Energy management strategies for hybrid electric vehicles: Review, classification, comparison, and outlook

F Zhang, L Wang, S Coskun, H Pang, Y Cui, J Xi - Energies, 2020 - mdpi.com
Hybrid Electric Vehicles (HEVs) have been proven to be a promising solution to
environmental pollution and fuel savings. The benefit of the solution is generally realized as …

Deep reinforcement learning and reward shaping based eco-driving control for automated HEVs among signalized intersections

J Li, X Wu, M Xu, Y Liu - Energy, 2022 - Elsevier
In a connected traffic environment with signalized intersections, eco-driving control needs to
co-optimize fuel economy (fuel consumption), driving safety (collisions and red lights), and …

Integrated thermal and energy management of connected hybrid electric vehicles using deep reinforcement learning

H Zhang, B Chen, N Lei, B Li, R Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The climate-adaptive mymargin energy management system (EMS) holds promising
potential for harnessing the concealed energy-saving capabilities of connected plug-in …

Overcoming driving challenges in complex urban traffic: A multi-objective eco-driving strategy via safety model based reinforcement learning

J Li, X Wu, J Fan, Y Liu, M Xu - Energy, 2023 - Elsevier
This study proposes a novel eco-driving control strategy for connected and automated
hybrid electric vehicles, which utilizes deep reinforcement learning (DRL) to optimize …

Energy management strategy of series–parallel hybrid transmission integrating map information and personalized driving characteristics

J Zhao, X Xu, W Guo, P Dong, K Yao, X Liu - ETransportation, 2024 - Elsevier
The integration of multi-source intelligent and connected information during a driving trip,
along with its online application to globally optimized energy management strategies, has …

Green light optimal speed advisory system designed for electric vehicles considering queuing effect and driver's speed tracking error

Z Zhang, Y Zou, X Zhang, T Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
The GLOSA (Green Light Optimal Speed Advisory) system provides speed advice to drivers
so that drivers can pass through congested intersections at right instant with shorter time and …

A deep reinforcement learning based hierarchical eco-driving strategy for connected and automated HEVs

X Wu, J Li, C Su, J Fan, M Xu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
The advancement in vehicle connectivity and autonomy has fostered the development of
eco-driving technology, aimed at optimizing driving behaviors to reduce vehicle energy …

Multiobjective optimization of safety, comfort, fuel economy, and power sources durability for FCHEV in car-following scenarios

L Zhu, F Tao, Z Fu, H Sun, B Ji… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Safety, comfort, and energy-saving oriented car-following issue for fuel cell/battery hybrid
electric vehicle (FCHEV) is a comprehensive problem of vehicle dynamic and fuel economy …

An electric-hydrostatic energy storage system for hydraulic hybrid wheel loader

F Wang, Z Lin, B Xu, W Fiebig - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
As a typical energy storage in hydraulic hybrid powertrain, the hydraulic accumulator has
high power density but low energy density. There are some efforts in improving the energy …

Tri-stage optimal dispatch for a microgrid in the presence of uncertainties introduced by EVs and PV

F Jiao, C Ji, Y Zou, X Zhang - Applied Energy, 2021 - Elsevier
This paper proposes a novel tri-stage online dispatch framework that coordinates the
charging behaviors of electrical vehicles (EVs) within an AC/DC hybrid microgrid in the …