Modeling the Performance of a New Speed Adjustable Compound Supercharging Diesel Engine Working under Plateau Conditions

Meng Xia, Changlu Zhao, Fujun Zhang and Ying Huang
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Meng Xia: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Changlu Zhao: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Fujun Zhang: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Ying Huang: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Energies, 2017, vol. 10, issue 5, 1-14

Abstract: In order to improve the diesel engine performance under plateau (high altitude) conditions, a new Speed Adjustable Compound (SAC) supercharging method is proposed. A simulation model based on a six-cylinder V-type turbocharged intercooler diesel engine is built on the GT-POWER platform, and then simulation-based research is carried out. A genetic algorithm (GA) is used to identify the best operation parameters, including the supercharger speed and fuel injection quantity under steady state conditions. Transient performance is obtained through starting process simulation of a vehicle with SAC engine on the MATLAB/Simulink GT-POWER co-simulation platform. Both the steady and transient performance of the SAC engine are compared with those of the original engine. Results show that the torque of the SAC engine at full load is significantly increased when the engine speed n < 1600 r/min. The increment of the maximum torque can reach up to 31% at 1000 r/min compared to that of the original engine, while the peak torque is increased by 9%. The fuel consumption deterioration is restricted within 5%. What’s more, the SAC engine can help reducing the acceleration time by 20% during tip-in pedal events during the vehicle starting process.

Keywords: diesel engine; GT-POWER; genetic algorithm; co-simulation; plateau conditions (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: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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