Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming

no code implementations • 5 Aug 2021 • Shreshta Rajakumar Deshpande, Shobhit Gupta, Abhishek Gupta, Marcello Canova

This paper presents a hierarchical multi-layer Model Predictive Control (MPC) approach for improving the fuel economy of a 48V mild-hybrid powertrain in a connected vehicle environment.

Autonomous Vehicles Model Predictive Control

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