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Modeling and Validation of a Diesel Engine with Turbocharger for Hardware-in-the-Loop Applications

Author

Listed:
  • Jinguan Yin

    (College of Mechatronic Engineering, North University of China, Taiyuan 030051, China)

  • Tiexiong Su

    (College of Mechatronic Engineering, North University of China, Taiyuan 030051, China)

  • Zhuowei Guan

    (China North Engine Research Institute, Tianjin 300400, China)

  • Quanhong Chu

    (China North Engine Research Institute, Tianjin 300400, China)

  • Changjiang Meng

    (China North Engine Research Institute, Tianjin 300400, China)

  • Li Jia

    (China North Engine Research Institute, Tianjin 300400, China)

  • Jun Wang

    (College of Mechatronic Engineering, North University of China, Taiyuan 030051, China)

  • Yangang Zhang

    (College of Mechatronic Engineering, North University of China, Taiyuan 030051, China)

Abstract

This paper presents a simulator model of a diesel engine with a turbocharger for hardware-in-the-loop (HIL) applications, which is used to obtain engine performance data to study the engine performance under faulty conditions, to assist engineers in diagnosis and estimation, and to assist engineers in model-based calibration (MBC). The whole diesel engine system is divided into several functional blocks: air block, injection block, cylinder block, crankshaft block, cooling block, lubrication block, and accessory block. The diesel engine model is based on physical level, semi-physical level and mathematical level concepts, and developed by Matlab/Simulink. All the model parameters are estimated using weighted least-squares optimization and the tuning process details are presented. Since the sub-model coupling may cause errors, the validation process is then given to make the model more accurate. The results show that the tuning process is important for the functional blocks and the validation process is useful for the accuracy of the whole engine model. Subsequently, this program could be used as a plant model for MBC, to develop and test engine control units (ECUs) on HIL equipment for the purpose of improving ECU performance.

Suggested Citation

  • Jinguan Yin & Tiexiong Su & Zhuowei Guan & Quanhong Chu & Changjiang Meng & Li Jia & Jun Wang & Yangang Zhang, 2017. "Modeling and Validation of a Diesel Engine with Turbocharger for Hardware-in-the-Loop Applications," Energies, MDPI, vol. 10(5), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:685-:d:98549
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    References listed on IDEAS

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    1. Pizzonia, Francesco & Castiglione, Teresa & Bova, Sergio, 2016. "A Robust Model Predictive Control for efficient thermal management of internal combustion engines," Applied Energy, Elsevier, vol. 169(C), pages 555-566.
    2. Giakoumis, E.G. & Alafouzos, A.I., 2010. "Study of diesel engine performance and emissions during a Transient Cycle applying an engine mapping-based methodology," Applied Energy, Elsevier, vol. 87(4), pages 1358-1365, April.
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    Cited by:

    1. Welbert A. Rodrigues & Thiago R. Oliveira & Lenin M. F. Morais & Arthur H. R. Rosa, 2018. "Voltage and Power Balance Strategy without Communication for a Modular Solid State Transformer Based on Adaptive Droop Control," Energies, MDPI, vol. 11(7), pages 1-20, July.
    2. Salah A. M. Elmoselhy & Waleed F. Faris & Hesham A. Rakha, 2022. "Validated Analytical Modeling of Eccentricity and Dynamic Displacement in Diesel Engines with Flexible Crankshaft," Energies, MDPI, vol. 15(16), pages 1-21, August.
    3. Qinpeng Wang & Heming Yao & Yonghua Yu & Jianguo Yang & Yuhai He, 2021. "Establishment of a Real-Time Simulation of a Marine High-Pressure Common Rail System," Energies, MDPI, vol. 14(17), pages 1-17, September.
    4. Haosheng Shen & Chuan Zhang & Jundong Zhang & Baicheng Yang & Baozhu Jia, 2019. "Applicable and Comparative Research of Compressor Mass Flow Rate and Isentropic Efficiency Empirical Models to Marine Large-Scale Compressor," Energies, MDPI, vol. 13(1), pages 1-32, December.

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