Multi-physics optimization for high-frequency air-core permanent-magnet motor of aircraft application
Multi-physics optimization for high-frequency air-core permanent-magnet motor of aircraft application
复制标题
航空高频空芯永磁电机多物理场优化
DOI：
10.1109/iemdc.2017.8002293
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
K. Haran
中科院分区：
文献类型：
--
作者：
X. Yi;Andy Yoon;K. Haran
高比功率电机是飞机电力推进的关键使能技术。机器的比功率（功率重量比）通常受到材料的热性能和机械性能的限制。为了最大限度地提高机器的特定功率，必须同时考虑电气、热力和机械能力。在本文中，一个高效的多物理模型的高频空心Halbach阵列永磁电机，已开发的使用大规模的遗传算法为基础的优化。详细的电磁（EM）和热模型，和有限元分析（FEA）验证，提出和讨论。关键的机器尺寸参数，如速度，转子体积，磁负载，和电负载，在多学科和目标优化的影响，将提出和讨论。
High-specific-power electrical machines are a key enabling technology of electric aircraft propulsion. The machine specific power (power-to-weight ratio) is usually constrained by the thermal and mechanical properties of material. To maximize machine specific power, electrical, thermal and mechanical capabilities have to be considered together. In this paper, an efficient multi-physics model of a high-frequency air-core Halbach-array PM motor, has been developed for the use of a large-scale genetic-algorithm-based optimization. The detailed electromagnetic (EM) and thermal models, and finite-element-analysis (FEA) validation, are presented and discussed. Effects of key machine sizing parameters, such as speed, rotor volume, magnetic loading, and electric loading, in the multi-disciplines and objectives optimization, will be presented and discussed.