[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 …

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 …

Robust LMI-based H-infinite controller integrating AFS and DYC of autonomous vehicles with parametric uncertainties

S Cheng, L Li, CZ Liu, X Wu, SN Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous vehicles' dynamics stability control is one key issue to ensure safety of self-
driving. However, vehicle uncertainties and time-varying parameters could weaken the …

An intelligent braking system composed single-pedal and multi-objective optimization neural network braking control strategies for electric vehicle

H He, C Wang, H Jia, X Cui - Applied Energy, 2020 - Elsevier
The braking system is significant to improve the total energy efficiency and ensure driving
security of electric vehicles. An intelligent braking system (IBS) composed single-pedal and …

Towards automated statistical partial discharge source classification using pattern recognition techniques

H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Safe and energy-saving vehicle-following driving decision-making framework of autonomous vehicles

Y Zhang, T You, J Chen, C Du, Z Ai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The safety and energy efficiency of autonomous vehicles in the vehicle-following driving
scenario is seriously affected by the decision-making framework. This article proposes a …

Simulating deployment of connectivity and automation on the Antwerp ring road

K Mattas, M Makridis, P Hallac… - IET Intelligent …, 2018 - Wiley Online Library
As connectivity and automation make their way in to transportation systems, they are
expected to have a forceful impact, drastically changing road transportation. The introduction …

Energy-efficient adaptive cruise control for electric connected and autonomous vehicles

C Lu, J Dong, L Hu - IEEE Intelligent Transportation Systems …, 2019 - ieeexplore.ieee.org
This paper presented an energy-efficient adaptive cruise control, called Energy-Efficient
Electric Driving Model (E3DM), for electric, connected, and autonomous vehicles (e-CAVs) …

Predictive intelligent driver model for eco-driving using upcoming traffic signal information

Q Xin, R Fu, W Yuan, Q Liu, S Yu - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
Without accounting for the signalized intersection constraints in the design of adaptive cruise
control (ACC) system, the ACC-equipped connected vehicle (CV) traveling on signalized …

A multi-objective model predictive control for vehicle adaptive cruise control system based on a new safe distance model

Z Liu, Q Yuan, G Nie, Y Tian - International Journal of Automotive …, 2021 - Springer
In order to be acceptable to drivers, the adaptive cruise control (ACC) systems need to be
designed based on the analysis of human driver driving behavior. A new safe distance …