Multi-objective optimization of a permanent magnet synchronous motor based on an automated design and analysis procedure
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TECHNICAL PAPER
Multi-objective optimization of a permanent magnet synchronous motor based on an automated design and analysis procedure Yong-Min You1 Received: 15 December 2019 / Accepted: 10 June 2020 Ó Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Since traction motors for electric vehicles require a variety of features to be used simultaneously, research on the design optimization of permanent magnet synchronous motors (PMSMs) has been increasing. To apply design optimization in the industrial field, it must be accurate, simple, and the design time should be minimized. This study proposes an automated design and analysis procedure to optimize the shape of a PMSM. ANSYS Maxwell and PIAnO were combined to implement automation, which are finite element analysis and design optimization software programs, respectively. The average torque and total harmonic distortion of the back electromotive force were set as a multi-objective function. In addition, the efficiency and torque ripple were set as constraints with five design variables to satisfy them. To verify the superiority of the proposed design optimization procedure, three optimization algorithms were reviewed and compared with metamodel-based design optimization. These algorithms include parallel algorithm discovery and orchestration, a progressive quadratic response surface method, and sequential two-point diagonal quadratic approximate optimization Moreover, because it is a design optimization problem with a multi-objective function, the changes in the design optimization results according to the changes in the weighting ratio were examined. Finally, the validity of the design results was verified through experiments. The research results demonstrate that the proposed design optimization procedure is more accurate, faster, and better than the conventional method.
1 Introduction Design optimization is a method of finding the values of design variables to obtain an optimal solution within a range of constraints. Owing to the development of design technology and improvement of computational ability, the design optimization method has been applied to solve complex design problems in various industrial fields. Many studies have been conducted on the design optimization of the permanent magnet synchronous motor (PMSM), the heart of the electric vehicles (EV) which is rapidly spreading in recent years. This is because PMSM for EV must satisfy various goal specifications such as the torque and efficiency simultaneously. Since PMSM for EV requires various characteristics such as torque, efficiency, and total harmonic distortion (THD), many studies have been conducted. Design & Yong-Min You [email protected] 1
Department of Automotive Engineering, Honam University, Gwangju 62399, Korea
optimization is essential to satisfy the various design requirements of the PMSM at once. The design optimization for the PMSM is created by combining design methods such as the analytical model (Guo et al. 2018; Fen
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