A review of model predictive controls applied to advanced driver-assistance systems

A Musa, M Pipicelli, M Spano, F Tufano, F De Nola… - Energies, 2021 - mdpi.com
Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …

A comprehensive survey on Software as a Service (SaaS) transformation for the automotive systems

DF Blanco, F Le Mouël, T Lin, MP Escudié - IEEE Access, 2023 - ieeexplore.ieee.org
Over the last few decades, automotive embedded Information and Communication
Technology (ICT) systems have been used to enhance vehicle performance and enrich …

Transportation efficiency evaluation under the policies of energy savings and emissions reduction

Q Xie, K Shi, X Wu, W Huang… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
The transportation industry is considered the foundation and bridge of national economic
development, enabling the growth of the social economy. However, it also consumes a …

Intelligent driver assistance and energy management systems of hybrid electric autonomous vehicles

Z Al-Saadi, D Phan Van, A Moradi Amani, M Fayyazi… - Sustainability, 2022 - mdpi.com
Automotive companies continue to develop integrated safety, sustainability, and reliability
features that can help mitigate some of the most common driving risks associated with …

Unsupervised learning of sampling distributions for particle filters

F Gama, N Zilberstein, M Sevilla… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Accurate estimation of the states of a nonlinear dynamical system is crucial for their design,
synthesis, and analysis. Particle filters are estimators constructed by simulating trajectories …

Architecture and potential of connected and autonomous vehicles

M Pipicelli, A Gimelli, B Sessa, F De Nola, G Toscano… - Vehicles, 2024 - mdpi.com
The transport sector is under an intensive renovation process. Innovative concepts such as
shared and intermodal mobility, mobility as a service, and connected and autonomous …

Predictive energy management for dual-motor BEVs considering temperature-dependent traction inverter loss

L Guo, B Yang, J Ye - IEEE transactions on transportation …, 2021 - ieeexplore.ieee.org
In this article, a predictive energy management system (EMS) for dual-motor battery electric
vehicles (BEVs) is proposed, considering temperature-dependent traction inverter loss. First …

Closed-form solutions for a real-time energy-optimal and collision-free speed planner with limited information

J Han, D Karbowski, N Kim - 2020 American Control …, 2020 - ieeexplore.ieee.org
Under real-world driving conditions, connected and automated vehicles (CAVs) must plan
and follow an energy-optimal and collision-free speed trajectory with a high updating rate …

Energy efficient and safe control strategy for electric vehicles including driver preference

SG Dehkordi, ME Cholette, GS Larue… - IEEE …, 2021 - ieeexplore.ieee.org
In this manuscript, a control strategy for electric vehicles is developed to optimise the energy
consumption while respecting constraints associated with both inter-vehicle safety and …

Driving Simulation for Energy Efficiency Studies: Analyzing Electric Vehicle Eco-Driving With EcoSimLab and the EcoDrivingTestPark

M Gödker, S Schmees, L Bernhardt… - Proceedings of the 16th …, 2024 - dl.acm.org
Driving simulators often lack fundamental components needed for accurate simulation of
energy dynamics. We introduce EcoSimLab, a comprehensive electric vehicle driving …