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ROM for Traction Inverter Thermal Management 

This webinar will discuss the creation of LTI and LPV ROMs using Ansys Icepak & Twin Builder for inverters and help engineers analyze many drive cycles efficiently, perform what-if analysis, and lead to reliable and efficient inverter designs.

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About this Webinar

The Traction Inverter is one of the most critical components of an electric and hybrid vehicle as it directly influences the driving experience, battery range, and overall safety of the vehicle. It provides power for the drive train and other high-power components.

Industry trends use high-power density power devices in traction applications and generate a considerable amount of heat within the IGBT/Diodes. The traction inverter is subjected to time-varying thermal stress based on the vehicle dynamics, traction motor, and the vehicle's drive cycle. Due to the possibility of significant temperature increases during high-power extraction and the risk of thermal runaway, a properly designed thermal management system is crucial.

A detailed CFD simulation to estimate IGBT/Diodes temperature can successfully carry this out. However, running a detailed transient CFD simulation for each drive cycle is time-consuming. Ansys tools AEDT Icepak and Twin-builder can help to overcome this issue by creating a Reduced order model. The reduced order model provides similar results to those of a detailed CFD under arbitrary transient power dissipation without affecting accuracy but many orders of magnitude faster than the original CFD Model. This webinar will discuss the creation of LTI and LPV ROMs using Ansys Icepak & Twin Builder for inverters. This will help engineers to analyze many drive cycles efficiently, perform what-if analysis, and thereby lead to reliable & efficient inverter designs.

What You Will Learn

  • What are Reduced Order Models (ROMs)?
  • ROM applied for traction inverter thermal management.
  • Benefits and value proposition of using ROM

Speakers

  • Akashdeep Gangrade, Application Engineer II, Ansys