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Sensitivity Analysis and Optimal Design of a Dual Mechanical Port Bidirectional Flux-Modulated Machine

机译:双机械端口双向磁通调制机的灵敏度分析与优化设计

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This paper presents an optimal design methodology of a dual-mechanical-port bidirectional flux-modulated machine for electric continuously variable transmission in hybrid electrical vehicles. The machine utilizes bidirectional flux modulation effect to combine two rotors and one stator together, aiming to realize electrical and mechanical power flexible split and combination. Due to the complexity of the machine structure, conventional optimization methods using analytical model are inapplicable. Therefore, an effective and practical method that combines the genetic algorithm and finite-element method (GA-FEM) is proposed to optimize the design of the machine in this paper. Since the computational cost increases exponentially with the increasing of number of design parameters, to reduce the computational cost in the optimization process, the design parameters are divided into two levels basing on a sensitivity analysis. And, then, the sensitive parameters are optimized using the GA-FEM coupled method. Finally, a prototype is fabricated to verify the effectiveness of the optimal design.
机译:本文提出了一种用于混合动力汽车电动无级变速器的双机械端口双向磁通调制机的优化设计方法。该机器利用双向磁通调制效应将两个转子和一个定子组合在一起,旨在实现电气和机械动力的灵活拆分和组合。由于机器结构的复杂性,使用分析模型的常规优化方法不适用。因此,本文提出了一种结合遗传算法和有限元方法(GA-FEM)的有效实用的方法来优化机器的设计。由于计算成本随着设计参数数量的增加而呈指数增长,为了减少优化过程中的计算成本,基于灵敏度分析将设计参数分为两个层次。然后,使用GA-FEM耦合方法优化敏感参数。最后,制造了一个原型以验证最佳设计的有效性。

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