Rear wheel torque vectoring model predictive control with velocity regulation for electric vehicles

Show simple item record

dc.contributor.author Siampis, Efstathios
dc.contributor.author Velenis, Efstathios
dc.contributor.author Longo, Stefano
dc.date.accessioned 2016-06-09T18:22:31Z
dc.date.available 2016-06-09T18:22:31Z
dc.date.issued 2015-07-20
dc.identifier.citation Efstathios Siampis, Efstathios Velenis and Stefano Longo. Rear wheel torque vectoring model predictive control with velocity regulation for electric vehicles. Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility. Volume 53, Issue 11, 2015. pp1555-1579 en_UK
dc.identifier.issn 0042-3114
dc.identifier.uri http://dx.doi.org/10.1080/00423114.2015.1064972
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/9953
dc.description.abstract In this paper we propose a constrained optimal control architecture for combined velocity, yaw and sideslip regulation for stabilisation of the vehicle near the limit of lateral acceleration using the rear axle electric torque vectoring configuration of an electric vehicle. A nonlinear vehicle and tyre model are used to find reference steady-state cornering conditions and design two model predictive control (MPC) strategies of different levels of fidelity: one that uses a linearised version of the full vehicle model with the rear wheels' torques as the input, and another one that neglects the wheel dynamics and uses the rear wheels' slips as the input instead. After analysing the relative trade-offs between performance and computational effort, we compare the two MPC strategies against each other and against an unconstrained optimal control strategy in Simulink and Carsim environment. en_UK
dc.language.iso en en_UK
dc.publisher Taylor and Francis en_UK
dc.rights Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subject torque vectoring en_UK
dc.subject model predictive control en_UK
dc.subject combined velocity en_UK
dc.subject yaw and sideslip control en_UK
dc.subject limit handling en_UK
dc.title Rear wheel torque vectoring model predictive control with velocity regulation for electric vehicles en_UK
dc.type Article en_UK


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search CERES


Browse

My Account

Statistics