[HTML][HTML] 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 review of the development trend of adaptive cruise control for ecological driving

C Pan, A Huang, L Chen, Y Cai… - Proceedings of the …, 2022 - journals.sagepub.com
Adaptive cruise control (ACC) is an important part of the advanced driver assistance system
(ADAS), which aims to improve the user's driving experience by reducing their manual …

Energy-optimal adaptive cruise control for electric vehicles based on linear and nonlinear model predictive control

Y Jia, R Jibrin, D Görges - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
This paper presents a novel function of energy-optimal adaptive cruise control (EACC) for
electric vehicles based on model predictive control (MPC), which plans the host car's speed …

Energy-optimal adaptive cruise control strategy for electric vehicles based on model predictive control

C Pan, A Huang, J Wang, L Chen, J Liang, W Zhou… - Energy, 2022 - Elsevier
Adaptive cruise control (ACC), as an important part of the process of realizing self driving, is
very consistent with the current concept of vehicle production vigorously advocating safety …

A literature review of energy optimal adaptive cruise control algorithms

S Vasebi, YM Hayeri, AM Saghiri - IEEE Access, 2023 - ieeexplore.ieee.org
Transportation sector and its impacts on climate change have received much attention over
the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise control …

Ecological adaptive cruise control for urban environments using SPaT information

SK Chada, A Purbai, D Görges, A Ebert… - 2020 IEEE Vehicle …, 2020 - ieeexplore.ieee.org
This paper proposes an ecological adaptive cruise control (EACC) strategy to minimize the
energy consumption of an electric vehicle using two linear model predictive controllers …

[HTML][HTML] Battery energy management of autonomous electric vehicles using computationally inexpensive model predictive control

K Han, TW Nguyen, K Nam - Electronics, 2020 - mdpi.com
With the emergence of vehicle-communication technologies, many researchers have
strongly focused their interest in vehicle energy-efficiency control using this connectivity. For …

[HTML][HTML] Eco-driving cruise control for 4WIMD-EVs based on receding Horizon reinforcement learning

Z Zhang, H Ding, K Guo, N Zhang - Electronics, 2023 - mdpi.com
Aiming to improve the distance per charge of four in-wheel independent motor-drive electric
vehicles in intelligent transportation systems, a hierarchical energy management strategy …

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 …

[HTML][HTML] Energy-Saving Optimization for Electric Vehicles in Car-Following Scenarios Based on Model Predictive Control

Y Liu, C Yao, C Guo, Z Yang, C Fu - World Electric Vehicle Journal, 2023 - mdpi.com
In this paper, an economy-oriented car-following control (EOCFC) strategy is proposed for
electric vehicles in car-following scenarios. Specifically, a controller based on model …