Inductance tensor calculation method for characterizing synchronous reluctance machines

Vilmos Paiss, Richard Csaba Kovacs
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Abstract

Synchronous reluctance traction machines are becoming more and more important participants of electromobility due to the increasing demand to reduce the amount of the rare-earth materials in the electric vehicle components. With reducing rare earth material consumption, the economic and ecological risks of the future in e-mobility can partially be prevented. Without permanent magnet the electrical motor design requires a disruptive concept, which can compensate the lack of the most efficient type of motor component with good efficiency performance at the operating points. For instance, even the lower torque density and vehicle acceleration requirements of a city car design can be rationally acceptable if the reduced ecological footprint of the traction motor is more dominated than the driving experience as the cognitive engineering prefers the vehicle test cycle of a green driver instead of a racing driver. More innovative engineering cogitation is expected for designing a motor layout of a synchronous reluctance machines, which possesses more significant non-linear behavior and technical challenges regarding the drive control than the permanent magnet synchronous machines. To describe the non-fundamental motor behavior, the inductance tensor of the motor must be determined in a multi-variable parameter-field over the time domain. Since the inductance tensor maps cannot be directly evaluated from the FEA software, therefore this paper presents a novel inductance tensor map postprocessing method of FE analysis based on the differential inductances. The co-energy-based force method coupled with the number of divisions of rotor displacement, prescribes the resolution of required inductance map. The reduction of the non-linear effects by modifying the current profiles via the motor control can be satisfied only with a well-defined tensor mapping method. A properly determined motor model together with the corresponding control compensation method can further improve the efficiency of synchronous reluctance motors and provide the required performance at low speed and partial load domain, where the real operating points of an ordinary used vehicle can be found.
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同步磁阻电机特性的电感张量计算方法
由于对减少电动汽车零部件中稀土材料用量的需求日益增加,同步磁阻牵引电机成为电动汽车领域越来越重要的参与者。通过减少稀土材料的消耗,可以部分预防未来电动汽车的经济和生态风险。如果没有永磁体,电机设计需要一个颠覆性的概念,这可以弥补在工作点上具有良好效率性能的最有效类型的电机部件的不足。例如,即使是城市汽车设计的低扭矩密度和车辆加速度要求,如果牵引电机的生态足迹减少比驾驶体验更重要,因为认知工程更倾向于绿色驾驶员的车辆测试周期,而不是赛车手的车辆测试周期,则可以合理接受。与永磁同步电机相比,同步磁阻电机具有更显著的非线性行为和驱动控制方面的技术挑战,因此在设计电机布局时需要更多的创新工程思考。为了描述电机的非基频特性,必须在时域的多变量参数场中确定电机的电感张量。由于电感张量图无法直接从有限元软件中求出,本文提出了一种基于差分电感的有限元分析电感张量图后处理方法。基于共能的力法结合转子位移的分区数,规定了所需电感图的分辨率。通过电机控制改变电流分布来减小非线性效应,只有通过定义良好的张量映射方法才能得到满足。确定合适的电机模型,结合相应的控制补偿方法,可以进一步提高同步磁阻电机的效率,并在低速和部分负载域提供所需的性能,在低速和部分负载域可以找到普通二手车的真实工作点。
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