Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles

no code implementations • 25 May 2021 • Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta, Abhishek Gupta, Marcello Canova

Connected and Automated Hybrid Electric Vehicles have the potential to reduce fuel consumption and travel time in real-world driving conditions.

Model-based Reinforcement Learning reinforcement-learning +1

A GPU Implementation of a Look-Ahead Optimal Controller for Eco-Driving Based on Dynamic Programming

no code implementations • 3 Apr 2021 • Zhaoxuan Zhu, Shobhit Gupta, Nicola Pivaro, Shreshta Rajakumar Deshpande, Marcello Canova

Predictive energy management of Connected and Automated Vehicles (CAVs), in particular those with multiple power sources, has the potential to significantly improve energy savings in real-world driving conditions.

energy management Management