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Optimizing System-level Motor Performance for Electric Vehicles

With immense pressure to meet the increasing specifications of electrified propulsion systems for vehicles, engineers must rethink how to predict system performance. Learn how to generate different motor models and evaluate the entire system's behavior throughout development. 


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About this Webinar

As the electrification of vehicles has grown significantly over the last decade, so has the development of different propulsion systems.

The demand for designing more efficient and powerful electrified powertrains at a lower cost has incrementally increased. The designer must consider system performance instead of a single component and the interactions between the different units to meet these challenges. As we look to predict system performance, these system-level simulations are performed. The Electric Drive United (EDU) includes the electric machine model, the control unit, and the gearbox and can be coupled with a cooling system block.

During this webinar, we will show how to generate different electric motor models from Ansys Motor-CAD, and Ansys Maxwell integrated into system simulation environments in Ansys Twin Builder. We will propose several approaches regarding model fidelity and output requirements and prove the system simulation's benefits.

What You Will Learn

  • Benefits of analyzing and optimizing an electric drive unit (EDU) performance on a system level
  • Reduced order modelling techniques to extract of system-level models of electric motors in different physical domains (electro-magnetic, thermal, drive cycle performance)
  • Using system level simulation of EDU for control system validation and accurate loss and temperature prediction in EDU components over a drive cycle


Olga Ilina, Giada Venturini