DocumentCode
158244
Title
Carbon canister air fuel ratio estimation on high performance engine
Author
Corvino, Christian ; Oliva, Alfonso ; Zanasi, Roberto
Author_Institution
Engine Controls Dept., Automobili Lamborghini SpA, Sant´Agata Bolognese, Italy
fYear
2014
fDate
16-19 June 2014
Firstpage
30
Lastpage
36
Abstract
The increasingly stringent vehicle emission constraints press on the car manufacturers to decrease in hydrocarbons quantities from evaporative emission system. Activated carbon canister has been used for 30 years to capture the gasoline vapors from fuel evaporative system whose most of vehicles are equipped. The newer amendments on Low-Emission Vehicle programs, known as LEV-II, recently adopted by CARB (California Air Resources Board), impose on the vehicles to be Zero Emission Vehicles (ZEV or battery electric vehicles) and that the carbon canister has to be purged frequently: this can cause poor quality idle condition and exhaust emission levels increase as well. The article describes an input high gain observer algorithm to estimate the canister air/fuel mixture in order to improve both idle speed engine roughness and fuel evaporative emissions. Furthermore system identification of Air-to-Fuel Ratio (AFR) has been used for observer performance simulations.
Keywords
activated carbon; air pollution; battery powered vehicles; fuel economy; internal combustion engines; mixtures; CARB; California Air Resources Board; LEV-II; ZEV; activated carbon canister; air-to-fuel ratio; battery electric vehicles; canister air-fuel mixture; car manufacturers; evaporative emission system; exhaust emission levels; fuel evaporative emissions; fuel evaporative system; gasoline vapors; hydrocarbon quantities; idle speed engine roughness; input high gain observer algorithm; low-emission vehicle programs; observer performance simulation; vehicle emission constraints; zero emission vehicles; Carbon dioxide; Engines; Fuels; Mathematical model; Observers; Valves; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location
Palermo
Print_ISBN
978-1-4799-5900-6
Type
conf
DOI
10.1109/MED.2014.6961322
Filename
6961322
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