A control-oriented model for cold start operation of spark ignition engines

Manzie, Chris; Keynejad, Farzad; Andrianov, Denis Igorevich; Dingli, Robert; Voice, Glen

doi:10.3182/20091130-3-fr-4008.00029

Cited by 5 publications

(8 citation statements)

References 16 publications

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“…This is an artefact of the slow time constant of the thermocouple (order 2-5 s is typical), although implementing a thermocouple model in the simulation will lead to very good correlation between the simulated and measured data (see e.g. Manzie et al, 2009).…”

Section: Validationmentioning

confidence: 98%

“…Initial progress at incorporating engine warm up into mean value type models for two different powertrains has been described in Manzie, Keynejad, Andrianov, Dingli, and Voice (2009) and Roeth and Guzzella (2010). This paper builds on these works by not only presenting a complete, validated MVEM with thermal dynamics and the influence of species concentrations (an important characteristic for emissions studies), but also includes validation over a drive cycle.…”

Section: Introductionmentioning

confidence: 99%

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Cold start modelling of spark ignition engines

Keynejad

Manzie

2011

Control Engineering Practice

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Section: Validationmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Cold start modelling of spark ignition engines

Keynejad

Manzie

2011

Control Engineering Practice

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“…To develop a control strategy aimed at reducing harmful emissions in the cold start phase, we need a suitable and controllable engine model in this phase. Several mean value and controllable models have been proposed to catch cold start operating condition by Farzad Keenezhad, Chris Manzi and their colleagues in [5][6][7]. These models have been presented for designing controllers to improve emissions, fuel consumption and performance of cold start condition.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Fuzzy-Threshold Control of SI Engine for Emission Reduction during Cold Start Phase

Khalilikhah

Shalchian

2019

IJAME

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We present a controllable model of an internal combustion engine that captures the overlapping of the cylinder valves as a controllable parameter and its effect on engine efficiency and EGR rates. The model parameters have been calibrated for the EF7 engine and validated with experimental data. This model successfully estimates the performance and HC and NOx emissions concentration of the engine under cold start operating condition. A model-based fuzzy-threshold control strategy has been proposed in cold start operating condition. This strategy uses the overlapping angle of the cylinder inlet and outlet valves as an extra degree of freedom in comparison to the regular PID strategy in order to accelerate the warm-up duration the catalyst converter while reduces the exhaust harmful emissions during the warm-up phase. The proposed controller model has been verified in MATLAB Simulink environment and simulation results indicates 8.6% reduction of the start-up time of the catalyst converter and reduction of 3.5%, 8.5% and 7% of HC, NO and fuel consumption respectively during the catalyst warm-up phase.

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“…With this in mind, recently there have been significant developments in mean value engine models that encompass a thermal aspect, as discussed in Roeth and Guzzella (2010); Manzie et al (2009) and Keynejad and Manzie (2010*). The existence of these models allows optimal control techniques to be employed for engine calibration over cold start conditions, which is useful for several reasons -firstly, experimental calibration over the cold start region is extremely slow due to temperature soaks limiting testing to often three cold starts per day; secondly, the increased dimensionality of the problem when temperature is included in the steady state maps used in calibration (a problem that is exacerbated by the increased functionality of modern engines in terms of numbers of actuators); and thirdly, there are conflicting objectives associated with engine cold start which arise from the desire to minimise fuel consumption, but also the need for sufficient thermal performance to ensure catalyst light-off and provide heat to the cabin.…”

Section: Introductionmentioning

confidence: 99%