Model predictive torque vectoring control with active trail-braking for electric vehicles

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dc.contributor.advisor Velenis, Efstathios
dc.contributor.advisor Longo, Stefano
dc.contributor.author Zarkadis, Kinstantinos
dc.date.accessioned 2019-07-15T19:21:42Z
dc.date.available 2019-07-15T19:21:42Z
dc.date.issued 2018-02
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/14346
dc.description.abstract In this work we present the development of a torque vectoring controller for electric vehicles. The proposed controller distributes drive/brake torque between the four wheels to achieve the desired handling response and, in addition, intervenes in the longitudinal dynamics in cases where the turning radius demand is infeasible at the speed at which the vehicle is traveling. The proposed controller is designed in both the Linear and Nonlinear Model Predictive Control framework, which have shown great promise for real time implementation the last decades. Hence, we compare both controllers and observe their ability to behave under critical nonlinearities of the vehicle dynamics in limit handling conditions and constraints from the actuators and tyre-road interaction. We implement the controllers in a realistic, high fidelity simulation environment to demonstrate their performance using CarMaker and Simulink. en_UK
dc.language.iso en en_UK
dc.rights © Cranfield University, 2015. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.
dc.subject torque vectoring en_UK
dc.subject MPC en_UK
dc.subject nonlinear predictive control en_UK
dc.subject FEV en_UK
dc.title Model predictive torque vectoring control with active trail-braking for electric vehicles en_UK
dc.type Thesis en_UK


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