电动汽车可伸缩永磁同步电机的能量宏观表示

W. Lhomme, F. Verbelen, M. Ibrahim, K. Stockman
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引用次数: 4

摘要

本文提出了一种新颖的模型结构来描述规模化永磁同步电机(PMSM)。利用能量宏观表示形式(EMR)对标度律方程进行了重组。重构由一个参考PMSM模型和两个电气和机械功率自适应元件组成。后一种因素考虑了缩放效应,包括功率损耗。将该方法应用于电动汽车的永磁同步电机功率按2倍进行缩放。根据所研究的设计,在一个城市行驶周期内,平均效率为83.7% ~ 87.1%。
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Energetic Macroscopic Representation of Scalable PMSM for Electric Vehicles
In this paper, an innovative model structuration is proposed to describe scaled Permanent Magnet Synchronous Machines (PMSM) at system level. By using the Energetic Macroscopic Representation formalism (EMR), the equations of the scaling laws are reorganized. The restructuration consists of a reference PMSM model complemented with two electrical and mechanical power adaptation elements. These latter elements take care of the scaling effects, including the power losses. The methodology is applied to scale the power of a PMSM for an electric vehicle, by a factor of 2. According to the studied designs, an average efficiency from 83.7% to 87.1% is obtained during an urban driving cycle.
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