[HTML][HTML] Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review

Z Lv, W Shang - Green Technologies and Sustainability, 2023 - Elsevier
With the development of smart cities, new requirements have been put forward for the
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …

Distributed power generation planning for distribution networks using electric vehicles: Systematic attention to challenges and opportunities

B Singh, PK Dubey - Journal of Energy Storage, 2022 - Elsevier
Electric vehicular distributed generation are increasingly essential for distribution network
strategy. In recent years, electric car management and general administration have become …

[HTML][HTML] Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles

M Fayyazi, P Sardar, SI Thomas, R Daghigh, A Jamali… - Sustainability, 2023 - mdpi.com
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …

GWO-based optimal tuning of type-1 and type-2 fuzzy controllers for electromagnetic actuated clutch systems

CA Bojan-Dragos, RE Precup, S Preitl, RC Roman… - IFAC-PapersOnLine, 2021 - Elsevier
The goal of this paper is to develop the optimal fuzzy controllers for nonlinear processed
represented by electromagnetic actuated clutch systems in order to improve the control …

Interval type-2 fuzzy hierarchical adaptive cruise following-control for intelligent vehicles

H Mo, Y Meng, FY Wang, D Wu - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Intelligent vehicles can effectively improve traffic congestion and road traffic safety. Adaptive
cruise following-control (ACFC) is a vital part of intelligent vehicles. In this paper, a new …

[HTML][HTML] Function approximation reinforcement learning of energy management with the fuzzy REINFORCE for fuel cell hybrid electric vehicles

L Guo, Z Li, R Outbib, F Gao - Energy and AI, 2023 - Elsevier
In the paper, a novel self-learning energy management strategy (EMS) is proposed for fuel
cell hybrid electric vehicles (FCHEV) to achieve the hydrogen saving and maintain the …

Q-learning-based supervisory control adaptability investigation for hybrid electric vehicles

B Xu, X Tang, X Hu, X Lin, H Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As one of adaptive optimal controls, the Q-learning based supervisory control for hybrid
electric vehicle (HEV) energy management is rarely studied for its adaptability. In real-world …

[HTML][HTML] Novel strategies to reduce engine emissions and improve energy efficiency in hybrid vehicles

F Sher, S Chen, A Raza, T Rasheed… - Cleaner Engineering …, 2021 - Elsevier
Hybrid electric vehicles (HEV) can provide a same power as gasoline and diesel-powered
vehicles while also reducing fuel consumption by 40–50%. However, due to a complex …

Cyber-physical optimization-based fuzzy control strategy for plug-in hybrid electric buses using iterative modified particle swarm optimization

C Yang, R Chen, W Wang, Y Li… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
The fuel economy of plug-in hybrid electric bus (PHEB) is highly dependent on its energy
management strategy (EMS). In practice, the fuzzy control (FC) is widely used in EMS due to …

Priority-driven multi-objective model predictive control for integrated motion control and energy management of hybrid electric vehicles

H Wei, G Li, Y Wang, Y Lu, C Lv… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The integrated motion control and intelligent energy management problems of hybrid
electric vehicles (HEVs) can be divided into the sub-problems of fuel consumption …