Optimal Vehicle Dynamics and Powertrain Control for Connected and Automated Vehicles

Liuhui Zhao1, A M Ishtiaque Mahbub1, Andreas A. Malikopoulos2

  • 1University of Delaware
  • 2Cornell University

Details

12:10 - 12:30 | Mon 19 Aug | Lau, 5-203 | MoA1.6

Session: Control for Connected and Automated Vehicles

Abstract

The implementation of connected and automated vehicle technologies enables opportunities for a novel computational framework for real-time control actions aimed at optimizing energy consumption and associated benefits. In this paper, we present a two-level control architecture for a connected and automated plug-in hybrid electric vehicle to optimize simultaneously its speed profile and powertrain efficiency. We evaluate the proposed architecture through simulation in a network of vehicles.