An Innovative Multi-Objective Optimization Approach For The Multiphysics Design Of Electrical Machines

Nicolas Riviere, Markus Stokmaier,James Goss

2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC)(2020)

引用 11|浏览3
暂无评分
摘要
This paper deals with an innovative optimization procedure for multiphysics analysis of electrical machines using Motor-CAD and optiSLang software. The approach is based on cutting edge sensitivity analysis, meta-modeling and optimization techniques that enable motor designers to leverage the design space and to find an optimum solution with respect to a given specification. A detailed optimization workflow is developed and applied to the design of an interior PM motor for a PHEV application. In particular, the electric motor is optimized to give maximum efficiency, minimum size and minimum cost, while achieving specific peak and continuous torque-speed characteristics.
更多
查看译文
关键词
multiphysics design,optimization,multi-objective
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要