Optimal Vehicle Dynamics and Powertrain Control for Connected and Automated Vehicles
For developers of connected and automated vehicle control systems, this work offers a method to jointly optimize vehicle dynamics and powertrain, but the results are simulation-based and incremental.
This paper presents a two-level control architecture for connected and automated plug-in hybrid electric vehicles that optimizes both speed profile and powertrain efficiency, achieving improved energy consumption in simulated vehicle networks.
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.