Fuzzy gear shifting control optimisation to improve vehicle performance, fuel consumption and engine emissions. Issue 16 (11th September 2019)

• Record Type: Journal Article
• Authors: Eckert, Jony Javorski; Santiciolli, Fabio M.; Yamashita, Rodrigo Y.; Corrêa, Fernanda C.; Silva, Ludmila C.A.; Dedini, Franco G.
• Is Part Of: IET control theory & applications. Volume 13:Issue 16(2019)
• Page Start: 2658
• Page End: 2669
• Publication Date: 2019-09-11
• Subjects: fuzzy set theory -- fuel economy -- engines -- optimal control -- power transmission (mechanical) -- hybrid electric vehicles -- fuzzy control -- air pollution control -- genetic algorithms -- gears -- road vehicles -- vehicle dynamics; vehicle behaviour -- longitudinal dynamics simulations -- fuel converter block -- engine emissions -- FTP‐75 emissions test procedure -- engine transient operation -- optimum fuzzy control -- optimisation criteria -- acceleration performance improvement -- standard gear shifting procedure -- manual controlled gearbox -- optimised fuzzy gear shifting control -- optimum AMT control -- control optimisation -- vehicle performance -- multiobjective optimisation -- automated manual transmission -- engine fuel consumption -- optimum fuzzy membership functions -- output ranges -- optimum control rules -- nitrogen oxides emissions reduction -- adaptive‐weight genetic algorithm -- carbon monoxide; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2018.6272
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : This study presents a multiobjective optimisation applied to the gear shifting fuzzy control of a vehicle equipped with an automated manual transmission (AMT), aiming to improve acceleration performance and reduce engine fuel consumption and emissions. An Adaptive‐Weight Genetic Algorithm was employed to find optimum fuzzy membership functions, according to the input and output ranges, and also optimum control rules with their respective weights. The vehicle behaviour is represented by longitudinal dynamics simulations developed in Simulink/Matlab ™ interface, associated with the ADVISOR ™ fuel converter block, that provides the engine emissions and fuel consumption. These simulations were based on the FTP‐75 emissions test procedure, that considers cold and hot phases of the driving cycle evaluating the engine transient operation as a function of the catalyst efficiency during the warm‐up period. The optimum fuzzy control with the best trade‐off among the optimisation criteria presented 19.72% fuel saving associated with 12.90% hydrocarbon, 29.20% carbon monoxide and 17.02% nitrogen oxides emissions reduction and an acceleration performance improvement when compared to a standard gear shifting procedure for a manual controlled gearbox. Moreover, the optimised fuzzy gear shifting control, improves the relationship between fuel consumption and emissions significantly, when compared to another optimum AMT control based on speed limits only.