An Innovative Multi-Objective optimization Approach for the Multiphysics Design of Electrical Machines
Nicolas Riviere, Markus J. Stokmaier, James Goss
Abstract
This paper deals with an innovative optimization procedure for multi-physics 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.
Topics & Concepts
MultiphysicsLeverage (statistics)TorqueWorkflowCADComputer scienceElectric motorSoftwareSensitivity (control systems)Enhanced Data Rates for GSM EvolutionControl engineeringEngineeringMechanical engineeringEngineering drawingFinite element methodElectronic engineeringPhysicsDatabaseMachine learningThermodynamicsProgramming languageTelecommunicationsStructural engineeringElectric Motor Design and AnalysisMechanical Engineering and Vibrations ResearchReal-time simulation and control systems