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 …

Integrated convex speed planning and energy management for autonomous fuel cell hybrid electric vehicles

A Meshginqalam, J Bauman - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fuel cell hybrid electric vehicles (FCHEVs) have zero harmful emissions, fast refueling
times, and long driving ranges. Autonomous FCHEVs add benefits such as collision …

Modeling and engineering constrained shortest path algorithms for battery electric vehicles

M Baum, J Dibbelt, D Wagner… - Transportation …, 2020 - pubsonline.informs.org
We study the problem of computing constrained shortest paths for battery electric vehicles.
Because battery capacities are limited, fastest routes are often infeasible. Instead, users are …

Impact of the velocity profile on energy consumption of electric vehicles

A Desreveaux, A Bouscayrol, R Trigui… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The driving range of electric vehicles is an important issue. The velocity profile can have an
important impact on their energy consumption and thus their driving range. In this paper, a …

Optimal driving based trip planning of electric vehicles using evolutionary algorithms: A driving assistance system

M Khanra, AK Nandi - Applied Soft Computing, 2020 - Elsevier
The existing driving assistance systems (DAS) are not capable to manage the electric
vehicle (EV) problems namely insufficiency of charging stations and inadequate range. A …

Two-level MPC speed profile optimization of autonomous electric vehicles considering detailed internal and external losses

A Meshginqalam, J Bauman - IEEE Access, 2020 - ieeexplore.ieee.org
This paper proposes a novel two-level model predictive control (MPC) speed control
algorithm for autonomous vehicles as a successive convex optimization problem focused on …

Maneuver planning for highly automated vehicles

C Menéndez-Romero, F Winkler… - 2017 IEEE Intelligent …, 2017 - ieeexplore.ieee.org
One important aspect of autonomous driving lies in the selection of maneuver sequences.
Here the challenge is to optimize the driving comfort and travel-duration, while always …

An overview of driver feedback systems for efficiency and safety

J Rios-Torres, A Malikopoulos - 2016 IEEE 19th international …, 2016 - ieeexplore.ieee.org
Driver feedback systems have the potential to improve driving safety and efficiency by
providing instructions to drivers aimed at improving their driving style. There is already a rich …

Investigation of critical parameters for selecting energy-optimal cruising speed using a low-computation framework

A Meshginqalam, J Bauman - IEEE Transactions on Industry …, 2021 - ieeexplore.ieee.org
This article proposes a low-computation framework for on-board calculation of energy-
optimal cruising speed, and uses the framework to investigate the critical parameters for …

An onboard real-time-implementable framework for calculating the optimal cruising speed of electric autonomous vehicles

A Meshginqalam, J Bauman - 2019 IEEE Transportation …, 2019 - ieeexplore.ieee.org
This paper takes a new approach to determining the energy-optimal cruising speed of an
autonomous electric vehicle by using accurate loss look-up tables instead of approximated …