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Efficient Estimator of Rotor Temperature Designing for Electric and Hybrid Powertrain Platform
Electronics ( IF 2.9 ) Pub Date : 2020-07-04 , DOI: 10.3390/electronics9071096
Tuan-Vu Tran , Edouard Nègre

This paper presents an efficient method of estimation of rotor cage temperature for induction machine design, applied for electric and hybrid vehicles. This factor influences the torque produced by the induction machine with a field-oriented control algorithm. Equipping sensors to measure the temperature of a rotation component is expensive and is not representative of mass production. The approach of estimation of rotor cage temperature is based on the good knowledge of motor parameters and the estimation of the flux of the machine. For an accuracy inductance taking account of the saturation, the no-load test can be performed. The machine flux will be estimated taking account of the voltage drop of the system on the test-bench. The rapid prototyping in a real-time motor control platform will be presented that integrates this estimator of rotor temperature. We finally show the experimental testing results compared to the measurement of the rotor cage on a prototype asynchronous low-cost motor designing for battery electric city cars.

中文翻译:

电动和混合动力总成平台转子温度设计的高效估计器

本文提出了一种用于感应电机设计的估算转子笼温度的有效方法,适用于电动和混合动力车辆。该因素会影响磁场感应的电机的磁场定向控制算法。装备传感器以测量旋转部件的温度是昂贵的,并且不能代表批量生产。估算转子笼温度的方法是基于对电机参数的充分了解以及对电机磁通的估算。对于考虑了饱和的精确电感,可以执行空载测试。机器通量将根据测试台上系统的电压降来估算。将提出一个实时电机控制平台中的快速原型,该平台集成了该转子温度估算器。最后,我们展示了与用于电池电动城市车的原型异步低成本电机设计中的转子笼测量结果相比的实验测试结果。
更新日期:2020-07-05
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