Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles

no code implementations • 24 Jul 2020 • Teng Liu, Bo wang, Dongpu Cao, Xiaolin Tang, Yalian Yang

As the core of this study, model predictive control and reinforcement learning are combined to improve the powertrain mobility and fuel economy for a group of automated vehicles.

Autonomous Vehicles Decision Making +3

Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment

no code implementations • 16 Jul 2020 • Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenbo Li, Zejian Deng, Yalian Yang

As a typical vehicle-cyber-physical-system (V-CPS), connected automated vehicles attracted more and more attention in recent years.

Autonomous Vehicles Decision Making +3

Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition

no code implementations • 16 Jul 2020 • Teng Liu, Xiaolin Tang, Jiaxin Chen, Hong Wang, Wenhao Tan, Yalian Yang

Energy management strategies (EMSs) are the most significant components in hybrid electric vehicles (HEVs) because they decide the potential of energy conservation and emission reduction.

Computational Efficiency energy management +3