Deep reinforcement learning enabled self-learning control for energy efficient driving
To address the air pollution problems and reduce greenhouse gas emissions (GHG), plug-in
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …
Deep reinforcement learning-based vehicle energy efficiency autonomous learning system
To mitigate air pollution problems and reduce greenhouse gas emissions (GHG), plug-in
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …
Deep reinforcement learning based energy management for a hybrid electric vehicle
G Du, Y Zou, X Zhang, T Liu, J Wu, D He - Energy, 2020 - Elsevier
This research proposes a reinforcement learning-based algorithm and a deep reinforcement
learning-based algorithm for energy management of a series hybrid electric tracked vehicle …
learning-based algorithm for energy management of a series hybrid electric tracked vehicle …
Distributed deep reinforcement learning-based energy and emission management strategy for hybrid electric vehicles
Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …
Data-driven reinforcement learning–based real-time energy management system for plug-in hybrid electric vehicles
Plug-in hybrid electric vehicles (PHEVs) show great promise in reducing transportation-
related fossil fuel consumption and greenhouse gas emissions. Designing an efficient …
related fossil fuel consumption and greenhouse gas emissions. Designing an efficient …
[HTML][HTML] A deep reinforcement learning approach to energy management control with connected information for hybrid electric vehicles
P Mei, HR Karimi, H Xie, F Chen, C Huang… - … Applications of Artificial …, 2023 - Elsevier
Considering the importance of the energy management strategy for hybrid electric vehicles,
this paper is aiming at addressing the energy optimization control issue using reinforcement …
this paper is aiming at addressing the energy optimization control issue using reinforcement …
Deep reinforcement learning based PHEV energy management with co-recognition for traffic condition and driving style
N Cui, W Cui, Y Shi - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
As one of the key technologies of plug-in hybrid electric vehicle (PHEV), the energy
management strategy (EMS) is interactively influenced by driving style, traffic condition as …
management strategy (EMS) is interactively influenced by driving style, traffic condition as …
Energy management in electric vehicles using improved swarm optimized deep reinforcement learning algorithm
The internal combustion engine-based transportation system is causing severe problems
such as rising levels of pollution, rising petroleum prices, and the depletion of natural …
such as rising levels of pollution, rising petroleum prices, and the depletion of natural …
Hierarchical reinforcement learning based energy management strategy for hybrid electric vehicle
As the core technology of hybrid electric vehicles (HEVs), energy management strategy
directly affects the fuel consumption of vehicles. This research proposes a novel …
directly affects the fuel consumption of vehicles. This research proposes a novel …
Reinforcement learning for hybrid and plug-in hybrid electric vehicle energy management: Recent advances and prospects
Energy management is a critical technology in plug-in hybrid-electric vehicles (PHEVs) for
maximizing efficiency, fuel economy, and range, as well as reducing pollutant emissions. At …
maximizing efficiency, fuel economy, and range, as well as reducing pollutant emissions. At …