Overview of energy harvesting technologies used in road vehicles
J Caban, J Vrabel, D Górnicka, R Nowak, M Jankiewicz… - Energies, 2023 - mdpi.com
Road transport is one of the most important factors for the national economy due to its
universality and comprehensive possibilities of transporting people and goods …
universality and comprehensive possibilities of transporting people and goods …
Hierarchical energy-efficient control for CAVs at multiple signalized intersections considering queue effects
The rapid development of connected vehicles (CVs) has offered novel opportunities for eco-
driving control. Considering inherent spatial and temporal constraints from the preceding …
driving control. Considering inherent spatial and temporal constraints from the preceding …
[HTML][HTML] Fuel-optimal truck path and speed profile in dynamic conditions: An exact algorithm
We consider optimizing a truck's choice of path and speed profile to minimise fuel
consumption, exploiting real-time predictive information on dynamically varying traffic …
consumption, exploiting real-time predictive information on dynamically varying traffic …
Computationally efficient algorithm for eco-driving over long look-ahead horizons
This paper presents a computationally efficient algorithm for eco-driving along horizons of
over 100 km. The eco-driving problem is formulated as a bi-level program, where the bottom …
over 100 km. The eco-driving problem is formulated as a bi-level program, where the bottom …
Reducing the energy consumption of electric buses with design choices and predictive driving
Transportation electrification is increasing and recently more focus has been directed on
heavy vehicles and especially on city buses. Battery electric buses are inherently more …
heavy vehicles and especially on city buses. Battery electric buses are inherently more …
Regulation of uncertain Markov jump linear systems with application on automotive powertrain control
Modeling and control of dynamic systems that experience abrupt changes are challenging
and fundamental tasks in applications of different areas of engineering. Among these …
and fundamental tasks in applications of different areas of engineering. Among these …
Optimal eco-driving control of autonomous and electric trucks in adaptation to highway topography: Energy minimization and battery life extension
This article develops a model to plan energy-efficient speed trajectories of electric trucks in
real time by considering the information of topography and traffic ahead of the vehicle. In this …
real time by considering the information of topography and traffic ahead of the vehicle. In this …
Bilevel optimization for bunching mitigation and eco-driving of electric bus lines
R Lacombe, S Gros, N Murgovski… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The problems of bus bunching mitigation and the energy management of groups of vehicles
have traditionally been treated separately in the literature and been formulated in two …
have traditionally been treated separately in the literature and been formulated in two …
Investigation of regenerative braking performance of brushless direct current machine drive system
OC Kivanc, O Ustun - Applied Sciences, 2021 - mdpi.com
The brushless direct current (BLDC) machines which are preferred in light electric vehicles
(LEVs) come forward as high regenerative braking capability machines due to their …
(LEVs) come forward as high regenerative braking capability machines due to their …
Battery aging-minimal speed control of autonomous heavy-duty electric trucks in adaptation to highway topography and traffic
The development of battery electric (BE) heavy-duty trucks (HDTs) is highly limited to the
short cycling life of batteries. In this paper, we propose a battery aging-conscious control …
short cycling life of batteries. In this paper, we propose a battery aging-conscious control …