About This Webinar
Electric motors are the best energy converters used in industry. The design process requires a complex approach that starts from specifications: electromechanical, thermal, and NVH. Considering all the multi-physics requirements of the electrical motor, it is paramount to make the right choices and reduce the cost of change throughout the development process.
Leveraging the performance trade-offs between multiple physics disciplines, including electromagnetics, thermal, structural, and the NVH, in a traction machine design is always challenging but critical. In this webinar session, we'll discuss how to govern the multi-physics design aspects of a realistic IPM traction motor during machine design optimization. This traction motor is designed for a modern, high-performance, battery-electric vehicle platform.
Ansys Motor-CAD and Ansys OptiSLang will be used to build an efficient design optimization workflow. The optimization approach will combine Motor-CAD multi-physics calculations with OptiSLang sensitivity analysis, meta-modeling, and optimization techniques to enable rapid trade-offs between competitive designs and find an optimum solution for a given specification in a computationally efficient way.
What Attendees Will Learn
- Seamlessly set up a customized optimization problem in OptiSLang using the automated Motor-CAD integrated export tool
- Quickly perform a multi-objective, multi-constraints electric motor design optimization using leading-edge multi-physics and sensitivity analyses
- Trade-off multi-physics performance targets across an ample design space to comply with complete motor and system specification requirements
Jon Godbehere, Nicolas Rivière