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20202026
most citedA Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles

10 citations · 14 across the 10 of their papers we have counts for

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6 papers · 1 filter

eess.SY2021

Model Predictive Control for Automotive Climate Control Systems via Value Function Approximation

Dennis Kibalama, Yuxing Liu, Stephanie Stockar +1

Among the auxiliary loads in light-duty vehicles, the air conditioning system is the single largest energy consumer. For electrified vehicles, the impact of heating and cooling loa…

eess.SY2021★ 3 cited

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

Shreshta Rajakumar Deshpande, Shobhit Gupta, Abhishek Gupta +1

Connected and Automated Vehicles (CAVs), particularly those with a hybrid electric powertrain, have the potential to significantly improve vehicle energy savings in real-world driv…

eess.SY2021

Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity

Shobhit Gupta, Marcello Canova

The Eco-Driving control problem seeks to perform fuel efficient speed planning for a Connected and Autonomous Vehicle (CAV) that can exploit information available from advanced map…

eess.SY2021

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

Zhaoxuan Zhu, Shobhit Gupta, Nicola Pivaro +2

Predictive energy management of Connected and Automated Vehicles (CAVs), in particular those with multiple power sources, has the potential to significantly improve energy savings…

eess.SY2021★ 10 cited

A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles

Zhaoxuan Zhu, Shobhit Gupta, Abhishek Gupta +1

Connected and Automated Vehicles (CAVs), in particular those with multiple power sources, have the potential to significantly reduce fuel consumption and travel time in real-world…

eess.SY2020

Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle

Shreshta Rajakumar Deshpande, Daniel Jung, Marcello Canova

This paper focuses on the velocity planning and energy management problems for Connected and Automated Vehicles (CAVs) with hybrid electric powertrains. The eco-driving problem is…