A Review on Artificial Intelligence Assisted Design and Optimization of Electric Motors

As the demand for motor performance continues to rise, traditional design and optimization methods face bottlenecks such as high computational complexity, low optimization efficiency, and low effectiveness. Artificial intelligence (AI), as a powerful data-driven tool, offers new solutions for motor design and optimization through the integration of intelligent algorithms and simulation technologies. This article reviews the recent developments of design and optimization methods for electric motors, with a particular focus on the application of AI technologies. Firstly, the core challenges in electric motor design and optimization process are analyzed, and a detailed discussion including AI-assisted parametric modeling, performance analysis, multiphysics optimization, and design guidance is comprehensively reviewed. Through in-depth analysis of multiple practical cases, the significant advantages of AI in improving design and optimization efficiency are demonstrated. The development trends, core challenges, and future technological breakthrough directions in the deep integration of AI technologies with electric motor design and optimization problems are also discussed. Overall, this article not only offers a comprehensive summary and technical references for the field of motor design and optimization, but also provides strong support for related engineering practices with AI methods.