Since version 2026, Flux 3D and Flux PEEC are no longer available.

Please use SimLab to create a new 3D project or to import an existing Flux 3D project.

Please use SimLab to create a new PEEC project (not possible to import an existing Flux PEEC project).

/!\ Documentation updates are in progress – some mentions of 3D may still appear.

SimLab Tutorial: 2D_MT_eMotorOptimizingPhysicsAI

Description

This study will show how to optimize base point with physicsAI on SMPM motors. The workflow is:

  • Run DOE to check torque and voltage for different values of geometric parameters, voltage and control angle
  • Train a physics AI model
  • Optimize using the AI model
  • Check the results

Analysis

The Design Of Experiments (DOE) is run versus geometric parameters, speed and control angle.

Torque and voltage are targeted for this analysis.

Then physicsAI model will be trained for these quantities.

PhysicsAI is used to train a model for each quantity. Then an optimization is run to maximize power and minimize magnet size with a voltage constraint due to battery limitations.

Example access

All files corresponding to this example are accessible in the following link: Tutorial package.

Note: The tutorial packaging may evolve with each new version, but not mandatory. The latest version of the tutorial package will automatically work with the most recent release of SimLab.

Example: After installing the SimLab 2025 release, you can find the latest Tuto_2024.zip package. This means that the tutorial has not been updated since 2024 release, that the tutorial does not need to be updated, and that the tutorial still works in 2024.1 release and 2025 release.

Step to follow:

  • to follow the example step by step, the corresponding files are in "Example_name_StepByStep" folder containing:
    • Input folder: contains initial *.slb databases an other files needed to be able to play manually the tutorial by following the step by step document
    • Output folder: empty (contains the obtained results after to play the tutorial)
    • Tutorial folder: contains the document describing the example step by step
  • to play the tutorial by scripts, the corresponding files are in "Example_name_PlayScripts" folder containing:
    • Input folder: contains initial *.slb databases an other files needed to be able to run scripts of the tutorial
    • Output folder: empty (contains the obtained results after to play scripts of the tutorial)
    • ScriptsTutorial folder: contains script files to be able to play each analysis