  The emergence of connected and automated vehicles (CAVs) provides an
unprecedented opportunity to capitalize on these technologies well beyond their
original designed intents. While abundant evidence has been accumulated showing
substantial fuel economy improvement benefits achieved through advanced
powertrain control, the implications of the CAV operation on power and thermal
management have not been fully investigated. In this paper, in order to explore
the opportunities for the coordination between the onboard thermal management
and the power split control, we present a sequential optimization solution for
eco-driving speed trajectory planning, air conditioning (A/C) thermal load
planning (eco-cooling), and powertrain control in hybrid electric CAVs to
evaluate the individual as well as the collective energy savings through
proactive usage of traffic data for vehicle speed prediction. Simulation
results over a real-world driving cycle show that compared to a baseline
non-CAV, 11.9%, 14.2%, and 18.8% energy savings can be accumulated sequentially
through speed, thermal load, and power split optimizations, respectively.
