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Optimization of dual-loop exhaust gas recirculation splitting for a light-duty diesel engine with model-based control

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  • Park, Jungsoo
  • Choi, Jungwook

Abstract

The objective of this research was to develop dual-loop exhaust gas recirculation (EGR) split strategies. Model-based control was performed by coupling one-dimensional (1D) cycle simulation with control logic, and the EGR split index (ESI) was developed to investigate split effects on performance and emission. The key control logic concept was to compensate the low pressure (LP) EGR rate. Additionally, ESI, a newly developed index, is a non-dimensional factor expressing the high pressure (HP) and LP portions of the total EGR rate. Using the control model and ESI, the maximum EGR rates were determined under each operating condition, thereby maintaining lean burn combustion and minimizing NOX emission. A multi-objective Pareto method was used with the model-based control to optimize the engine operating parameters and thereby minimize NOX formation and fuel consumption. The control logic applied a step transient analysis based on the optimized parameters.

Suggested Citation

  • Park, Jungsoo & Choi, Jungwook, 2016. "Optimization of dual-loop exhaust gas recirculation splitting for a light-duty diesel engine with model-based control," Applied Energy, Elsevier, vol. 181(C), pages 268-277.
    • Handle: RePEc:eee:appene:v:181:y:2016:i:c:p:268-277
    DOI: 10.1016/j.apenergy.2016.07.128
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    References listed on IDEAS

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    1. Park, Jungsoo & Song, Soonho & Lee, Kyo Seung, 2015. "Numerical investigation of a dual-loop EGR split strategy using a split index and multi-objective Pareto optimization," Applied Energy, Elsevier, vol. 142(C), pages 21-32.
    2. Zeng, Xiangrui & Wang, Junmin, 2014. "A physics-based time-varying transport delay oxygen concentration model for dual-loop exhaust gas recirculation (EGR) engine air-paths," Applied Energy, Elsevier, vol. 125(C), pages 300-307.
    3. Zamboni, Giorgio & Moggia, Simone & Capobianco, Massimo, 2016. "Hybrid EGR and turbocharging systems control for low NOX and fuel consumption in an automotive diesel engine," Applied Energy, Elsevier, vol. 165(C), pages 839-848.
    4. Zamboni, Giorgio & Capobianco, Massimo, 2012. "Experimental study on the effects of HP and LP EGR in an automotive turbocharged diesel engine," Applied Energy, Elsevier, vol. 94(C), pages 117-128.
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    Cited by:

    1. Zhang, Qinghui & Hao, Zhiyong & Zheng, Xu & Yang, Wenying, 2017. "Characteristics and effect factors of pressure oscillation in multi-injection DI diesel engine at high-load conditions," Applied Energy, Elsevier, vol. 195(C), pages 52-66.
    2. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
    3. Park, Sangjun & Cho, Jungkeun & Park, Jungsoo, 2019. "Numerical methodology on virtual model extension and system-level optimization of light-duty diesel vehicle with dual-loop exhaust gas recirculation," Applied Energy, Elsevier, vol. 242(C), pages 1422-1435.
    4. Xu Zheng & Nan Zhou & Quan Zhou & Yi Qiu & Ruijun Liu & Zhiyong Hao, 2020. "Experimental Investigation on the High-frequency Pressure Oscillation Characteristics of a Combustion Process in a DI Diesel Engine," Energies, MDPI, vol. 13(4), pages 1-25, February.
    5. Giorgio Zamboni & Simone Moggia & Massimo Capobianco, 2017. "Effects of a Dual-Loop Exhaust Gas Recirculation System and Variable Nozzle Turbine Control on the Operating Parameters of an Automotive Diesel Engine," Energies, MDPI, vol. 10(1), pages 1-18, January.
    6. Yoon, Wonjun & Kim, Jonghyun & Chung, Chungsoo & Park, Jungsoo, 2022. "Numerical study on prediction of icing phenomena in intake system of diesel engine: Operating conditions with low-to-middle velocity of inlet air," Energy, Elsevier, vol. 248(C).

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