Toward carbon–neutral transportation electrification: a comprehensive and systematic review of eco-driving for electric vehicles
W Li, H Ding, N Xu, J Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to forward the development of transportation electrification and reach the goal of
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …
Power-based optimal longitudinal control for a connected eco-driving system
Automatic longitudinal control of vehicles is an automobile technology that has been
implemented for many years. Connected eco-driving has the potential to extend the …
implemented for many years. Connected eco-driving has the potential to extend the …
Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles
The battery state of available power (SOAP) is crucial to improve the energy management of
electric vehicles (EVs) and protect batteries from damage. This paper proposes a novel …
electric vehicles (EVs) and protect batteries from damage. This paper proposes a novel …
Drivers and barriers to implementation of connected, automated, shared, and electric vehicles: An agenda for future research
A Mahdavian, A Shojaei, S Mccormick… - IEEE …, 2021 - ieeexplore.ieee.org
Several converging trends appear to reshape the way citizens and goods move about.
These trends are social, including urbanization and population growth, and technological …
These trends are social, including urbanization and population growth, and technological …
Energy-efficient adaptive cruise control for electric connected and autonomous vehicles
This paper presented an energy-efficient adaptive cruise control, called Energy-Efficient
Electric Driving Model (E3DM), for electric, connected, and autonomous vehicles (e-CAVs) …
Electric Driving Model (E3DM), for electric, connected, and autonomous vehicles (e-CAVs) …
[HTML][HTML] Model predictive control and deep reinforcement learning based energy efficient eco-driving for battery electric vehicles
K Yeom - Energy Reports, 2022 - Elsevier
Automated self-driving vehicles not only allow of improved energy saving but also better
traffic flow. In particular, with the rapid technological advance of autonomous self-driving …
traffic flow. In particular, with the rapid technological advance of autonomous self-driving …
Nonlinear model predictive control for ecological driver assistance systems in electric vehicles
Abstract Battery Electric Vehicle (BEV) has one of the most promising drivetrain technology.
However, the BEVs are facing the limited cruising range which generally reduces their share …
However, the BEVs are facing the limited cruising range which generally reduces their share …
An integrated supply-demand model for the optimization of energy flow in the urban system
H Farzaneh, CNH Doll, JAP De Oliveira - Journal of Cleaner Production, 2016 - Elsevier
This research aims to develop a bottom-up integrated supply-demand model to assess the
optimal performance of urban energy systems. To this end, an optimization model founded …
optimal performance of urban energy systems. To this end, an optimization model founded …
Energy-Saving Speed Planning for Electric Vehicles Based on RHRL in Car following Scenarios
H Xu, N Zhang, Z Li, Z Zhuo, Y Zhang, Y Zhang, H Ding - Sustainability, 2023 - mdpi.com
Eco-driving is a driving vehicle strategy aimed at minimizing energy consumption; that is, it is
a method to improve vehicle efficiency by optimizing driving behavior without making any …
a method to improve vehicle efficiency by optimizing driving behavior without making any …
Design of a switching nonlinear MPC for emission aware ecodriving
GP Incremona, P Polterauer - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Advanced automation and information systems are sha** the future of transportation by
enabling advanced approaches, such as ecodriving control strategies, which improve safety …
enabling advanced approaches, such as ecodriving control strategies, which improve safety …