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) …

A significant body of literature discusses direct yaw moment controllers for vehicle stability
control and torque-vectoring (TV), based on model predictive control. However, the available …

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 …

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

Application of regenerative braking on electric vehicles has to be carefully optimized in order
to maximize the system efficiency, maintaining high performance and reliability levels that …