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Load Data Calculation in Electric Axle Drives and Fatigue Assessment for the Electric Motor Subsystem

机译:电动轴驱动器中的载荷数据计算和电动机子系统的疲劳评估

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In the present work, a fatigue assessment of the electric motor within the electric axle drive (electric axle) was developed using virtual load data. Now that the electric axle with torque vectoring function has been integrated into multiple vehicle classes, it is possible to create simulation models which allow the drive train to be mapped in various driving scenarios. Validation is performed by means of optical measurement methods (object tracking) which allow to determine load data for subsystems and components under variable torque and speed scenarios (e. g., handling course). In this paper, a load spectrum was created and used for fatigue analysis of the subsystem, namely the traction motor (EM) and torque vectoring motor. Based on the local stress, a finite element analysis (FEA) was carried out on the rotor, and investigations of strength and fatigue were performed on thin sheets of electrical steel. These S-N diagrams consider various factors such as material, temperature, and influence of specimen dimensions and are the basis for fatigue assessment based on the load spectrum from simulation.
机译:在当前工作中,使用虚拟负载数据开发了电动桥驱动器(电动桥)内的电动机的疲劳评估。现在,具有扭矩矢量功能的电动轴已集成到多种车辆类别中,可以创建仿真模型,以允许将传动系映射到各种驾驶场景中。验证是通过光学测量方法(对象跟踪)来执行的,该方法允许确定在可变转矩和速度情况下(例如,处理过程)的子系统和组件的负载数据。在本文中,创建了一个载荷谱并将其用于子系统(即牵引电动机(EM)和转矩矢量电动机)的疲劳分析。基于局部应力,对转子进行了有限元分析(FEA),并对电工钢薄板进行了强度和疲劳研究。这些S-N图考虑了各种因素,例如材料,温度和试样尺寸的影响,并且是基于模拟载荷谱进行疲劳评估的基础。

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