Title: Modelling and estimation of combustion variability for fast light-off of diesel aftertreatment

Authors: Bryan P. Maldonado; Mitchell Bieniek; John Hoard; Anna G. Stefanopoulou; Brien Fulton; Michiel Van Nieuwstadt

Addresses: Department of Mechanical Engineering, University of Michigan, 1231 Beal Ave. Ann Arbor, Michigan, USA ' Department of Mechanical Engineering, University of Michigan, 1231 Beal Ave. Ann Arbor, Michigan, USA ' Department of Mechanical Engineering, University of Michigan, 1231 Beal Ave. Ann Arbor, Michigan, USA ' Department of Mechanical Engineering, University of Michigan, 1231 Beal Ave. Ann Arbor, Michigan, USA ' Ford Motor Company, Dearborn, Michigan, USA ' Ford Motor Company, Dearborn, Michigan, USA

Abstract: 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 (CoV_IMEP) 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 CoV_IMEP 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.

Keywords: estimation; filtering; stochastic systems; cycle-to-cycle combustion variability model; aftertreatment light-off; coefficient of variation; CoV.

DOI: 10.1504/IJPT.2020.108423

International Journal of Powertrains, 2020 Vol.9 No.1/2, pp.98 - 121

Received: 07 Apr 2019
Accepted: 27 Sep 2019
Published online: 13 Jul 2020 *

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