Modern hybrid electric vehicles employ electric braking to recuperate energy during deceleration. However, currently anti-lock braking system (ABS) functionality is delivered …
This thesis presents automotive applications of explicit non-linear model predictive control. Model predictive control is a state-of-the-art control methodology that allows for systematic …
V2X connectivity and powertrain electrification are emerging trends in the automotive sector, which enable the implementation of new control solutions. Most of the production electric …
A Scamarcio, C Caponio, M Mihalkov… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
V2X connectivity and powertrain electrification are emerging trends in the automotive sector, which enable the implementation of new control solutions. Most of the production electric …
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 …
G Rini, M De Bernardis, F Bottiglione… - International Journal of …, 2023 - Springer
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 …
In this paper, a model predictive vehicle stability controller is designed based on a combined- slip LuGre tyre model. Variations in the lateral tyre forces due to changes in tyre slip ratios …
This article presents a model predictive vehicle stability controller that considers tire force nonlinearities and the combined-slip effect. Loss of cornering forces caused by increased …
T Bächle, K Graichen, M Buchholz… - 2014 IEEE Conference …, 2014 - ieeexplore.ieee.org
This contribution proposes a nonlinear model predictive control allocation algorithm for control of an over-actuated electric vehicle in challenging driving situations. Based on a …