A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation
Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
Review of integrated chassis control techniques for automated ground vehicles
Integrated chassis control systems represent a significant advancement in the dynamics of
ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability …
ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability …
A unified framework for data-driven optimal control of connected vehicles in mixed traffic
This article presents a unified approach to the problem of learning-based optimal control of
connected human-driven and autonomous vehicles in mixed-traffic environments including …
connected human-driven and autonomous vehicles in mixed-traffic environments including …
Isoperimetric constraint inference for discrete-time nonlinear systems based on inverse optimal control
In this article, the problem of inferring unknown isoperimetric constraints is considered given
optimal state and control trajectories that solve the optimal control problem with isoperimetric …
optimal state and control trajectories that solve the optimal control problem with isoperimetric …
[HTML][HTML] Smart battery management technology in electric vehicle applications: Analytical and technical assessment toward emerging future directions
Electric vehicles (EVs) have received widespread attention in the automotive industry as the
most promising solution for lowering CO2 emissions and mitigating worldwide …
most promising solution for lowering CO2 emissions and mitigating worldwide …
[HTML][HTML] A battery SOC estimation method based on AFFRLS-EKF
M Li, Y Zhang, Z Hu, Y Zhang, J Zhang - Sensors, 2021 - mdpi.com
The lithium-ion battery is the key power source of a hybrid vehicle. Accurate real-time state
of charge (SOC) acquisition is the basis of the safe operation of vehicles. In actual …
of charge (SOC) acquisition is the basis of the safe operation of vehicles. In actual …
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 …
scenario is seriously affected by the decision-making framework. This article proposes a …
Meta-reinforcement learning-based transferable scheduling strategy for energy management
In Home Energy Management System (HEMS), the scheduling of energy storage equipment
and shiftable loads has been widely studied to reduce home energy costs. However …
and shiftable loads has been widely studied to reduce home energy costs. However …
An AI-assisted systematic literature review of the impact of vehicle automation on energy consumption
Impacts of vehicle automation and connectivity have been studied widely from the
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …
Energy-aware optimization of connected and automated electric vehicles considering vehicle-traffic nexus
Y Zhang, J Chen, T You, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The driving economy of the connected and automated electric vehicles (CAEVs) is seriously
affected by the vehicle-traffic nexus. In this article, an energy-aware optimization (EAO) …
affected by the vehicle-traffic nexus. In this article, an energy-aware optimization (EAO) …