[HTML][HTML] Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook

F Zhang, X Hu, R Langari, D Cao - Progress in Energy and Combustion …, 2019 - Elsevier
The rapid development of intelligent transportation system (ITS) offers great opportunities to
improve the overall performance of energy management strategies (EMSs) for connected …

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 …

Path tracking and direct yaw moment coordinated control based on robust MPC with the finite time horizon for autonomous independent-drive vehicles

H Peng, W Wang, Q An, C Xiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is a striking fact that the characteristics of parametric uncertainties, external disturbance,
time-varying and nonlinearities are available in the constructed model of autonomous …

Powertrain design and control in electrified vehicles: A critical review

X Hu, J Han, X Tang, X Lin - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Electrified vehicles are considered a promising technology for energy savings and emission
reductions. Both powertrain design (configuration design and component sizing) and energy …

Review on eco-driving control for connected and automated vehicles

J Li, A Fotouhi, Y Liu, Y Zhang, Z Chen - Renewable and Sustainable …, 2024 - Elsevier
With the development of communication and automation technologies, the great energy-
saving potential of connected and automated vehicles (CAVs) has gradually been …

Hierarchical predictive control for electric vehicles with hybrid energy storage system under vehicle-following scenarios

Y Wu, Z Huang, H Hofmann, Y Liu, J Huang, X Hu… - Energy, 2022 - Elsevier
For electric vehicles with hybrid energy storage system, driving economy depends not only
on novel energy management strategies but also on load power demand. In order to …

Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management

R Lian, H Tan, J Peng, Q Li, Y Wu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Developing energy management strategies (EMSs) for different types of hybrid electric
vehicles (HEVs) is a time-consuming and laborious task for automotive engineers …

Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios

X Hu, X Zhang, X Tang, X Lin - Energy, 2020 - Elsevier
This paper develops a model predictive multi-objective control framework for HEVs in car-
following scenarios to investigate the interplay between fuel economy, vehicle exhaust …

Hierarchical speed planning and energy management for autonomous plug-in hybrid electric vehicle in vehicle-following environment

Y Liu, B Huang, Y Yang, Z Lei, Y Zhang, Z Chen - Energy, 2022 - Elsevier
In this paper, a hierarchical energy management control strategy is investigated for
autonomous plug-in hybrid electric vehicle in vehicle-following environment. With the target …

Predictive vehicle-following power management for plug-in hybrid electric vehicles

S Xie, X Hu, T Liu, S Qi, K Lang, H Li - Energy, 2019 - Elsevier
This paper presents a new integrated model predictive control (IMPC) method that combines
power management and adaptive velocity control during vehicle-following scenarios in …