Abstract
This Chapter presents the design and validation results of ECU-oriented models for \(\lambda \)-1 and \(\text {NO}_{\text {x}}\) prediction. The first is just based on the calculation of the fuel-to-air ratio by the injected fuel mass flow and the air mass flow signals from the ECU while the second is based on a nominal set-point relative fitting of the \(\text {NO}_{\text {x}}\) with a series of corrections for accounting with variations on \(\lambda \)-1, temperatures and other signals. The \(\text {NO}_{\text {x}}\) model combines look-up tables with physical-based equations and is designed for being implemented on commercial ECUs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
If \(p^*_{boost}\) set-point is increased for a constant air mass flow (\(\dot{m}_{a}\)) set-point, then \(u_{egr}\) will be opened and more \(\dot{m}_{egr}\) will enter the cylinder (consequently \(\dot{m}_{int}\) will be higher), producing that \(\mathrm{{NO}}_\mathrm{{x}}\) should be lower. This effect might be shifted if \(u_{egr}\) is already opened, especially at low load and regime areas, or engine is running out of the EGR area.
- 2.
Moisture increases the air specific heat \(c_p\), diminishing in-cylinder temperature \(T_{cyl}\).
References
Andersson M (2006) Fast \({\rm {NO}}_{\rm {x}}\) prediction in diesel engines. PhD thesis, Lund University
Andersson M, Hultqvist A, Johansson B, Nöhre C (2006) Fast physical \({\rm {NO}}_{\rm {x}}\) prediction in diesel engines. In: The diesel engine: the low CO\(_2\) and emissions reduction challenge (conference proceedings), Lyon
Arrègle, J, López JJ, Guardiola C, Monin C (2008) Sensitivity study of a \({\rm {NO}}_{\rm {x}}\) estimation model for on-board applications. SAE tecnhical report 2008-01-0640
Arrègle J, López JJ, Guardiola C, Monin C (2010) On board \({\rm {NO}}_{\rm {x}}\) prediction in diesel engines: a physical approach. In: del Re L et al (eds) Automotive model predictive control: models, methods and applications. Springer, Berlin. ISBN-1849960704
Arsie I, Di Leo R, Pianese C, De Cesare M (2012) Combustion noise and pollutants prediction for injection pattern and EGR tuning in an automotive common-rail diesel engine. In: ECOSM 2012 workshop on engine and powertrain control, simulation and modeling
Broatch A, Luján JM, Serrano JR, Pla B (2008) A procedure to reduce pollutant gases from diesel combustion during European MVEG-A cycle by using electrical intake air-heaters. Fuel 87(12):2760–2778
Deng J, Stobart R, Liu C, Winward E (2012) Explicit model predictive control of the diesel engine fuel path. SAE technical paper 2012-01-0893
Desantes JM, Galindo J, Guardiola C, Dolz V (2010) Air mass flow estimation in turbocharged diesel engines from in-cylinder pressure measurement. Exp Thermal Fluid Sci 34(1):37–47
Finesso R, Spessa E (2012) Real-time predictive modeling of combustion and \({\rm {NO}}_{\rm {x}}\) formation in diesel engines under transient conditions. SAE technical paper 2012-01-0899
Galindo J, Climent H, Guardiola C, Doménech J (2009) Strategies for improving the mode transition in a sequential parallel turbocharged automotive diesel engine. Int J Autom Technol 10(2):141–149
Guardiola C, Pla B, Blanco-Rodriguez D, Mazer A, Hayat O (2013) A bias correction method for fast fuel-to-air ratio estimation in diesel engines. Proc Inst Mech Eng Part D J Automob Eng 227(8):1099–1111
Lee J, Lee S, Park W, Min K, Song HH, Choi H, Yu J, Cho SH (2013) The development of real-time \({\rm {NO}}_{\rm {x}}\) estimation model and its application. SAE technical paper 2013-04-08
Luján JM, Galindo J, Serrano JR, Pla B (2008) A methodology to identify the intake charge cylinder-to-cylinder distribution in turbocharged direct injection diesel engines. Measur Sci Technol 19(6):065401
Macián V, Luján JM, Guardiola C, Perles A (2006a) A comparison of different methods for fuel delivery unevenness detection in diesel engines. Mech Syst Sig Process 20(8):2219–2231
Macián V, Luján JM, Guardiola C, Yuste P (2006b) DFT-based controller for fuel injection unevenness correction in turbocharged diesel engines. IEEE Trans Control Syst Technol 14(5):819–827
Payri F, Guardiola C, Blanco-Rodriguez D, Mazer A, Cornette A (2012a) Methodology for design and calibration of a drift compensation method for fuel-to-air tatio estimation. SAE technical paper 2012-01-0717
Payri F, Guardiola C, Pla B, Blanco-Rodriguez D, Mazer A, Cornette A (2012b) Fast estimation of fuel-to-air ratio through the combination of a fast model and an exhaust lambda sensor. In: SIA 2012 international conference
Payri F, Luján JM, Guardiola C, Rizzoni G (2006) Injection diagnosis through common-rail pressure measurement. Proc Inst Mech Eng Part D J Automob Eng 220(3):347–357
Wahlström J, Eriksson L (2011) Modelling diesel engines with a variable-geometry turbocharger and exhaust gas recirculation by optimization of model parameters for capturing non-linear system dynamics. Proc Inst Mech Eng Part D J Automob Eng 225(7):960–986
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Blanco-Rodriguez, D. (2014). Control Models for Engine-Out \(\mathrm{{NO}}_\mathrm{{x}}\) and \(\lambda ^{-1}\) . In: Modelling and Observation of Exhaust Gas Concentrations for Diesel Engine Control. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-06737-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-06737-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06736-0
Online ISBN: 978-3-319-06737-7
eBook Packages: EnergyEnergy (R0)