Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges …

P Dong, J Zhao, X Liu, J Wu, X Xu, Y Liu… - … and Sustainable Energy …, 2022 - Elsevier
The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …

[HTML][HTML] Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies

DD Tran, M Vafaeipour, M El Baghdadi… - … and Sustainable Energy …, 2020 - Elsevier
Hybrid and electric vehicles have been demonstrated as auspicious solutions for ensuring
improvements in fuel saving and emission reductions. From the system design perspective …

Fuel cell electric vehicles—A brief review of current topologies and energy management strategies

IS Sorlei, N Bizon, P Thounthong, M Varlam… - Energies, 2021 - mdpi.com
With the development of technologies in recent decades and the imposition of international
standards to reduce greenhouse gas emissions, car manufacturers have turned their …

Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning

Y Wang, Y Wu, Y Tang, Q Li, H He - Applied Energy, 2023 - Elsevier
The advanced cruise control system has expanded the energy-saving potential of the hybrid
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …

Fuel cell-battery hybrid systems for mobility and off-grid applications: A review

S Ma, M Lin, TE Lin, T Lan, X Liao, F Maréchal… - … and Sustainable Energy …, 2021 - Elsevier
The global demand for fossil fuels in the transportation sector is increasing rapidly due to the
continuous growth of internal combustion engine vehicles. This leads to severe …

Distributed deep reinforcement learning-based energy and emission management strategy for hybrid electric vehicles

X Tang, J Chen, T Liu, Y Qin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …

Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle

R Lian, J Peng, Y Wu, H Tan, H Zhang - Energy, 2020 - Elsevier
The optimization and training processes of deep reinforcement learning (DRL) based
energy management strategy (EMS) can be very slow and resource-intensive. In this paper …

Hybrid electric vehicles: A review of energy management strategies based on model predictive control

X Lü, S Li, XH He, C Xie, S He, Y Xu, J Fang… - Journal of Energy …, 2022 - Elsevier
At present, hybrid electric vehicles are regarded as an effective way to solve global
environmental pollution and energy shortage. Energy management strategy is the core …

Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles

P Saiteja, B Ashok - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Abstract Hybrid Electric Vehicles (HEVs) are facing difficulties in the aspect of splitting the
demand power between various drivetrain components. To negate this issue an efficient …

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 …