May 24, 2022
In the complex world of powertrain development, and sometimes contradictory performance objectives, Model Predictive Control offers a pathway to system optimization, enabling auto manufacturers to manage the demands of sensors, actuators and constraints in an automated, multivariable approach.
In this free 60-minute webinar, Garrett will introduce Non-Linear Model Predictive Control (NMPC) Framework and how OEMs can benefit from it for their fuel-to-electrification journey: whether that’s in internal combustion engines (ICE) for CO2 and emissions compliance, plug-in hybrid electric vehicles (PHEV) for enhanced power management, battery electric vehicles (BEV) for range extension, or fuel cell electric vehicles (FCEVs) for mass production.
Join and discover the key benefits of the solution
- Enabler for reaching the full potential of the system optimization
- Toolset and Methodology applicable to multiple domains (ICE, PHEV, BEV, FCEV)
- 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
Discover More of Our Advanced Control Solutions
Sustainability is today’s reality for the Automotive Industry. Regulations that govern emissions and pollution standards are ever-tightening, increasing the demand for rapid technological innovation to enable a fuel-to-electric transition. Electrification is key but comes with its own challenges around energy management and homologation, whether that’s in internal combustion engines (ICE) for CO2 and emissions compliance, plug-in hybrid electric vehicles (PHEV) for enhanced power management, battery electric vehicles (BEV) for range extension, or fuel cell electric vehicles (FCEVs) for mass production. To address these challenges, Garrett Motion has developed a software platform.
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