Characterization of Permanent Magnet Synchronous Machines based on semi-analytic model reduction for drive cycle analysis

TL;DR

This paper presents a semi-analytic model reduction method for characterizing interior permanent magnet synchronous machines, enabling efficient drive cycle analysis and design optimization through lookup tables and CAD-based mesh generation.

Contribution

It introduces a semi-analytic model reduction approach combined with CAD-based volumetric spline models for efficient machine characterization and drive cycle analysis.

Findings

Efficient machine performance lookup tables for various load conditions.

Improved convergence in optimization due to mesh adaptability.

Integration of loss models for comprehensive performance assessment.

Abstract

The characterization of an interior permanent magnet synchronous machine (IPMSM) requires numerical analysis of the nonlinear magnetic motor model in different load conditions. To obtain the case-specific best machine behavior, a strategy for the determination of stator input current amplitude and angle is employed for all possible load torques given a limited terminal current amplitude and DC bus voltage. Various losses are calculated using state of the art loss models. The electromagnetic performance of the electric machine is stored in lookup tables. These can then be used for the drive cycle analysis of the electric drive train in the design and optimization stages. To avoid the use of a dedicated mesh generator in the numerical analysis, volumetric spline-based models are suggested.With this approach, the mesh can be generated directly from the Computer Aided Design (CAD) geometry. This enables an automatic adaption of the grid following a geometry perturbation. With this the approximated solution is kept consistent over the different iterations of an overlying optimization, improving its convergence behavior.