A Comprehensive Thermal Model For System-Level Electric Drivetrain Simulation With Respect To Heat Exchange Between Components

Bicheng Chen, Carsten Wulff, Konstantin Etzold, Patrick Manns, Georg Birmes, J. Andert, S. Pischinger
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引用次数: 4

Abstract

Monitoring critical temperatures in the electric drivetrain components is becoming more and more crucial for operational safety and achieving better efficiency. Instead of a distributed thermal model for each component, in this contribution a centralized compact lumped-parameter thermal network model for the electric drivetrain is set up, so that the thermal coupling between inverter, electric motor and gearbox can be considered. The measured and calibrated loss maps as well as empirical functions for losses distribution in the permanent magnet synchronous machine are used to calculate the losses of components. In the thermal modeling, a-priori system knowledge is taken into account in order to reduce parameter identification effort. A global linear parameter-varying identification approach is applied to find the parameters of the lumped-parameter thermal network model. The parametrized thermal model is cross-validated by independent experimental data on the chassis dynamometer. The maximum estimation error of circa 7 °C is achieved at the ambient temperature around 20 °C with the realistic coolant profiles for automotive scenario. The simulation results demonstrate how good the temperatures can be estimated by a centralized lumped-parameter thermal network regarding the thermal coupling between the components.
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考虑部件间热交换的系统级电动传动系统仿真综合热模型
监测电动传动系统部件的临界温度对于运行安全和提高效率变得越来越重要。本文建立了一个集中紧凑的集总参数电传动系统热网络模型,从而可以考虑逆变器、电动机和齿轮箱之间的热耦合,而不是每个部件的分布式热模型。利用测量和校准的损耗图以及永磁同步电机中损耗分布的经验函数来计算元件的损耗。在热建模中,为了减少参数辨识的工作量,考虑了先验系统知识。采用全局线性变参数辨识方法求解集总参数热网络模型的参数。通过底盘测功机上的独立实验数据对参数化热模型进行了交叉验证。最大估计误差约为7°C,在环境温度约为20°C的情况下,采用汽车场景的实际冷却剂配置。仿真结果表明,集中式集总参数热网络可以很好地估计各部件之间的热耦合。
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