Discover how non-linear model predictive control (NMPC) software can accelerate automotive fuel-to-electrification transition

Stephane Strahm, Marketing and Product Management Leader - Connected Software, Garrett Motion | LinkedIn

Ondrej Santin, Production and Tools Team Leader - Connected Software, Garrett Motion | LinkedIn

In this free 60-minute webinar, Garrett’s Stephane Strahm and Ondrej Santin introduce a non-linear model predictive control (NMPC) framework and explain how it can help OEMs expedite their fuel-to-electrification journey.

The experts will also discuss how to utilize NMPC software across numerous applications, including ICE vehicles for CO2 and emissions compliance, PHEVs for enhanced power management, BEVs for range extension, or FCEVs for mass production.

Key topics and takeaways:

  • Enabler for reaching the full potential of the system optimization
  • Unified multi-domain approach
  • Highly efficient real-time optimizer with low CPU and memory footprint suited for ECU applications
  • Enabler for utilization of time-varying preview of references, limits, disturbances, and many other variables
  • Reduction of calibration time and code complexity

Meet the experts

Stephane Strahm

Marketing and Product Management Leader - Connected Software, Garrett Motion

Ondrej Santin

Production and Tools Team Leader - Connected Software, Garrett Motion