Sequential Optimization of Speed, Thermal Load, and Power Split in Connected HEVs
For developers of connected and automated hybrid electric vehicles, this work demonstrates the potential of coordinating thermal management with powertrain control to enhance fuel economy.
This paper proposes a sequential optimization framework for speed, thermal load, and power split in connected hybrid electric vehicles, achieving up to 18.8% energy savings over a real-world driving cycle compared to a baseline non-CAV.
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.