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Performance Optimization of a Diesel Engine with a Two-Stage Turbocharging System and Dual-Loop EGR Using Multi-Objective Pareto Optimization Based on Diesel Cycle Simulation

Author

Listed:
  • Heecheong Yoo

    (Department of Mechanical Engineering, Hyundai Motor Company, Gyeonggi-do 18280, Korea)

  • Bum Youl Park

    (Department of Mechanical Design Engineering, Hanyang University, 55, Hanyang University, Gyeonggi-do 15588, Korea)

  • Honghyun Cho

    (Department of Mechanical Engineering, Chosun University, Gwangju 61452, Korea)

  • Jungsoo Park

    (Department of Mechanical Engineering, Chosun University, Gwangju 61452, Korea)

Abstract

The effects of an electric supercharger (eS) and a dual-loop exhaust gas recirculation (EGR) system on a passenger car’s diesel engine’s emissions and fuel efficiency under various worldwide harmonized light-duty vehicles test procedure (WLTP) reference operation points were investigated using a one-dimensional engine cycle simulation, called GT-Power. After heavy EGR application, the in-cylinder pressure and temperature declined due to a dilution effect. As eS power and rpm increased, the brake-specific fuel consumption (BSFC) decreased because the effects of the air flow rate increased. However, it was unavoidable that nitrogen oxide (NO x ) emissions also increased due to the higher in-cylinder pressure and temperature. To induce more EGR to the intake system, a dual-loop EGR system was applied with eS at different low-pressure EGR (LP-EGR) fractions (0, 0.25, 0.5, 0.75, and 1.0). Under these conditions, a design of experiment (DoE) procedure was carried out and response surface plots of the BSFC and brake-specific NO x (BSNO x ) were prepared. A multi-objective Pareto optimization method was used to improve the trade-off in results between the BSFC and BSNO x . Through optimization, optimal Pareto fronts were obtained, which suggested design parameters for eS power and rpm to control the engine under various LP fraction conditions.

Suggested Citation

  • Heecheong Yoo & Bum Youl Park & Honghyun Cho & Jungsoo Park, 2019. "Performance Optimization of a Diesel Engine with a Two-Stage Turbocharging System and Dual-Loop EGR Using Multi-Objective Pareto Optimization Based on Diesel Cycle Simulation," Energies, MDPI, vol. 12(22), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4223-:d:284007
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    References listed on IDEAS

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    Cited by:

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    2. Yi Dong & Jianmin Liu & Yanbin Liu & Xinyong Qiao & Xiaoming Zhang & Ying Jin & Shaoliang Zhang & Tianqi Wang & Qi Kang, 2020. "A RBFNN & GACMOO-Based Working State Optimization Control Study on Heavy-Duty Diesel Engine Working in Plateau Environment," Energies, MDPI, vol. 13(1), pages 1-24, January.
    3. Rami Y. Dahham & Haiqiao Wei & Jiaying Pan, 2022. "Improving Thermal Efficiency of Internal Combustion Engines: Recent Progress and Remaining Challenges," Energies, MDPI, vol. 15(17), pages 1-60, August.
    4. 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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