Drive cycle based design and optimization of electric machines

On-Demand Webinar | 54 Minuten

Learn how drive cycles impact the design outcome of a modern traction motor.

Drive cycle electric machines design
Drive cycle electric machines design

Developing modern electric machines requires the deployment of a complex process. System and component-level analysis and optimization are carried out iteratively to converge to the best possible design. Pushing innovation to the next level requires better insights on system performance under precise and realistic operating conditions. Taking vehicle drive cycles into account inherently enables superior design outcomes at system and component levels.

In this webinar, our experts will demonstrate the impact of considering a drive cycle-based design approach for traction motors. They will explore how the application cycle extracts the required machine performance characteristics, design initialization and iterations, and validation. Learn about system-level simulations and multi-physics aspects of the design process, including the machine's thermal and acoustic behavior.

Get better insights on how driver behavior impacts machine design

In this webinar you will learn how to:

  • Use drive cycles to derive desired machine characteristics
  • Select the optimum operating points to focus on for machine design
  • Compute the impact of design changes at the subcomponent and at the system level
  • Consider thermal characteristics and the noise and vibrations characteristics of the machine throughout the design process
  • Implement an integrated design process

About the speakers

Tanvir Rahman

Produktmanager für elektrische Maschinen, Siemens Digital Industries Software

Gaëtan Damblanc

Powertrain Electrification Product Manager, Siemens Digital Industries Software

Lionel Broglia

Business Development Manager, Siemens Digital Industries Software

Lionel is Business Development Manager for System simulation activities, focusing on the electrification ground transportation. He has a master's degree in mechanical engineering and is involved in multi-domain system simulation since 1999.