考虑负载点相关油分布的汽车变速箱组件热评估方法

Roland Uerlich, Theo Koch, Heiner Theising, Lutz Eckstein
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引用次数: 2

摘要

全电动汽车在道路运输各个部门的普及率正在稳步上升。由于立法和客户对效率和性能的要求不断提高,有必要不断突破动力传动系统的系统极限。本文提出了一种基于第一个齿轮箱配置和效率计算进行初始热系统分析的方法。在这里,组件损耗计算用于识别齿轮箱级内的热热点。这种分析的基础是热网络方法。对于该方法,齿轮箱元件齿轮、轴承、轴、密封件和壳体被分解为标准热元件,以便为任何后续的齿轮箱配置自动创建。这些元素之间的链接也是标准化和自动化的。使用平滑粒子流体动力学方法进行了广泛的模拟研究,以考虑与载荷点相关的油分布,从而能够对油分布进行初步估计。然后在时间步长的基础上求解以这种方式填充的热力网络,允许考虑动态负载情况。本文以VW ID 3变速箱为例验证了该方法的质量。由于使用了一个系列齿轮箱,验证是在可访问的外壳温度的基础上进行的。这些已经表明,与其他现有方法相比,该方法具有良好的收敛性,这加强了进行进一步实验研究的必要性。
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Method for thermal evaluation of automotive gearbox packages taking into account load point-dependent oil distribution

The spread of all-electric drives is steadily increasing in all sectors of road transport. Due to the constantly increasing demands on efficiency and performance by legislation and customers, it is necessary to continuously push the system limits of the powertrains. This paper presents an approach that performs an initial thermal system analysis based on a first gearbox configuration and efficiency calculation. Here, the componentwise loss calculation is used to identify thermal hotspots within the gearbox stage. The basis of this analysis is the thermal network method. For the approach, the gearbox elements gear, bearing, shaft, seal and housing are broken down into standard thermal elements to be created automatically for any subsequent gearbox configuration. The linking of these elements to each other is also standardised and automated comparably. An extensive simulation study is carried out using the smoothed particle hydrodynamics method to consider the load point-dependent oil distribution, which enables an initial estimate of the oil distribution. The thermal network filled in this way is then solved on a time-step basis, allowing dynamic load cases to be considered. The quality of the method is validated within the paper using the VW ID 3 gearbox as an example. Due to the use of a series gearbox, the validation was carried out on the basis of the accessible housing temperatures. These already show good convergence of the method compared to other existing approaches, which reinforces the necessity of conducting further experimental studies.

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