[HTML][HTML] A review of model predictive controls applied to advanced driver-assistance systems
Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …
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 …
(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
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 …
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 …
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 …
the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise control …
Ecological adaptive cruise control for urban environments using SPaT information
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 …
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
With the emergence of vehicle-communication technologies, many researchers have
strongly focused their interest in vehicle energy-efficiency control using this connectivity. For …
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 …
vehicles in intelligent transportation systems, a hierarchical energy management strategy …
Energy efficient and safe control strategy for electric vehicles including driver preference
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 …
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 …
electric vehicles in car-following scenarios. Specifically, a controller based on model …