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

Heecheong Yoo, Bum Youl Park, Honghyun Cho and Jungsoo Park
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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

Energies, 2019, vol. 12, issue 22, 1-26

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.

Keywords: 1D engine cycle simulation; dual-loop EGR; electric supercharger; design of experiment; multi-objective Pareto optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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