The adoption of electric vehicles promises numerous benefits for modern society. At the
same time, there remain significant hurdles to their wide distribution, primarily related to …

This paper presents a traction control (TC) system for electric vehicles with in-wheel motors,
based on explicit nonlinear model predictive control. The feedback law, available …

This paper addresses the development and Hardware-in-the-Loop (HiL) testing of an explicit
nonlinear model predictive controller (eNMPC) for an antilock braking system (ABS) for …

Modern hybrid electric vehicles employ electric braking to recuperate energy during
deceleration. However, currently anti-lock braking system (ABS) functionality is delivered …

Application of regenerative braking on electric vehicles has a large impact on several
aspects of design, implemented functionalities and overall performances of road vehicles. In …

This paper presents a predictive braking control algorithm for electric vehicles with
redundant braking actuators, composed of friction brake actuator (s) and electric motor (s) …

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 …

This article presents a braking control algorithm for electric vehicles endowed with
redundant actuators, ie friction brakes and wheel-individual electric motors. This algorithm …

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 …

Autonomous driving motion control based on nonlinear model predictive control (NMPC)
faces integration stability issues when driving at low speeds. However, this issue has not …