使得可以在虚拟和物理域中对BEV内部噪声的一致和彻底验证。

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