Inverse Model Allocation for Optimized Coordination of a Turbocharged SI Engine with Electric Supercharger

Cristian Rostiti1, Marcello Canova1, Andrea Serrani, Erik Hellström2, Baitao Xiao3

  • 1The Ohio State University
  • 2Ford Research and Advanced Engineering
  • 3Ford Motor Company

Details

10:40 - 11:00 | Wed 10 Jul | Franklin 9 | WeA09.3

Session: Control of Hybrid and Electric Vehicles

Abstract

Electric boosting is a promising solution to improve the dynamic response of the air path system in downsized turbocharged engines. Unfortunately, typical electric supercharge controllers do not take into account the action of the wastegate actuator when generating the references for the e-compressor shaft speed, which can lead to overshoots and poor overall tracking performance. Leveraging on the presence of an existing feedback tracking controller for the wastegate and e-compressor, a plug-in module based on the inverse model allocation framework is design to coordinate the action of the two actuators. The module is tested using a model in the loop platform, based on a high-fidelity engine model in GT-Suite. Significant reduction of power losses are observed for a launch maneuver.