  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.
