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Optimal Design of IPM Motors With Different Cooling Systems and Winding Configurations

机译:不同冷却系统和绕组配置的IPM电机的优化设计

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摘要

Performance improvement of permanent magnet (PM) motors through optimization techniques has been widely investigated in the literature. Oftentimes the practice of design optimization leads to derivation/interpretation of optimal scaling rules of PM motors for a particular loading condition. This paper demonstrates how these derivations vary with respect to the machine ampere loading and ferrous core saturation level. A parallel sensitivity analysis using a second-order response surface methodology followed by a large-scale design optimization based on evolutionary algorithms are pursued in order to establish the variation of the relationships between the main design parameters and the performance characteristics with respect to the ampere loading and magnetic core saturation levels prevalent in the naturally cooled, fan-cooled, and liquid-cooled machines. For this purpose, a finite-element-based platform with a full account of complex geometry, magnetic core nonlinearities, and stator and rotor losses is used. Four main performance metrics including active material cost, power losses, torque ripple, and rotor PM demagnetization are investigated for two generic industrial PM motors with distributed and concentrated windings with subsequent conclusions drawn based on the results.
机译:在文献中已经广泛地研究了通过优化技术来改善永磁(PM)电动机的性能。通常,设计优化的实践会导致对特定负载条件下PM电动机的最佳缩放规则的推导/解释。本文演示了这些推导如何随电机安培负载和铁芯饱和度水平而变化。为了确定主要设计参数与性能特性之间相对于安培负载的关系变化,追求了使用二阶响应面方法进行并行灵敏度分析,然后基于进化算法进行大规模设计优化。在自然冷却,风扇冷却和液体冷却的机器中普遍存在磁芯饱和度水平。为此,使用了基于有限元的平台,该平台充分考虑了复杂的几何形状,磁芯非线性以及定子和转子损耗。研究了两种具有分布绕组和集中绕组的通用工业永磁电动机的四个主要性能指标,包括有效材料成本,功率损耗,转矩脉动和转子永磁去磁,并根据结果得出了后续结论。

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