Multi-Cylinder Adaptation of In-Cycle Predictive Combustion Models Scania CV AB

Format:

Book

Conference/Event

Author/Creator:

Jorques Moreno, Carlos, author.

Contributor:

Stenlaas, Ola

Tunestal, Per

Conference Name:

SAE Powertrains, Fuels & Lubricants Meeting (2020-09-22 : Krakow, Poland)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

Adaptation of predictive combustion models for their use in in-cycle close-loop combustion control of a multi-cylinder engine are 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 nominal operation 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 adaptation methods: the pilot's injection 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. An extended 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 extension 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 their Taylor's expansion was study.The methods were tested from experimental data obtained in a Scania D13 six-cylinder heavy-duty engine run with conventional diesel, rape-seed methyl-ester (RME) and hydrogenated vegetable oil (HVO). The adaptation of the models proved to significantly improve the prediction accuracy for each of the cylinders. The linear adaptation schemes resulted in a similar accuracy as the non-linear formulation. In the same manner, the accuracy of the extended multi-cylinder adaptation confirmed the validity of this approach whilst reducing the total number of parameters. The results supported the multi-cylinder method as the most robust against measurement errors. The linearized model error was under the measurement accuracy with at least a 10% tolerance on the linearization point error. The small sensitivity confirms the applicability of this approach for in in-cycle closed-loop control algorithms

Notes:

Vendor supplied data

Publisher Number:

2020-01-2087

Access Restriction:

Restricted for use by site license