October 4, 2021
Designing electric machines for automotive applications requires engineers to achieve two critical goals at the same time: maximizing the torque profile over a wide range of speeds and reducing the torque ripple by making the torque as smooth as possible. Torque ripple during the drive cycle is reflected in acoustic noises, and at higher speeds might become a source of audible noise pollution for passengers. In more industrial applications, where the electrical machine is connected through power electronics components to electric grids, torque ripple might impact the quality of the power generated back to the grid. Thus, it is important to reduce the electromagnetic torque ripple and associated noises, both mechanically and electromagnetically.
Additionally, the simulation speed and level of accuracy are equally important when finite element analysis (FEA) is applied to electrical machine design. In nearly every case, the trade-off between simulation speed and simulation accuracy is not something designers are willing to consider because both are critical.
In many cases, a 2D cross-section of the 3D geometry is chosen for electromagnetic modeling purposes. In some of these cases, the biggest question is if the 2D model will achieve the required accuracy. For example, there are reasons why a 2D cross-section for radial field electrical machines has limitations in accounting for 3D effects – e.g., end-windings, different axial lengths of both the stator and rotor, different types of eccentricity, or skew topologies of various rotor or stator designs as shown in Figures 1 and 2 respectively.
Because motor skew is inherently a 3D phenomenon, let’s consider the latter case where the electrical machine topology includes a skew configuration. In Figure 3, a 3D FEA simulation result shows the difference between torque ripple for a skewed and non-skewed machine. And while this 3D approach achieves the desired accuracy of the solution, it does not address the fast simulation speed required by the design process due to longer 3D simulation times.
To address these challenges, Ansys Maxwell introduces a mathematical algorithm enabling designers to take advantage of 2D FEA speed while preserving the accuracy of 3D FEA simulation. It seems challenging, if not impossible, but with new technology developed to account for skewed rotor and stator electrical machine configurations, this task became achievable and more practical in the Ansys 2021 R2 release. Figure 4 shows torque ripple using a 2D model using this new algorithm for both a skewed and non-skewed machine, achieving very good agreement as compared to the 3D model from Figure 3.
Maxwell provides a customizable skew configuration in its user interface where engineers can define their own rotor/stator skew topology. Maxwell 2D transient solver employs a multi-slice algorithm to compute the dynamic performance of the electrical machine. While the speed of 2D FEA is much faster than 3D, Maxwell additionally delivers a high-performance computing (HPC) solution to distribute finite element computation of each slice to one message passing interface (MPI) task by employing a parallel block matrix solving scheme. This makes the results of any skew-based topology an easy and fast solution to perform.
Because the electric machine skewing scheme has an impact on torque ripple, it is imperative that a fast and accurate workflow exists to evaluate the impact this has on the acoustic noise during the drive cycle. Thus, the electromagnetic forces are computed on each slice of the 2D model and passed to the harmonic mechanical solver to perform noise, vibration & harshness (NVH) analysis (Figure 5).
In addition to the skew enhancements, the Maxwell 2021 R2 update has even more in store.
For example, to enhance thermal management for topologies with permanent magnets, Maxwell now supports multiple temperature-dependent demagnetization characteristics, preserving the shapes of input curves.
Finally, I cannot finish this blog without highlighting specific enhancements to NVH, which covers more practical applications for increasing levels of accuracy:
For more details, watch the Ansys 2021 R2 Maxwell webinar.
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