  This paper presents the design of an ecological adaptive cruise controller
(ECO-ACC) for a plug-in hybrid vehicle (PHEV) which exploits automated driving
and connectivity. Most existing papers for ECO-ACC focus on a short-sighted
control scheme. A two-level control framework for long-sighted ECO-ACC was only
recently introduced. However, that work is based on a deterministic traffic
signal phase and timing (SPaT) over the entire route. In practice, connectivity
with traffic lights may be limited by communication range, e.g. just one
upcoming traffic light. We propose a two-level receding-horizon control
framework for long-sighted ECO-ACC that exploits deterministic SPaT for the
upcoming traffic light, and utilizes historical SPaT for other traffic lights
within a receding control horizon. We also incorporate a powertrain control
mechanism to enhance PHEV energy prediction accuracy. Hardware-in-the-loop
simulation results validate the energy savings of the receding-horizon control
framework in various traffic scenarios.
