[HTML][HTML] Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles

AS Mohammed, SM Atnaw, AO Salau, JN Eneh - Energy Reports, 2023 - Elsevier
Energy management strategies and optimal power source sizing for fuel cell/battery/super
capacitor hybrid electric vehicles (HEVs) are critical for power splitting and cost-effective …

A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution

AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

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 …

Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage

D Rangel-Martinez, KDP Nigam… - … Research and Design, 2021 - Elsevier
This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …

[HTML][HTML] Applications of reinforcement learning in energy systems

ATD Perera, P Kamalaruban - Renewable and Sustainable Energy …, 2021 - Elsevier
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …

[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 …

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 …

Driving conditions-driven energy management strategies for hybrid electric vehicles: A review

T Liu, W Tan, X Tang, J Zhang, Y **ng, D Cao - Renewable and Sustainable …, 2021 - Elsevier
Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …

Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle

R **ong, J Cao, Q Yu - Applied energy, 2018 - Elsevier
Power allocation is a crucial issue for hybrid energy storage system (HESS) in a plug-in
hybrid electric vehicle (PHEV). To obtain the best power distribution between the battery and …

Reinforcement learning for demand response: A review of algorithms and modeling techniques

JR Vázquez-Canteli, Z Nagy - Applied energy, 2019 - Elsevier
Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …