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Combined steady state and transient optimization for dynamic smoke reduction on Heavy Duty engine (TIER3 Applications)
Technical Paper
2007-24-0055
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper describes a methodology to investigate the whole set of engine performance requested by off-road vehicles in order to define many sub-ratings with different speed and load ranges:
- DoE screening for parameter range evaluation on the whole map
- DoE with Map border lines
- Boundary conditions to get reliable test results
- Raw data plausibility
- Modeling based on torque / injected quantity
- Optimization (TIER3 calibrations) and Verifications
- Development decisions / Map calculations
The method has been tested on real case: NEF 6 cylinder Common Rail aftercooled engine with internal EGR and free floating turbocharger where also the intake manifold temperature is a DoE parameter able to simulate different customer cooler solutions.
Particular attention has been dedicated to the prediction of fuel consumption as well as NOx, HC and smoke emissions. A “zone” approach (a technique to differentiate most likely steady state regions from transient ones) has been implemented to study in deep detail the emissions control speed ranges vs rated power and peak torque.
The Global model was demonstrated to be a powerful tool to define multiple ratings from one DoE plan and to allow subsequent optimisation based on customer engine mission data (datalogged directly from the field) without further testing activity. The correlation to end customer data was remarkably good.
The method is currently under further development to take into consideration transient effects for typical off-highway working cycles.
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Authors
- Edvige Castagna - FIAT POWERTRAIN TECHNOLOGIES S.p.A., Strada delle cascinette 424/34, 10156, Torino, Italia
- John Cottrell - FIAT POWERTRAIN TECHNOLOGIES S.p.A., Strada delle cascinette 424/34, 10156, Torino, Italia
- Debora Fino - Materials Science and Chemical Engineering Department, POLITECNICO di TORINO, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
- Guido Saracco - Materials Science and Chemical Engineering Department, POLITECNICO di TORINO, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
Topic
Citation
Castagna, E., Cottrell, J., Fino, D., and Saracco, G., "Combined steady state and transient optimization for dynamic smoke reduction on Heavy Duty engine (TIER3 Applications)," SAE Technical Paper 2007-24-0055, 2007, https://doi.org/10.4271/2007-24-0055.Also In
References
- Gschweitl K. Pfluegl H. Fortuna T. Leithgoeb R. Steigerung der Effizienz in der modellbasierten Motorenapplikation durch die neue CAMEO Online DoE-Toolbox ATZ 7-8/2001
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- Neaves B. Gruaz J. Heindl A. Koegeler H.-M. Method Development and Application of Particulate Filter Regeneration Calibration, IMechE 12/2004
- Castagna, Biondo Cottrell, Altenstrasser Beidl, Koegeler Schuch Multiple Tier 3 Engine Applications based on global modelling, MTZ 6/2007
- Keuth N. Pflügl H. Intelligente Neuronale Netze (INN) - ein neues mathematisches Modell für die globale modellbasierte Optimierung von Verbrennungsmotoren und Antriebsstrang Intelligent Neuronal Networks (INN) - a New Modeling Approach for the Global Model Based Optimization of Combustion Engines and Powertrain Conference: DoE in Engine Development Berlin 5 2007