Adaptive calibration of Diesel engine injection for minimising fuel consumption with constrained NOx emissions in actual driving missions. (June 2021)

• Record Type: Journal Article
• Authors: Manuel Luján, José; Pla, Benjamín; Bares, Pau; Pandey, Varun
• Is Part Of: International journal of engine research. Volume 22:Number 6(2021)
• Page Start: 1896
• Page End: 1905
• Publication Date: 2021-06
• Subjects: Diesel engine online calibration -- adaptive calibration -- fuel consumption minimisation -- constrained NOx emissions -- online optimisation; Engines -- Periodicals; 629.25
• DOI: 10.1177/1468087420918800
• Languages: English
• ISSNs: 1468-0874

Abstract

This article proposes a method for fuel minimisation of a Diesel engine with constrainedN O x emission in actual driving mission. Specifically, the methodology involves three developments: The first is a driving cycle prediction tool which is based on the space-variant transition probability matrix obtained from an actual vehicle speed dataset. Then, a vehicle and an engine model is developed to predict the engine performance depending on the calibration for the estimated driving cycle. Finally, a controller is proposed which adapts the start-of-injection calibration map to fulfil theN O x emission constraint while minimising the fuel consumption. The calibration is adapted during a predefined time window based on the predicted engine performance on the estimated cycle and the difference between the actual and the constraint on engineN O x emissions. The method assessment was done experimentally in the engine test set-up. The engine performace using the method is compared with the state-of-the-art static calibration method for differentN O x emission limits on real driving cycles. The online implementation of the method shows that the fuel consumption can be reduced by 3%–4% while staying within the emission limits, indicating that the estimation method is able to capture the main driving cycle characterstics.