A Combined Physical / Neural Approach for Real-Time Models of Losses in Combustion Engines

Wilhelm, Christian; Winsel, Thomas; Ayeb, Mohamed; Theuerkauf, H. J.; Brandt, S. Anders; Busche, Elmar; Longo, Claudio Santo; Knoll, Gunter

doi:10.4271/2007-01-1345

Cited by 2 publications

(1 citation statement)

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“…The concept of model based engine calibration is not a new field of study [30,69]; however, it has received more attention recently for the above stated reasons. Some of the models rely heavily on experimental data and statistical inference, some rely on a semi-empirical model, [20,21,49] and some are based on experimental data and statistical inference for training a neural network based model [22]. The ultimate aim of these models is to predict the injection quantity for achieving the required torque output from the engine and emission levels, since this torque value determines the effort required to drive the vehicle at a desired vehicle speed.…”

Section: Introductionmentioning

confidence: 99%

Implementation of EOQ and Lambert W function in 1-D engine simulation model for optimizing fuel injection in GDI engine

Santirso

Samuel

2019

Applied Mathematical Modelling

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The aim of this study was to implement Economic Order Quantity method (EOQ) together with the Lambert W function in a 1-D engine simulation model in order to develop a fuel control strategy for a Gasoline direct injection (GDI) engine. Previous work of the co-author demonstrated the possibility of optimizing fuel injection quantity in GDI engine using the EOQ that is commonly used in supply chain of perishable products. This work extends the previous work and implements it in a 1-D, crank angle resolved, engine simulation model for the application of model based calibration process. The present work uses a validated engine simulation model, which is based on predictive combustion modelling approach, and couples the 1-D engine simulation model with SIMULINK to add the evaporation, wall-wetting and heat transfer models. It employs FORTRAN subroutines to modify the internal code of the 1-D simulation software in order to add crank angle resolved evaporation model. Finally, EOQ with Lambert W function was added to the model using MATLAB with special attention to the decimal control for the solution. This study demonstrated that EOQ and Lambert W functions together are a suitable method to develop fuel control strategy for a model based calibration procedure when implemented in crank angle resolved 1-D simulation model.

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