The problem of electric vehicle charging: State-of-the-art and an innovative solution
ON Nezamuddin, CL Nicholas… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper presents a comprehensive literature review with focus on the difficulties electric
vehicles (EVs) face to charge the battery while on a trip, and proposes a solution without the …
vehicles (EVs) face to charge the battery while on a trip, and proposes a solution without the …
A comparative study of deep reinforcement learning based energy management strategy for hybrid electric vehicle
Energy management strategies (EMSs) are essential for hybrid electric vehicles (HEVs), as
they can further exploit the potential of HEVs to save energy and reduce emissions …
they can further exploit the potential of HEVs to save energy and reduce emissions …
Adaptive neuro fuzzy inference system-based energy management controller for optimal battery charge sustaining in biofuel powered non-plugin hybrid electric …
In the hybrid electric vehicle, better performance can be acquired by implementing an
optimized energy management strategy. The purpose of this work is to improve the efficiency …
optimized energy management strategy. The purpose of this work is to improve the efficiency …
Comparison of architecture and adaptive energy management strategy for plug-in hybrid electric logistics vehicle
C Wei, X Sun, Y Chen, L Zang, S Bai - Energy, 2021 - Elsevier
This paper deals with the comparison of architecture and adaptive energy management
strategy (EMS) for hybrid powertrain system (HPS), including one or two electric motor, an …
strategy (EMS) for hybrid powertrain system (HPS), including one or two electric motor, an …
Integrating intelligent driving pattern recognition with adaptive energy management strategy for extender range electric logistics vehicle
Improving the fuel economy and optimizing power allocation of the extender range electric
logistics vehicles importantly relies on reasonable energy management strategies and …
logistics vehicles importantly relies on reasonable energy management strategies and …
Research on car-following control and energy management strategy of hybrid electric vehicles in connected scene
C Li, X Xu, H Zhu, J Gan, Z Chen, X Tang - Energy, 2024 - Elsevier
To address the comprehensive optimization problem of driving performance and fuel
economy in the driving process of hybrid electric vehicles (HEV) in the car-following scene in …
economy in the driving process of hybrid electric vehicles (HEV) in the car-following scene in …
Hierarchical operation switch schedule algorithm for energy management strategy of hybrid electric vehicle using adaptive dynamic programming
F Li, L Gao, Y Zhang, Y Liu - Sustainable Energy, Grids and Networks, 2023 - Elsevier
The cost-benefit of the hybrid electric vehicle (HEV) is strongly dependent on the operation
of the energy management system (EMS). In this paper, we propose a novel algorithm …
of the energy management system (EMS). In this paper, we propose a novel algorithm …
System-level energy management optimization based on external information for power-split hybrid electric buses
In recent years, the improvement of fuel economy in power-split hybrid electric buses (PS-
HEBs) has emerged as a prominent subject of discussion. This article introduces a system …
HEBs) has emerged as a prominent subject of discussion. This article introduces a system …
A rule-based control strategy of driver demand to enhance energy efficiency of hybrid electric vehicles
KD Huang, MK Nguyen, PT Chen - Applied Sciences, 2022 - mdpi.com
In recent years, hybrid electric vehicles (HEVs) have increased significantly due to climate
change and the demand for high-efficiency power sources. HEVs that combine an internal …
change and the demand for high-efficiency power sources. HEVs that combine an internal …
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Energy management systems (EMS) have traditionally been implemented using rule-based
control (RBC) and model predictive control (MPC) methods. However, recent research has …
control (RBC) and model predictive control (MPC) methods. However, recent research has …