Stage - Developing an AI Model from Finite Element Data for Electric Motor Control f/m - Strategic Student Program
Core
Develop AI models from Finite Element Analysis (FEA) data to create reduced-order models for Permanent Magnet electric motors and integrate them into electric vehicle system simulations.
Role type
Student intern, machine learning engineer (electromagnetic simulation)
Builds
Reduced-order motor models for Simcenter Amesim and electric vehicle system simulations
Domain
Automotive / Electric Motors / Electromagnetic Simulation
Deliverable
production ML models
Required skills
Electromagnetic simulation, Permanent magnet electric motors, Finite elements analysis, Machine learning, Optimization algorithms
Preferred skills
Park transformations, Simcenter HEEDS
Technologies
Simcenter Flux, Simcenter Amesim, Simcenter HEEDS
Responsibilities
Create Design of Experiments (DOEs) from PM motor models to generate reduced motor models; Train AI models to generate valid models for Simcenter Amesim; Create Simcenter Amesim models of electric cars including battery and inverter; Perform optimization to find optimal geometric parameters for rotor efficiency; Compare AI-based methods with traditional optimization loops.