2 papers
eess.SY2024
A Traffic Adapative Physics-informed Learning Control for Energy Savings of Connected and Automated Vehicles
Yunli Shao
Model predictive control has emerged as an effective approach for real-time optimal control of connected and automated vehicles. However, nonlinear dynamics of vehicle and traffic…
eess.SY2024
Co-optimization of Vehicle Dynamics and Powertrain Management for Connected and Automated Electric Vehicles
Zongtan Li, Yunli Shao
Connected and automated vehicles (CAVs) represent the future of transportation, utilizing detailed traffic information to enhance control and decision-making. Eco-driving of CAVs h…