Optimization (multi-objective, multi-physical) and Verification of E-Motor Design Using Real Test Bench Data

Tim Schwartz, Sebastian Igel
E-Motor and Transmission Development,
Great Wall Motor Austria Research & Development GmbH


With rising speed demands in e-motor development, optimization is a fundamental part of the state-of-the-art development process. This trend leads to shorter design sample phases in which the first prototype must fit the customer requirements.
In this presentation a proven development approach based on multi objective, multi physical optimization is explained. Starting from a suitable motor concept the iterative engineering process displays the evolution to the final design. In addition to the simulation data, the results are verified by inhouse test bench data.
With the displayed verified approach, it is possible to meet future e-motor development demands today.

To read Proceedings, please sign-in.

Protected content here, for members only.
You need to sign in as a JMAG software regular user (paid membership) or JMAG WEB MEMBER (free membership).

By registering as a JMAG WEB MEMBER, you can browse technical materials and other member-only contents for free.
If you are not registered, click the “Create an Account” button.

Create an Account Sign in 

Remember me
Sign In
Create an account (Free) About authentication ID for JMAG website

Search Filter

  • All Categories

Proceedings Archives