Geometric design of electric motors using adjoint-based shape optimizationGeometric design of electric motors using adjoint-based...L. Scotzniovsky et al.

被引:0
作者
Luca Scotzniovsky [1 ]
Ru Xiang [1 ]
Zeyu Cheng [2 ]
Gabriel Rodriguez [2 ]
David Kamensky [3 ]
Chris Mi [2 ]
John T. Hwang [1 ]
机构
[1] University of California San Diego,Department of Mechanical and Aerospace Engineering
[2] San Diego State University,Department of Electrical and Computer Engineering
[3] Coreform LLC,undefined
关键词
Electric motor design; Adjoint-based optimization; Shape optimization; Finite element analysis;
D O I
10.1007/s11081-024-09892-6
中图分类号
学科分类号
摘要
Interest in electric aircraft has increased due to developments in electric propulsion technology and concerns regarding aircraft carbon emissions. The emerging urban air mobility industry aims to provide convenient short-range air travel using electric aircraft. An important factor in the design of electric aircraft is the modeling and design of electric motors. The many degrees of freedom in electric motor design make it a complex design problem. To mitigate this complexity, we have developed an adjoint-based electric motor design methodology using free-form deformation for geometry parameterization, PDE-based mesh warping with exact derivatives for mesh manipulation, and finite element analysis for electromagnetic modeling. This paper highlights the approach and details of the proposed method and presents results from its application to a representative motor design problem. The optimization results in a 35% decrease in motor mass and a 3% increase in efficiency compared to the baseline design. These results demonstrate the efficacy of an adjoint-based optimization approach with exact analytical derivatives for electric motor design.
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页码:121 / 158
页数:37
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