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A Parametric Environment for Weight and Sizing Prediction of Motor/Generator for Hybrid Electric Propulsion

机译：用于混合动力推进的电动机/发电机重量和尺寸预测的参数环境

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In response to the growing aviation fuel demands and environmental concerns, NASA has set aggressive goals for individual aircraft to improve environmental performance for three technology generations (N+1, N+2, and N+3). After setting these goals, numerous advanced concept aircrafts have been proposed in an effort to accomplish these requirements. One of these projects which helps to meet the N+3 is the Subsonic Ultra Green Aircraft Research (SUGAR) project. Through the SUGAR, the team concluded that hybrid electric propulsion concept ("hFan" proposed by General Electric) has a potential to meet the N+3 requirements. One of the key components in the design of this new architecture is an electric motor which is embedded within the engine. At the conceptual design phase, high-fidelity engine weight and size prediction including new architecture is crucial to design aircraft. In this study, a Switched Reluctance Motor (SRM) is selected as a primary application because the SRM has several advantages for aircraft engine component. The goal of this research is to create the SRM weight and sizing prediction models based on a semi-empirical approach within the Numerical Propulsion System Simulation (NPSS) and Weight Analysis for Turbine Engines (WATE++) environment. The primary benefit of utilizing NPSS/WATE++ for the SRM weight and sizing estimation is that the maximum and minimum size of the SRM can be determined by engine operating condition and component dimensions. Modeling approach and features are described and several engine case studies are carried out to validate the motor weight and sizing model for four types of motor configurations. Based on the results of the model, the yielded values such as motor outer diameter, power output, and efficiency are only slightly different than that of the hFan's target.
机译：为了满足不断增长的航空燃料需求和对​​环境的关注，NASA为单个飞机设定了雄心勃勃的目标，以改善三代技术（N + 1，N + 2和N + 3）的环境绩效。在设定了这些目标之后，为了达到这些要求，已经提出了许多先进的概念飞机。亚音速超绿色飞机研究（SUGAR）项目是有助于满足N + 3要求的项目之一。通过SUGAR，研究小组得出结论，混合动力推进概念（通用电气提出的“ hFan”）具有满足N + 3要求的潜力。这种新架构的设计中的关键组件之一是嵌入发动机内的电动机。在概念设计阶段，包括新架构在内的高保真发动机重量和尺寸预测对于飞机的设计至关重要。在这项研究中，选择开关磁阻电机（SRM）作为主要应用，因为SRM对于飞机发动机组件具有多个优势。这项研究的目的是在数值推进系统仿真（NPSS）和涡轮发动机重量分析（WATE ++）环境中基于半经验方法创建SRM重量和尺寸预测模型。利用NPSS / WATE ++进行SRM重量和尺寸估算的主要好处是，SRM的最大和最小尺寸可以通过发动机工况和组件尺寸来确定。描述了建模方法和功能，并进行了一些发动机案例研究，以验证四种类型电动机配置的电动机重量和尺寸模型。根据模型的结果，诸如电动机外径，功率输出和效率之类的屈服值仅与hFan目标的屈服值略有不同。

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