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 …

Power-based optimal longitudinal control for a connected eco-driving system

Q **, G Wu, K Boriboonsomsin… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles

L Yang, Y Cai, Y Yang, Z Deng - Applied Energy, 2020 - Elsevier
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 …

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 …

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) …

[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 …

Nonlinear model predictive control for ecological driver assistance systems in electric vehicles

SA Sajadi-Alamdari, H Voos, M Darouach - Robotics and Autonomous …, 2019 - Elsevier
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 …

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 …

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 …

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 …