This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Multi-Cylinder Adaptation of In-Cycle Predictive Combustion Models
ISSN: 0148-7191, e-ISSN: 2688-3627
Published September 15, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Adaptation of predictive combustion models for their use in in-cycle closed-loop combustion control of a multi-cylinder engine is studied in this article. Closed-loop combustion control can adjust the operation of the engine closer to the optimal point despite production tolerances, component variations, normal disturbances, ageing or fuel type. In the fastest loop, in-cycle closed-loop combustion control was proved to reduce normal variations around the operational point to increase the efficiency. However, these algorithms require highly accurate predictive models, whilst having low complexity for their implementation.
Three models were used to exemplify the proposed adaptation methods: the pilot injection’s ignition delay, the pilot burned mass, and the main injection’s ignition delay. Different approaches for the adaptation of the models are studied to obtain the demanded accuracy under the implementation constraints. Non-linear adaptation techniques are necessary for the proposed models. This was compared to a linear formulation that reduced the complexity. A reduced multi-cylinder approach is presented as a method to reduce the total number of parameters while preserving the accuracy. A method to select the parameter for the reduction is also proposed. The sensitivity of the models and the robustness of the algorithms was studied. To reduce the complexity of the model implementation, the performance of Taylor’s expansions was studied.
The methods were tested from experimental data obtained from a Scania D13 six-cylinder heavy-duty engine run with conventional diesel, rape methyl-ester (RME), and hydrotreated vegetable oil (HVO). The adaptation of the models proved to significantly improve the prediction accuracy for each of the cylinders. The average bias error is eliminated whilst the total error dispersion was halved. The results validated the reduced multi-cylinder adaptation as a method to reduce the total number of parameters and have similar prediction accuracy. Furthermore, the multi-cylinder adaptation was the most robust against measurement errors. For the ignition delay models, the sensitivity to the nominal point of linearization was under the required prediction accuracy for the in-cycle closed-loop control algorithms i.e. under the detection accuracy of 0.2CAD.
CitationJorques Moreno, C., Stenlaas, O., and Tunestal, P., "Multi-Cylinder Adaptation of In-Cycle Predictive Combustion Models," SAE Technical Paper 2020-01-2087, 2020, https://doi.org/10.4271/2020-01-2087.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
- Willems, F., “Is Cylinder Pressure-Based Control Required to Meet Future HD Legislation?” IFAC-PapersOnLine 51:111-118, 2018.
- Quirin, M., Grtner, S., Pehnt, M., and Reinhart, G., Mitigation through Biofuels in the Transport Sector, Main Rep., 2014.
- Kolbeck, A.F., “Closed Loop Combustion Control - Enabler of Future Refined Engine Performance Regarding Power, Efficiency, Emissions and NVH under Stringent Governmental Regulations,” SAE Technical Paper 2011-24-0171, 2011. https://doi.org/10.4271/2011-24-0171.
- Heywood, J.B., “Internal Combustion Engines Fundamentals,” 6th ed., McGraw Hill Education, New York, ISBN 0-07-100499-8, 1988.
- Jorques Moreno, C., Stenlåås, O., and Tunestål, P., “In-Cycle Closed-Loop Combustion Control with Pilot-Main Injections for Maximum Indicated Efficiency,” IFAC-PapersOnLine 51(31):92-98, 2018.
- Jorques Moreno, C., Stenlaas, O., Tunestal, P., Stenlåås, O., and Tunestål, P., “Cylinder Pressure based Virtual Sensor for In-Cycle Pilot Mass Estimation,” SAE Int. J. Engines 11(6):1167-1182, 2018, doi:10.4271/2018-01-1163.
- Muric, K., Stenlåås, O., Tunestål, P., and Johansson, B., “A Study on In-Cycle Control of NOx Using Injection Strategy with a Fast Cylinder Pressure Based Emission Model as Feedback,” SAE Technical Paper 2013-01-2603, 2013. https://doi.org/10.4271/2013-01-2603.
- Jorques Moreno, C., Stenlåås, O., and Tunestål, P., “In-Cycle Closed-Loop Combustion Controllability with Pilot-Main Injections,” Thiesel, 2018.
- Klein, M. and Eriksson, L., “Models, Methods and Performance When Estimating the Compression Ratio Based on the Cylinder Pressure.”
- Tunestål, P., “Estimation of the In-Cylinder Air/Fuel Ratio of an Internal Combustion Engine by the Use of Pressure Sensors,” Dep. Heat Power Eng. Lund Inst. Technol. 1025, 2001.
- Di Leo, R., “Methodologies for Air-Fuel ratio and Trapped Mass Estimation in Diesel Engines Using the In-Cylinder Pressure Measurement,” Energy Procedia 82(82):957-964, 2015, doi:10.1016/j.egypro.2015.11.850.
- Finesso, R., and Spessa, E., “A Control-Oriented Approach to Estimate the Injected Fuel Mass on the Basis of the Measured In-Cylinder Pressure in Multiple Injection Diesel Engines,” Energy Convers. Manag. 105:54-70, 2015, doi:10.1016/j.enconman.2015.07.053.
- Tschanz, F., Amstutz, A., Onder, C.H., and Guzzella, L., “Feedback Control of Particulate Matter and Nitrogen Oxide Emissions in Diesel Engines,” Control Eng. Pract., 2013, doi:10.1016/j.conengprac.2012.09.014.
- Johansson, R., System Modeling and Identification (Prentice Hall, 1993). ISBN:9780134823089.
- Daum, F.E., “Extended Kalman Filters,” . In: Encyclopedia of Systems and Control, (London, Springer, 2015), 411-413, doi:10.1007/978-1-4471-5058-9_62.
- Christopher Frey, H., and Patil, S.R., “Identification and Review of Sensitivity Analysis Methods,” Risk Anal. 22(3):553-578, 2002, doi:10.1111/0272-4332.00039.
- Carlos, J.M., Stenlaas, O., and Tunestal, P., “Cylinder Pressure Based Method for In-Cycle Pilot Misfire Detection,” 2019, doi:10.4271/2019-24-0017.
- Jorques Moreno, C., Stenlåås, O., and Tunestål, P., “Investigation of Small Pilot Combustion in a Heavy-Duty Diesel Engine,” SAE Int. J. Engines 10(3):2017-1-718, 2017, doi:10.4271/2017-01-0718.
- Finesso, R., and Spessa, E., “Ignition Delay Prediction of Multiple Injections in Diesel Engines,” Fuel 119:170-190, 2014, doi:10.1016/j.fuel.2013.11.040.
- Ingesson, G., Yin, L., Johansson, R., and Tunestål, P., “An Investigation on Ignition-Delay Modelling for Control,” Int. J. Powertrains 6(3):282, 2017, doi:10.1504/IJPT.2017.087895.