This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Calibration Optimization of a Heavy-Duty Diesel Engine with GTL Diesel Fuel
Technical Paper
2016-01-0622
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
A project has been undertaken to optimize the engine control software calibration of a modern heavy-duty diesel engine for operation with gas-to-liquids (GTL) diesel fuel, with the objective of developing an understanding of the scope for optimization with this fuel, which has different physical and combustion properties to that of conventional, crude-derived diesel. A data-driven, model-based calibration technique utilizing artificial neural networks was used to develop optimized transient and steady-state calibrations with both conventional diesel fuel, as well as neat GTL fuel. The engine control parameters that were optimized were injection timing, exhaust gas recirculation rate, rail pressure, and charge mass. The optimization aimed to minimize fuel consumption without deterioration in engine-out nitrogen oxide (NOx) and soot emissions. This paper reports on the calibration optimization methodology employed and the results achieved to date. These indicate that fuel efficiency can be improved by up to 3% with an optimized GTL calibration over a transient test cycle, and 2% over a steady-state test cycle, when compared to a conventional diesel fuel and the baseline engine calibration. Smaller efficiency improvements were also obtained with calibration optimization using the conventional diesel fuel. Efficiency improvements were primarily the result of reduced pumping losses which were enabled through reductions in the required charge mass. The resultant increase in soot emissions were offset by the lower inherent soot emissions of the GTL fuel. It was also found that the GTL fuel offers significantly greater scope for decreasing engine-out NOx emissions through optimization without compromising engine efficiency or soot emissions, than the conventional diesel fuel.
Recommended Content
Authors
Topic
Citation
Schaberg, P. and Atkinson, C., "Calibration Optimization of a Heavy-Duty Diesel Engine with GTL Diesel Fuel," SAE Technical Paper 2016-01-0622, 2016, https://doi.org/10.4271/2016-01-0622.Also In
References
- Schaberg , P. , Myburgh , I. , Botha , J. , Roets , P. et al. Diesel Exhaust Emissions Using Sasol Slurry Phase Distillate Process Fuels SAE Technical Paper 972898 1997 10.4271/972898
- Martin , B. , Aakko , P. , Beckman , D. , Del Giacomo , N. et al. Influence of Future Fuel Formulations on Diesel Engine Emissions - A Joint European Study SAE Technical Paper 972966 1997 10.4271/972966
- Norton , P. , Vertin , K. , Bailey , B. , Clark , N. et al. Emissions from Trucks using Fischer-Tropsch Diesel Fuel SAE Technical Paper 982526 1998 10.4271/982526
- May , M. , Vertin , K. , Ren , S. , Gui , X. et al. Development of Truck Engine Technologies for Use with Fischer-Tropsch Fuels SAE Technical Paper 2001-01-3520 2001 10.4271/2001-01-3520
- Alleman , T. , Tennant , C. , Hayes , R. , Miyasato , M. et al. Achievement of Low Emissions by Engine Modification to Utilize Gas-to-Liquid Fuel and Advanced Emission Controls on a Class 8 Truck SAE Technical Paper 2005-01-3766 2005 10.4271/2005-01-3766
- Schaberg , P. , Botha , J. , Schnell , M. , Hermann , H. et al. Emissions Performance of GTL Diesel Fuel and Blends with Optimized Engine Calibrations SAE Technical Paper 2005-01-2187 2005 10.4271/2005-01-2187
- Schaberg , P. , Botha , J. , Schnell , M. , Herrmann , H. et al. HSDI Diesel Engine Optimisation for GTL Diesel Fuel SAE Technical Paper 2007-01-0027 2007 10.4271/2007-01-0027
- Kind , M. , Kolbeck , A. , Lamping , M. , Liebig , D. et al. Dedicated GTL Vehicle: A Calibration Optimization Study SAE Int. J. Fuels Lubr. 3 1 321 333 2010 10.4271/2010-01-0737
- Nishiumi , R. , Nakajima , T. , Kitano , K. , Sakata , I. et al. Improvement of DI Diesel Engine System by Utilizing GTL Fuels Characteristics SAE Technical Paper 2009-01-1933 2009 10.4271/2009-01-1933
- Uchida , N. , Sakata , I. , Kitano , K. , Okabe , N. et al. Simultaneous improvement in both exhaust emissions and fuel consumption by means of Fischer-Tropsch diesel fuels Int J. Engine Research 15 1 20 36 2014
- Röpke , K. , Gaitzsch , R. , Haukap , C. , Knaak et al DoE - Design of Experiments, Methods and Applications in Engine Development Verlag Moderne Industrie 2005
- Brahma , I. and Chi , J.N. Development of a model-based transient calibration process for diesel engine electronic control module tables - Part 1: data requirements, processing and analysis Int J. Engine Research 13 1 77 96 2012
- Brahma , I. and Chi , J.N. Development of a model-based transient calibration process for diesel engine electronic control module tables - Part 2: modelling and optimization Int J. Engine Research 13 2 147 169 2012
- Isermann , R. and Munchhof , M. Identification of Dynamic Systems Springer-Verlag 2011
- Norgaard , M. , Ravn , O. , Poulsen N.K. , and Hansen , L.K. Neural Networks for Modelling and Control of Dynamic Systems Springer-Verlag 2000
- Atkinson , C. , Allain , M. , and Zhang , H. Using Model-Based Rapid Transient Calibration to Reduce Fuel Consumption and Emissions in Diesel Engines SAE Technical Paper 2008-01-1365 2008 10.4271/2008-01-1365
- Atkinson , C. and Mott , G. Dynamic Model-Based Calibration Optimization: An Introduction and Application to Diesel Engines SAE Technical Paper 2005-01-0026 2005 10.4271/2005-01-0026
- Schaberg , P. and Bell , A. Comprehensive Evaluation of Exhaust Emissions with Diesel Fuel from a Commercial Scale Gas-to-Liquids Plant SAE Int. J. Fuels Lubr. 3 2 175 195 2010 10.4271/2010-01-1512
- Atkinson , C. Fuel Efficiency Optimization using Rapid Transient Engine Calibration SAE Technical Paper 2014-01-2359 2014 10.4271/2014-01-2359
- Atkinson , C. , Allain , M. , Kalish , Y. , and Zhang , H. Model-Based Control of Diesel Engines for Fuel Efficiency Optimization SAE Technical Paper 2009-01-0727 2009 10.4271/2009-01-0727
- Brahma , I. Development of Dynamic Constraint Models for a Model Based Transient Calibration Process SAE Int. J. Engines 4 1 828 836 2011 10.4271/2011-01-0691
- California Air Resources Board Draft Technology Assessment: Lower NOx Heavy-Duty Diesel Engines September 2015