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Thermal-Loss Coupled Analysis of an Electrical Machine Using Improved Temperature Dependent Iron Loss Model.

机译:使用改进的温度相关铁损模型的电机热损失耦合分析。

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Iron loss prediction is very important for the evaluation of efficiency, temperature and demagnetization of electrical machines. The models developed in [1]-[4] are most commonly used iron loss models for electrical machine analyses. However, none of these iron loss models considers the influence of temperature, which has been experimentally confirmed in [5]. In [6], an improved iron loss model which can consider temperature dependencies of hysteresis and eddy current losses separately is developed. By applying the improved iron loss model, the temperature influence on the iron loss can be fully considered. It is then possible to couple the thermal and loss analyses with each other by utilizing the improved iron loss model, which will be the subject of this paper. The iron loss model developed in [4] is one of the most accurate iron loss models when the temperature is constant with the help of variable coefficients. The iron loss pFe can be expressed as: Equation (1) where f is the frequency. Bm is the peak value of alternating flux density. kh(f,Bm) and ke(f,Bm) are the hysteresis loss and the eddy current loss coefficients, respectively. It should be noted that the iron loss model (1) cannot consider the influence of temperature on iron loss while the temperature influences iron loss significantly. According to the iron loss model developed in [5], both the hysteresis loss kh(f,Bm) coefficient and the eddy current loss ke(f,Bm) coefficient vary not only with frequency and flux density but also with temperature. Therefore, the improved iron loss model is then developed and can be expressed as: Equation (2) where pFe,T is the iron loss density at the actual temperature T. kh(T,f,Bm) and ke(T,f, Bm) are the hysteresis loss and eddy current loss coefficients, respectively. In order to evaluate the iron loss models in electrical machines, thermal tests and analyses are carried out in a 12-slot/10-pole IPM machine. The schematic diagram of the test system is shown in Fig. 1(a). The 12-slot/10-pole IPM machine is connected a three phase AC power source. The magnets are removed and the rotor is locked in order to eliminate magnet eddy current and mechanical losses. As shown in Fig. 1(b), four thermal couples are equipped in the electrical machine to measure the temperature at different positions, i.e. the stator tooth, the stator yoke, the rotor magnet slot and the rotor yoke. The temperatures are measured when the electrical machine is powered by the AC power source. For the temperature prediction, the iron losses are calculated by the existing model and the improved model, respectively. The thermal model of the IPM machine is also built in Motor-CAD. The thermal model is then analysed with calculated copper loss and iron losses. The predicted temperatures of the electrical machines can be obtained. Fig. 2 compares the measured and predicted results by the existing iron loss model and the improved model. It can be seen that the predicted temperatures by the existing iron loss model become inaccurate when the temperature is high. This is due to the fact that the existing iron loss model cannot consider the temperature dependency of the iron loss. The input iron loss for the thermal analysis keeps constant while the actual iron loss decreases significantly with the temperature rise. On the other hand, the predicted temperatures keep good accuracy when the temperature reaches 100 degrees Celsius or even higher. This is due to the fact that the improved iron loss model considers the temperature dependency of the iron loss. Input iron losses for the thermal analysis vary with the temperature rise. In other words, the thermal and loss analysis can be coupled with each other by utilising the improved iron loss model, which is more close to the actual condition in electrical machines. The details will be investigated and described in the full paper.
机译:铁损预测对于评估电机的效率,温度和退磁非常重要。在[1]-[4]中开发的模型是用于电机分析的最常用的铁损模型。但是,这些铁损模型都没有考虑温度的影响,这已在[5]中通过实验得到了证实。在[6]中,开发了一种改进的铁损模型,该模型可以分别考虑磁滞的温度依赖性和涡流损失。通过应用改进的铁损模型,可以充分考虑温度对铁损的影响。然后可以通过使用改进的铁损模型将热分析和损分析相互耦合,这将是本文的主题。当温度在可变系数的帮助下保持恒定时,在[4]中开发的铁损模型是最准确的铁损模型之一。铁损p Fe 可以表示为:等式(1)其中f是频率。乙 m 是交变磁通密度的峰值。 ķ h (f,B m )和k e (f,B m )分别是磁滞损耗和涡流损耗系数。应该注意的是,铁损模型(1)不能考虑温度对铁损的影响,而温度会显着影响铁损。根据[5]中开发的铁损模型,两个磁滞损耗k h (f,B m )系数和涡流损耗k e (f,B m 系数不仅随频率和磁通密度变化,还随温度变化。因此,改进的铁损模型随后得以开发,并可以表示为:公式(2)其中,p Fe,T 是实际温度T下的铁损密度k h (T,f,B m )和k e (T,f,B m )分别是磁滞损耗和涡流损耗系数。为了评估电机中的铁损模型,在12槽/ 10极IPM电机中进行了热测试和分析。测试系统的示意图如图1(a)所示。 12插槽/ 10极IPM机器连接了三相交流电源。去除磁铁,并锁定转子,以消除磁铁的涡流和机械损耗。如图1(b)所示,在电机中装有四个热电偶以测量不同位置的温度,即定子齿,定子轭,转子磁体槽和转子轭。当电机由交流电源供电时,测量温度。对于温度预测,分别通过现有模型和改进模型计算铁损。 IPM机器的热模型也内置在Motor-CAD中。然后用计算出的铜损和铁损分析热模型。可以获得电机的预测温度。图2比较了现有铁损模型和改进模型的测量结果和预测结果。可以看出,当温度高时,现有铁损模型的预测温度变得不准确。这是由于现有铁损模型无法考虑铁损的温度依赖性这一事实。用于热分析的输入铁损保持恒定,而实际铁损随温度升高而显着降低。另一方面,当温度达到100摄氏度甚至更高时,预测温度将保持良好的精度。这是由于以下事实:改进的铁损模型考虑了铁损的温度依赖性。热分析的输入铁损随温度升高而变化。换句话说,通过利用改进的铁损模型可以使热分析和损失分析相互结合,该模型更接近电机的实际状况。详细内容将在全文中进行调查和描述。

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