A comprehensive review of energy storage technology development and application for pure electric vehicles

F Jiang, X Yuan, L Hu, G **e, Z Zhang, X Li, J Hu… - Journal of Energy …, 2024‏ - Elsevier
Environmental pollution associated with emissions from conventional fuel vehicles is
beginning to become increasingly serious. To decrease the dependence on oil and …

[HTML][HTML] Optimal energy management strategies for hybrid electric vehicles: A recent survey of machine learning approaches

JJ Jui, MA Ahmad, MMI Molla, MIM Rashid - Journal of Engineering …, 2024‏ - Elsevier
Abstract Hybrid Electric Vehicles (HEVs) have emerged as a viable option for reducing
pollution and attaining fuel savings in addition to reducing emissions. The effectiveness of …

Data-driven predictive energy consumption minimization strategy for connected plug-in hybrid electric vehicles

H Zhang, N Lei, S Liu, Q Fan, Z Wang - Energy, 2023‏ - Elsevier
Highlights•Dual-mode combustion engine is incorporated into plug-in hybrid electric
vehicles.•Predictive energy management with engine start-stop and combustion mode …

Integrated thermal and energy management of connected hybrid electric vehicles using deep reinforcement learning

H Zhang, B Chen, N Lei, B Li, R Li… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
The climate-adaptive mymargin energy management system (EMS) holds promising
potential for harnessing the concealed energy-saving capabilities of connected plug-in …

[HTML][HTML] A multi-objective hierarchical deep reinforcement learning algorithm for connected and automated HEVs energy management

S Coskun, O Yazar, F Zhang, L Li, C Huang… - Control Engineering …, 2024‏ - Elsevier
Connected and autonomous vehicles have offered unprecedented opportunities to improve
fuel economy and reduce emissions of hybrid electric vehicle (HEV) in vehicular platoons. In …

Economic-social-oriented energy management of plug-in hybrid electric vehicles including social cost of carbon

Z Tao, P Guozhi, Z Yanwei, X Shaobo, Z Fengqi… - Journal of Energy …, 2024‏ - Elsevier
For plug-in hybrid electric vehicles (PHEVs), conventional energy management strategies
(EMSs) incorporate the output of the battery and power sources for energy-saving studies …

Smart energy management for plug-in hybrid electric vehicles: Integration of waterwheel plant algorithm and dual stream spectrum deconvolution neural network

N Madhanakkumar, M Vijayaragavan… - Journal of Energy …, 2024‏ - Elsevier
The growing energy crisis and increasing concerns about air pollution have intensified the
push for low-carbon, green, and sustainable development in the transportation sector. This …

Modeling and control system optimization for electrified vehicles: A data-driven approach

H Zhang, N Lei, B Chen, B Li, R Li, Z Wang - Energy, 2024‏ - Elsevier
Learning-based intelligent energy management systems for plug-in hybrid electric vehicles
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …

Adaptive spatio-temporal relation based transformer for traffic flow prediction

R Wang, L **, J Ye, F Zhang, X Yu… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
As network and autonomous driving technologies rapidly advance, traffic flow prediction has
become a crucial area of research. It plays a significant role in optimizing urban traffic …

Hierarchical model predictive control for energy management and lifespan protection in fuel cell electric vehicles

S Hou, H Chen, X Liu, J Cui, J Zhao, J Gao - Energy, 2025‏ - Elsevier
This study introduces a hierarchical model predictive control (HMPC) algorithm utilizing
multihorizon optimization for the energy management strategy (EMS) in connected fuel cell …