Driving conditions-driven energy management strategies for hybrid electric vehicles: A review
Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …
industrial engineers and academic researchers have made many efforts to construct more …
Noise and vibration suppression in hybrid electric vehicles: State of the art and challenges
The need for more efficient and renewable means of transport makes the development of
hybrid electric vehicles (HEVs) an important topic for both automobile manufacturers and …
hybrid electric vehicles (HEVs) an important topic for both automobile manufacturers and …
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) …
Naturalistic data-driven predictive energy management for plug-in hybrid electric vehicles
A predictive energy management strategy considering travel route information is proposed
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …
to explore the energy-saving potential of plug-in hybrid electric vehicles. The extreme …
Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences
This study investigates the interconnected influence of socio-demographics, behavioral,
economic, and technical factors associated with electric vehicle (EV) adoption interest and …
economic, and technical factors associated with electric vehicle (EV) adoption interest and …
Double deep reinforcement learning-based energy management for a parallel hybrid electric vehicle with engine start–stop strategy
Committed to optimizing the fuel economy of hybrid electric vehicles (HEVs), improving the
working conditions of the engine, and promoting research on deep reinforcement learning …
working conditions of the engine, and promoting research on deep reinforcement learning …
Adaptive hierarchical energy management design for a plug-in hybrid electric vehicle
To promote the real-time application of the advanced energy management system in hybrid
electric vehicles (HEVs), this paper proposes an adaptive hierarchical energy management …
electric vehicles (HEVs), this paper proposes an adaptive hierarchical energy management …
Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios
This paper develops a model predictive multi-objective control framework for HEVs in car-
following scenarios to investigate the interplay between fuel economy, vehicle exhaust …
following scenarios to investigate the interplay between fuel economy, vehicle exhaust …
An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses
X Tian, Y Cai, X Sun, Z Zhu, Y Xu - Energy, 2019 - Elsevier
In this paper, an adaptive energy management system consisting of off-line and online parts
is presented to improve the energy efficiency of a parallel hybrid electric bus. The off-line …
is presented to improve the energy efficiency of a parallel hybrid electric bus. The off-line …
Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning
G Du, Y Zou, X Zhang, Z Kong, J Wu, D He - Applied Energy, 2019 - Elsevier
The energy management approach of hybrid electric vehicles has the potential to overcome
the increasing energy crisis and environmental pollution by reducing the fuel consumption …
the increasing energy crisis and environmental pollution by reducing the fuel consumption …