Efficient and integration stable nonlinear model predictive controller for autonomous vehicles based on the stabilized explicit integration method

L Ge, Y Zhao, S Zhong, Z Shan, F Ma, Z Han, K Guo - Nonlinear Dynamics, 2023 - Springer
There has been a growing interest in nonlinear model predictive control (NMPC) for the
motion control of autonomous driving. However, it is odd that integration stability has not …

[HTML][HTML] Switchable MPC-based multi-objective regenerative brake control via flow regulation for electric vehicles

M Mei, S Cheng, H Mu, Y Pei, B Li - Frontiers in Robotics and AI, 2023 - frontiersin.org
Recent investigations of the electric braking booster (E-Booster) focus on its potential to
enhance brake energy regeneration. A vehicle's hydraulic system is composed of the E …

Application of regenerative braking on electric vehicles

L Pugi, T Favilli, L Berzi… - … on Environment and …, 2019 - ieeexplore.ieee.org
Regenerative braking influences several aspects of design and performances of electric
vehicles. Improved performances of modern electric drives can be exploited to optimize …

Integration of a model predictive control with a fast energy management strategy for a hybrid powertrain of a connected and automated vehicle

E Landolfi, FJ Minervini, N Minervini… - World Electric Vehicle …, 2021 - mdpi.com
In the years to come, Connected and Automated Vehicles (CAVs) are expected to
substantially improve the road safety and environmental impact of the road transport sector …

Advanced path following control of an overactuated robotic vehicle

P Ritzer, C Winter, J Brembeck - 2015 IEEE Intelligent Vehicles …, 2015 - ieeexplore.ieee.org
This work describes an advanced path following control strategy enabling overactuated
robotic vehicles like the ROboMObil (ROMO)[1] to automatically follow predefined paths …

Design and validation of the second generation of the robomobil's vehicle dynamics controller

R de Castro, T Bünte… - … Symposium on Dynamics …, 2015 - api.taylorfrancis.com
This article presents the vehicle dynamics controller (VDC) developed for the ROboMObil,
an over-actuated electric vehicle prototype built by DLR. The main goal of the VDC is to …

Fuzzy logic control of electric vehicles in changing braking conditions

V Vodovozov, Z Raud, A Aksjonov… - 2020 XI International …, 2020 - ieeexplore.ieee.org
The paper focuses on the issues actual for braking manoeuvres of road electric vehicles.
Multiple researches carried out on car braking are classified here on their attitude towards …

Integration of torque blending and slip control using real-time nonlinear model predictive control

MS Basrah, E Siampis, E Velenis, D Cao… - Advanced Vehicle …, 2016 - taylorfrancis.com
Antilock Braking System (ABS) is a crucial active vehicle safety feature in preventing
accidents during emergency braking. Electrified vehicles which include both hydraulic and …

Autonomous Vehicle Motion Control Using NMPC Based on Orthogonal Collocation Method: Integration Stability Study

G Zhu, H Jie, W Hong - 2023 China Automation Congress …, 2023 - ieeexplore.ieee.org
Nonlinear model predictive control (NMPC) has gained increasing interest in motion control
of autonomous driving. Integration stability is one of the crucial factors influencing the …

Simulation study of electric vehicles at fuzzy PID control of braking torque

V Vodovozov, E Petlenkov, A Aksjonov… - … Conference on Informatics …, 2020 - Springer
The paper is devoted to intelligent control of road electric vehicles, aiming at reducing
energy losses at braking in traffic jams, changing velocity, and frequent start-stop modes of …