Model predictive control for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles
This study presents an integrated multi-objective controller for electric vehicles (EVs) to
achieve four main control objectives concurrently, ie slip control in traction and braking …
achieve four main control objectives concurrently, ie slip control in traction and braking …
A review on braking control and optimization techniques for electric vehicle
NM Jamadar, HT Jadhav - Proceedings of the Institution of …, 2021 - journals.sagepub.com
In this modern world, due to limited fossil fuels, increasing cost, and environmental concerns
a clean and sustainable transportation system in the form of electric vehicles (EV) is now …
a clean and sustainable transportation system in the form of electric vehicles (EV) is now …
Simultaneous observation of hybrid states for cyber-physical systems: A case study of electric vehicle powertrain
As a typical cyber-physical system (CPS), electrified vehicle becomes a hot research topic
due to its high efficiency and low emissions. In order to develop advanced electric …
due to its high efficiency and low emissions. In order to develop advanced electric …
Novel torsional vibration modeling and assessment of a power-split hybrid electric vehicle equipped with a dual-mass flywheel
The research described in this paper is aimed at exploring the effect of a dual-mass flywheel
on the torsional vibration characteristics of a power-split hybrid powertrain. The dynamic …
on the torsional vibration characteristics of a power-split hybrid powertrain. The dynamic …
Dynamic state estimation for the advanced brake system of electric vehicles by using deep recurrent neural networks
Dynamic state estimation is of considerable importance to the system monitoring, advanced
control, and energy management of electrified vehicles (EVs). Among the dynamic states of …
control, and energy management of electrified vehicles (EVs). Among the dynamic states of …
Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle
The recognition of driver's braking intensity is of great importance for advanced control and
energy management for electric vehicles. In this paper, the braking intensity is classified into …
energy management for electric vehicles. In this paper, the braking intensity is classified into …
High-precision hydraulic pressure control based on linear pressure-drop modulation in valve critical equilibrium state
High precision and fast response are of great significance for hydraulic pressure control in
automotive braking systems. In this paper, a novel sliding mode control based high …
automotive braking systems. In this paper, a novel sliding mode control based high …
[HTML][HTML] The economic aspect of using different plug-in hybrid driving techniques in urban conditions
Plug-in hybrids (PHEV) have become popular due to zero-emission driving, eg, in urban
areas, and using an internal combustion engine on longer distances. Energy consumption …
areas, and using an internal combustion engine on longer distances. Energy consumption …
Braking/steering coordination control for in-wheel motor drive electric vehicles based on nonlinear model predictive control
J Zhu, Z Wang, L Zhang, DG Dorrell - Mechanism and Machine Theory, 2019 - Elsevier
Braking and steering are common maneuvers performed by drivers during driving. This
paper presents a hierarchy control strategy to coordinate the braking and steering …
paper presents a hierarchy control strategy to coordinate the braking and steering …
Heading tracking of 6WID/4WIS unmanned ground vehicles with variable wheelbase based on model free adaptive control
Y Jiang, X Xu, L Zhang - Mechanical Systems and Signal Processing, 2021 - Elsevier
The six-wheel independent drive and four-wheel independent steering unmanned ground
vehicle (6WID/4WIS UGV) with variable wheelbase has unique advantages in …
vehicle (6WID/4WIS UGV) with variable wheelbase has unique advantages in …