Measurement-Based Optimization of Thermal Networks for Temperature Monitoring of Outer Rotor PM Machines
Measurement-Based Optimization of Thermal Networks for Temperature Monitoring of Outer Rotor PM Machines
复制标题
基于测量的热网络优化，用于外转子永磁电机的温度监测
DOI：
10.1109/ecce44975.2020.9236388
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Frank Jeske
中科院分区：
文献类型：
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作者：
Daniel Wöckinger;G. Bramerdorfer;S. Drexler;S. Vaschetto;A. Cavagnino;A. Tenconi;W. Amrhein;Frank Jeske
本文旨在建立适用于模拟电机在变负载条件下的暂态热特性的集总参数热网络。该网络应该能够准确估计关键机器部件的温度。在最好的情况下，模型可以实时运行，以适应基于负载历史和最高允许温度的电机控制。因此，考虑到利用率很高的驱动器，机器的能力最多也就是耗尽。此外，模型应尽可能简单，同时保证预测温度的相当准确。选择了集总参数热网络，并对其特性进行了详细的说明。除了模型的选择和通过进化优化策略对其关键参数进行优化外，还将详细描述实验装置。在负载扭矩和转速要求变化的静态和动态试验循环中，对模型的精度进行了评估。最后，给出了电机温度预测精度的显著提高，并与实测值进行了比较。
This paper is about deriving suitable lumped parameter thermal networks for modeling the transient thermal characteristics of electric machines under variable load conditions. The network should allow for an accurate estimation of the temperatures of critical machines’ components. In best case, the model can be run in real time to adapt the motor control based on the load history and maximum permissible temperatures. Consequently, the machine’s capabilities can be exhausted at best considering a highly-utilized drive. The model further shall be as simple as possible while guaranteeing a decent accuracy of the predicted temperatures. A lumped parameter thermal network is selected and its characteristics are explained in detail. Besides the model selection and the optimization of its critical parameters through an evolutionary optimization strategy, an experimental setup will be described in detail. The model accuracy is evaluated for both static and dynamic test cycles with changing load torque and speed requirements. Finally, the significant improvement of the accuracy of the predicted motor temperatures is presented and the results are compared with measurements.