TY - JOUR
T1 - Modelling and estimation of combustion variability for fast light-off of diesel aftertreatment
AU - Maldonado, Bryan P.
AU - Bieniek, Mitchell
AU - Hoard, John
AU - Stefanopoulou, Anna G.
AU - Fulton, Brien
AU - Van Nieuwstadt, Michiel
N1 - Publisher Copyright:
Copyright © 2020 Inderscience Enterprises Ltd.
PY - 2020
Y1 - 2020
N2 - Combustion phasing retard is commonly used on diesel engines to achieve faster aftertreatment light-off and lower tailpipe emissions. Aggressive combustion phasing retard can achieve higher exhaust gas enthalpy at the cost of increased combustion variability, which can create vehicle noise, vibration, and harshness (NVH) issues. To avoid such issues while maximising exhaust heating, feedback from cylinder pressure sensors can be used to control the coefficient of variation of the indicated mean effective pressure (CoVIMEP) to a maximum allowable value. Therefore, a control-oriented combustion model that captures the stochastic properties of the cycle-to-cycle variability for IMEP has been developed for control design. Unbiased estimation methods for the CoVIMEP using finite impulse response (FIR) and infinite impulse response (IIR) filters are discussed. Finally, the performance of the estimation strategy is tested during an engine warm-up phase to show that it is a suitable alternative for generating a feedback signal for control.
AB - Combustion phasing retard is commonly used on diesel engines to achieve faster aftertreatment light-off and lower tailpipe emissions. Aggressive combustion phasing retard can achieve higher exhaust gas enthalpy at the cost of increased combustion variability, which can create vehicle noise, vibration, and harshness (NVH) issues. To avoid such issues while maximising exhaust heating, feedback from cylinder pressure sensors can be used to control the coefficient of variation of the indicated mean effective pressure (CoVIMEP) to a maximum allowable value. Therefore, a control-oriented combustion model that captures the stochastic properties of the cycle-to-cycle variability for IMEP has been developed for control design. Unbiased estimation methods for the CoVIMEP using finite impulse response (FIR) and infinite impulse response (IIR) filters are discussed. Finally, the performance of the estimation strategy is tested during an engine warm-up phase to show that it is a suitable alternative for generating a feedback signal for control.
KW - Aftertreatment light-off
KW - CoV
KW - Coefficient of variation
KW - Cycle-to-cycle combustion variability model
KW - Estimation
KW - Filtering
KW - Stochastic systems
UR - http://www.scopus.com/inward/record.url?scp=85092741628&partnerID=8YFLogxK
U2 - 10.1504/IJPT.2020.108423
DO - 10.1504/IJPT.2020.108423
M3 - Article
AN - SCOPUS:85092741628
SN - 1742-4267
VL - 9
SP - 98
EP - 121
JO - International Journal of Powertrains
JF - International Journal of Powertrains
IS - 1-2
ER -