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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/33366

Title: MIMO (Multiple-Input-Multiple-Output) control for optimising the future gasoline powertrain - A survey
Authors: Petrovich, Simon
Ebrahimi, Kambiz Morteza
Pezouvanis, Antonios
Keywords: Automotive
Powertrain
MIMO (Multi-Input, Multi-Output)
Modelling
Control
Electrification
Energy recovery
Optimisation
Issue Date: 2017
Publisher: © SAE International
Citation: PETROVICH, S., EBRAHIMI, K.M. and PEZOUVANIS, A., 2017. MIMO (Multiple-Input-Multiple-Output) control for optimising the future gasoline powertrain - A survey. SAE Technical Papers, 2017-01-0600.
Series/Report no.: SAE Technical Papers;2017-01-0600
Abstract: This paper surveys publications on automotive powertrain control, relating to modern GTDI (Gasoline Turbocharged Direct Injection) engines. The requirements for gasoline engines are optimising the airpath but future legislation suggests not only a finely controlled airpath but also some level of electrification. Fundamentals of controls modelling are revisited and advancements are highlighted. In particular, a modern GTDI airpath is presented based on basic building blocks (volumes, turbocharger, throttle, valves and variable cam timing or VCT) with an example of a system interaction, based on boost pressure and lambda control. Further, an advanced airpath could be considered with applications to downsizing and fuel economy. A further electrification step is reviewed which involves interactions with the airpath and requires a robust energy management strategy. Examples are taken of energy recovery and e-machine placement. Control-oriented models of gasoline engines are reviewed, and challenging control problems for conventional engines and hybrid vehicle powertrains are discussed, in particular relating to consideration of the complex interactions. A systems approach is needed to understand the attribute trade-off, with fuel consumption, emissions, as well as energy storage on a particular drive cycle. This necessitates an optimisation methodology and appropriate problem formulation of objective, states and constraints. A discussion of optimisation techniques is considered. Finally, a comprehensive list of references is provided.
Description: This paper was published in SAE Technical Papers and the definitive published version is available at https://doi.org/10.4271/2017-01-0600.
Version: Accepted for publication
DOI: 10.4271/2017-01-0600
URI: https://dspace.lboro.ac.uk/2134/33366
Publisher Link: https://doi.org/10.4271/2017-01-0600
ISSN: 0148-7191
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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