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Calculation of Intake Oxygen Concentration through Intake CO 2 Measurement and Evaluation of Its Effect on Nitrogen Oxide Prediction Accuracy in a Heavy-Duty Diesel Engine

Author

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  • Roberto Finesso

    (Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Omar Marello

    (Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

Abstract

A new procedure, based on measurement of intake CO 2 concentration and ambient humidity was developed and assessed in this study for different diesel engines in order to evaluate the oxygen concentration in the intake manifold. Steady-state and transient datasets were used for this purpose. The method is very fast to implement since it does not require any tuning procedure and it involves just one engine-related input quantity. Moreover, its accuracy is very high since it was found that the absolute error between the measured and predicted intake O 2 levels is in the ±0.15% range. The method was applied to verify the performance of a previously developed NOx model under transient operating conditions. This model had previously been adopted by the authors during the IMPERIUM H2020 EU project to set up a model-based controller for a heavy-duty diesel engine. The performance of the NOx model was evaluated considering two cases in which the intake O 2 concentration is either derived from engine-control unit sub-models or from the newly developed method. It was found that a significant improvement in NOx model accuracy is obtained in the latter case, and this allowed the previously developed NOx model to be further validated under transient operating conditions.

Suggested Citation

  • Roberto Finesso & Omar Marello, 2022. "Calculation of Intake Oxygen Concentration through Intake CO 2 Measurement and Evaluation of Its Effect on Nitrogen Oxide Prediction Accuracy in a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 15(1), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:1:p:342-:d:717390
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    References listed on IDEAS

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    1. Armin Norouzi & Hamed Heidarifar & Mahdi Shahbakhti & Charles Robert Koch & Hoseinali Borhan, 2021. "Model Predictive Control of Internal Combustion Engines: A Review and Future Directions," Energies, MDPI, vol. 14(19), pages 1-40, October.
    2. Jinghua Zhao & Yunfeng Hu & Fangxi Xie & Xiaoping Li & Yao Sun & Hongyu Sun & Xun Gong, 2021. "Modeling and Integrated Optimization of Power Split and Exhaust Thermal Management on Diesel Hybrid Electric Vehicles," Energies, MDPI, vol. 14(22), pages 1-22, November.
    3. Hu Wang & Xin Zhong & Tianyu Ma & Zunqing Zheng & Mingfa Yao, 2020. "Model Based Control Method for Diesel Engine Combustion," Energies, MDPI, vol. 13(22), pages 1-13, November.
    4. Yutao Chen & Nazar Rozkvas & Mircea Lazar, 2020. "Driving Mode Optimization for Hybrid Trucks Using Road and Traffic Preview Data," Energies, MDPI, vol. 13(20), pages 1-18, October.
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    Cited by:

    1. Alessandro Falai & Daniela Anna Misul, 2023. "Data-Driven Model for Real-Time Estimation of NOx in a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 16(5), pages 1-17, February.

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