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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Meng Xia & Changlu Zhao & Fujun Zhang & Ying Huang, 2017. "Modeling the Performance of a New Speed Adjustable Compound Supercharging Diesel Engine Working under Plateau Conditions," Energies, MDPI, vol. 10(5), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:689-:d:98894
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    References listed on IDEAS

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    1. Zhu, Zhenxia & Zhang, Fujun & Li, Changjiang & Wu, Taotao & Han, Kai & Lv, Jianguo & Li, Yunlong & Xiao, Xuelian, 2015. "Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau," Applied Energy, Elsevier, vol. 157(C), pages 789-797.
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    Cited by:

    1. Qiang Liu & Zhongchang Liu & Yongqiang Han & Jing Tian & Jun Wang & Jian Fang, 2018. "Experimental Investigation of the Loading Strategy of an Automotive Diesel Engine under Transient Operation Conditions," Energies, MDPI, vol. 11(5), pages 1-15, May.
    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. Zhongchang Liu & Xing Yuan & Jing Tian & Yongqiang Han & Runzhao Li & Guanlong Gao, 2018. "Investigation of Sectional-Stage Loading Strategies on a Two-Stage Turbocharged Heavy-Duty Diesel Engine under Transient Operation with EGR," Energies, MDPI, vol. 11(1), pages 1-19, January.

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