Experimental Statistical Method Predicting AC Losses on Random Windings and PWM Effect Evaluation
Experimental Statistical Method Predicting AC Losses on Random Windings and PWM Effect Evaluation
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DOI：
10.1109/tec.2020.3040265
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发表时间：
2021-09
影响因子：
4.9
通讯作者：
Eraldo Preci;G. Valente;A. Galassini;Xin Yuan;M. Degano;D. Gerada;G. Buticchi;C. Gerada
中科院分区：
文献类型：
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作者：
Eraldo Preci;G. Valente;A. Galassini;Xin Yuan;M. Degano;D. Gerada;G. Buticchi;C. Gerada
目前，运输电气化面临的挑战之一是减小部件的尺寸和重量，以提高功率密度。这通常通过设计具有更高转速和激励频率的电机来实现。此外，转换器需要控制机器在一个宽的速度范围内给定的任务轮廓。因此，由于高频励磁和变流器引入的谐波的共同作用，铜的损耗会显著增加。绕组排列设计在最大限度地减少铜损耗方面起着关键作用，从而实现更高的效率和/或改进的功率密度。高速电机可以采用不同的绕组拓扑结构，其中随机绕组仍然是最广泛的类型之一。本文对高频电机用随机绕组的交流损耗进行了深入的研究。将解析方法与二维有限元仿真结果进行了比较。然后将这些数据与在定制摩托车上进行的实验测量进行比较。重要的是，为了考虑每条线在机器槽内的随机位置，提出了一种实验统计方法（ESM）。ESM允许定义概率分布，这对在设计阶段评估绕组铜损耗很有用。本文还考虑了脉宽调制（PWM）效应的影响，并进行了实验评估。
Nowadays, one of the challenges in transport electrification is the reduction of the components’ size and weight in order to improve the power density. This is often achieved by designing electrical machines with higher rotational speeds and excitation frequencies. In addition, the converter needs to control the machine over a wide speed range given by the mission profile. Therefore, copper losses can significantly increase due to the combination of high frequency excitation and the harmonics introduced by the converter. The winding arrangement design plays a key role in the minimization of the copper losses, thus towards a higher efficiency and/or an improved power density. Different winding topologies can be adopted for high speed electrical machines and amongst them random windings are still one of the most widespread types. This paper presents an in depth study on AC losses in random windings for high frequency motor applications. An analytical method is compared against 2-D Finite Element (FE) simulation results. These are then compared to experimental measurements taken on a custom motorette. Importantly, in order to take into account the random positions of each strand within the machine slots, an Experimental Statistic Method (ESM) is proposed. The ESM allows to define the probability distribution which is useful to evaluate the winding copper losses at the design stage. The contribution of the Pulse Width Modulation (PWM) effect is also considered and experimentally evaluated.