Accelerating Industrial Finite Element Simulations of Electric Machines based on Runtime Analysis

2026-07-08

AI Summary

This study addresses the high computational cost of finite element simulation in industrial electric motor design, which severely hinders design iteration and product development efficiency. For the first time in industrial-scale motor simulations, this work integrates fine-grained runtime performance profiling with customized acceleration strategies to systematically identify critical computational bottlenecks in both two- and three-dimensional simulations. By applying targeted optimizations to core algorithms, the proposed approach substantially reduces CPU time overhead and achieves end-to-end simulation acceleration. This advancement effectively shortens time-to-market and establishes an efficient computational paradigm for high-fidelity motor design.

Abstract

The simulation of electric machines plays a significant role in the design of efficient and competitive products. Faster simulations reduce computational costs, such as CPU hours, and shorten development cycles, thereby enabling faster design iterations and ultimately accelerating time-to-market. In this work, we analyze the dominant computational bottlenecks and demonstrate how targeted acceleration measures can significantly reduce the overall runtime of 2D and 3D finite element simulations of electric machines in an industrial environment.

Problem

• finite element simulation
• electric machines
• computational bottleneck
• runtime acceleration
• industrial simulation

Innovation

• finite element simulation
• electric machines
• runtime analysis
• computational acceleration
• industrial simulation