Fast model predictive control and its application to energy management of hybrid electric vehicles

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dc.contributor.authorFekri, Sajjad
dc.contributor.authorAssadian, Francis
dc.date.accessioned2024-04-03T11:38:13Z
dc.date.available2024-04-03T11:38:13Z
dc.date.issued2011-06-24
dc.description.abstractModern day automotive engineers are required, among other objectives, to maximize fuel economy and to sustain a reasonably responsive car (i.e. maintain driveability) while still meeting increasingly stringent emission constraints mandated by the government. Towards this end, Hybrid Electric Vehicles (HEVs) have been introduced which typically combine two different sources of power, the traditional internal combustion engine (ICE) with one (or more) electric motors, mainly for optimising fuel efficiency and reducing Carbon Dioxide (CO2) and greenhouse gases (GHG) (Fuhs, 2008).en_UK
dc.identifier.citationFekri S. Assadian F. (2011) Chapter 1: Fast model predictive control and its application to energy management of hybrid electric vehicles. In: Advanced Model Predictive Control. IntechOpen, July 2011, pp. 3-28en_UK
dc.identifier.eissn978-953-51-6015-1
dc.identifier.isbn978-953-307-298-2
dc.identifier.urihttps://doi.org/10.5772/685
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21125
dc.language.isoen_UKen_UK
dc.publisherIntechopenen_UK
dc.rightsAttribution 3.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/*
dc.titleFast model predictive control and its application to energy management of hybrid electric vehiclesen_UK
dc.typeBook chapteren_UK

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