Combined steady state and transient optimization for dynamic smoke reduction on Heavy Duty engine (TIER3 Applications)

Castagna, Edvige; Cottrell, John S.; Fino, Debora; Saracco, Guido

doi:10.4271/2007-24-0055

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Some researchers including the author have attempted to reduce transient emissions by developing or using model based transient optimization processes [11,12,13,14,15,16,17,18]. Filipi et al have examined the effect of VGT's on transient PM spikes [19], examined transient PM relative to quasi-static emissions [20] and made cycle resolved measurements of in-cylinder constituents during transients [21].…”

Section: Introductionmentioning

confidence: 98%

Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control

Brahma

2012

SAE Int. J. Engines

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Decision trees have been proposed as a basis for modifying table based injection to reduce transient particulate spikes during the turbocharger lag period. It has been shown that decision trees can detect particulate spikes in real time. In well calibrated electronically controlled diesel engines these spikes are narrow and are encompassed by a wider NO x spike. Decision trees have been shown to pinpoint the exact location of measured opacity spikes in real time thus enabling targeted PM reduction with near zero NO x penalty. A calibrated dimensional model has been used to demonstrate the possible reduction of particulate matter with targeted injection pressure pulses. Post injection strategy optimized for near stoichiometric combustion has been shown to provide additional benefits. Empirical models have been used to calculate emission tradeoffs over the entire FTP cycle. An empirical model based transient calibration has been used to demonstrate that such targeted transient modifiers are more beneficial at lower engine-out NO x levels.

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Section: Introductionmentioning

confidence: 98%

Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control

Brahma

2012

SAE Int. J. Engines

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“…Most transient optimization work reported in the literature, however, such as that by Benz et al [4], addresses short transient segments rather than entire cycles, while some, such as that by Malikopoulos et al [12,13], are futuristic adaptive schemes that are beyond the current scope of ECMs or measurement systems. Atkinson et al [5] and Castagna et al [14] have not reported the particulars of their optimization scheme. The latter has used a commercial product 'AVL Cameo' to do an adaptive online design of experiments (DOE) on ECM parameters.…”

Section: Introductionmentioning

confidence: 98%

“…[5] and Castagna et al . [14] have not reported the particulars of their optimization scheme. The latter has used a commercial product ‘AVL Cameo’ to do an adaptive online design of experiments (DOE) on ECM parameters.…”

Section: Introductionmentioning

confidence: 99%

Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 2: modelling and optimization

Brahma

Chi

2011

International Journal of Engine Research

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This is the second part of a study investigating a model-based transient calibration process for diesel engines. The first part addressed the data requirements and data processing required for empirical transient emission and torque models. The current work focuses on modelling and optimization. The unexpected result of this investigation is that when trained on transient data, simple regression models perform better than more powerful methods such as neural networks or localized regression. This result has been attributed to extrapolation over data that have estimated rather than measured transient air-handling parameters. The challenges of detecting and preventing extrapolation using statistical methods that work well with steady-state data have been explained. The concept of constraining the distribution of statistical leverage relative to the distribution of the starting solution to prevent extrapolation during the optimization process has been proposed and demonstrated. Separate from the issue of extrapolation is preventing the search from being quasi-static. Second-order linear dynamic constraint models have been proposed to prevent the search from returning solutions that are feasible if each point were run at steady state, but which are unrealistic in a transient sense. Dynamic constraint models translate commanded parameters to actually achieved parameters that then feed into the transient emission and torque models. Combined model inaccuracies have been used to adjust the optimized solutions. To frame the optimization problem within reasonable dimensionality, the coefficients of commanded surfaces that approximate engine tables are adjusted during search iterations, each of which involves simulating the entire transient cycle. The resulting strategy, different from the corresponding manual calibration strategy and resulting in lower emissions and efficiency, is intended to improve rather than replace the manual calibration process.

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Multiple tier 3 engine applications based on global modelling

Castagna¹,

Biondo²,

Cottrell³

et al. 2007

MTZ Worldw

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Combined steady state and transient optimization for dynamic smoke reduction on Heavy Duty engine (TIER3 Applications)

Cited by 3 publications

References 3 publications

Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control

Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control

Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 2: modelling and optimization

Multiple tier 3 engine applications based on global modelling

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