LEARN / Presentation slides
5
(1)

High fidelity 3D optimization of small-scale electrical claw pole drives using design of experiments and machine learning

PRESENTER:
Dr. Mathias Lindner

EXPERTISE:
Electromagnetics

Software:
JMAG

IAV is engaged in electro-magnetical design from high-performance powertrain drives all-embracingly down to small-scale actuators. One key topology for these auxiliary applications is the claw pole motor, which is based on radial, tangential and axial flux paths. Compared to the more familiar radial flux AC machines, the design optimization and FEA simulation of such a system implies some noteworthy differences, which are especially the three-dimensional geometry, the voltage control method as well as the high influence of power loss on performance. All these challenges demand a clear focus on the optimization strategy and require an FEA tool being capable of fast, accurate and robust simulations. The presentation will demonstrate IAV’s approach for high fidelity and yet low effort optimization runs based on design of experiments and machine learning on the example of the rarely examined small-scale claw pole motor.

Other Resources

How useful was this post?

Click on a star to rate it!

Average rating 5 / 5. Vote count: 1

No votes so far! Be the first to rate this post.

How can we help you ?

Contact us

Subscribe to the

newsletter

Revolutionize e-design – Accelerate electrification