Optimal Vehicle Dynamics and Powertrain Control for Connected and Automated Vehicles
arXiv:1903.03084 · doi:10.1109/CCTA.2019.8920531
Abstract
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.
6 pages, 2 figures, 1 table, conference
Cited by in corpus (5)
- Decentralized Optimal Coordination of Connected and Automated Vehicles for Multiple Traffic Scenarios
- A Research and Educational Robotic Testbed for Real-time Control of Emerging Mobility Systems: From Theory to Scaled Experiments
- Conditions to Provable System-Wide Optimal Coordination of Connected and Automated Vehicles
- A Decentralized Time- and Energy-Optimal Control Framework for Connected Automated Vehicles: From Simulation to Field Test
- Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation