Integration of torque blending and slip control using nonlinear model predictive control

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dc.contributor.author Basrah, M. Sofian
dc.contributor.author Siampis, Efstathios
dc.contributor.author Velenis, Efstathios
dc.contributor.author Cao, Dongpu
dc.contributor.author Longo, Stefano
dc.date.accessioned 2016-09-29T18:47:09Z
dc.date.available 2016-09-29T18:47:09Z
dc.date.issued 2016-09-30
dc.identifier.citation M. Sofian Basrah, Efstathios Siampis, Efstathios Velenis, Dongpu Cao and Stefano Longo. Integration of torque blending and slip control using nonlinear model predictive control. In: 13th International Symposium on Advanced Vehicle Control, AVEC'16, 13-16 September 2016, Munich, Germany, pp.585-592 en_UK
dc.identifier.uri https://doi.org/10.1201/9781315265285
dc.identifier.uri https://www.taylorfrancis.com/books/9781315265285
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/10633
dc.description.abstract Antilock Braking System (ABS) is an important active safety feature in preventing accidents during emergency braking. Electrified vehicles which include both hydraulic and regenerative braking systems provide the opportunity to implement brake torque blending during slip control operation. This study evaluates the design and implementation of a new torque allocation algorithm using a Nonlinear Model Predictive Control (NMPC) strategy that can run in real-time, with results showing that wheel-locking can be prevented while also permitting for energy recuperation. en_UK
dc.language.iso en en_UK
dc.publisher Unknown en_UK
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.subject Brake en_UK
dc.subject active safety en_UK
dc.subject full-electric vehicles en_UK
dc.subject hybrid electric vehicles en_UK
dc.title Integration of torque blending and slip control using nonlinear model predictive control en_UK
dc.type Conference paper en_UK


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