Predictive AECMS by utilization of intelligent transportation systems for hybrid electric vehicle powertrain control

H Kazemi, YP Fallah, A Nix… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Information obtainable from intelligent transportation systems (ITS) provides the possibility of
improving safety and efficiency of vehicles at different levels. In particular, such information …

A general constrained optimization framework for the eco-routing problem: Comparison and analysis of solution strategies for hybrid electric vehicles

G De Nunzio, IB Gharbia, A Sciarretta - Transportation Research Part C …, 2021 - Elsevier
Vehicles electrification marks a very important step towards sustainable mobility. However,
energy efficiency and driving range of electrified vehicles are nowadays a major concern …

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 …

A study on opportune reduction in greenhouse gas emissions via adoption of electric drive vehicles in light duty vehicle fleets

KP Laberteaux, K Hamza - Transportation Research Part D: Transport and …, 2018 - Elsevier
Electrified powertrain vehicles have the potential to bring about significant reductions in
greenhouse gas (GHG) emissions in light-duty vehicle fleets as they replace conventional …

Optimizing the electric range of plug-in vehicles via fuel economy simulations of real-world driving in California

KP Laberteaux, K Hamza, J Willard - Transportation Research Part D …, 2019 - Elsevier
This paper presents a modeling and simulation study of the greenhouse gas (GHG)
emissions of plug-in vehicles subject to real-world driving conditions. The simulations utilize …

A bilevel energy management strategy for HEVs under probabilistic traffic conditions

A Le Rhun, F Bonnans, G De Nunzio… - … on Control Systems …, 2021 - ieeexplore.ieee.org
This work proposes a new approach for the optimal energy management of a hybrid electric
vehicle (EV) considering traffic conditions. The method is based on a bilevel decomposition …

Fuel consumption prediction for heavy-duty vehicles using digital maps

LL Ojeda, A Chasse, R Goussault - 2017 ieee 20th …, 2017 - ieeexplore.ieee.org
With the steep increase of heavy-duty transportation, more fuel efficient technologies and
services have become of great importance due to their environmental impact (in terms of CO …

Stochastic optimal control for the energy management of hybrid electric vehicles under traffic constraints

A Le Rhun - 2019 - theses.hal.science
The focus of this PhD thesis is to design an optimal Energy Management System (EMS) for a
Hybrid Electric Vehicle (HEV) following traffic constraints. In the current state of the art, EMS …

Extended Modeling, Calibration and Validity Assessment of Vehicle Models in Future Automotive Systems Technology Simulator via Real-World Driving Data

Software simulation tools for vehicle fuel economy/energy efficiency can play an important
role in strategic decisions about advanced powertrains. One such tool that has been …

Modeling the effect of power consumption in automated driving systems on vehicle energy efficiency for real-world driving in California

K Hamza, J Willard, KC Chu… - Transportation …, 2019 - journals.sagepub.com
Vehicle automation has drawn much attention in recent years, as it is perceived to usher in
new levels of safety, convenience, and energy efficiency in transportation. Much uncertainty …