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Volume 38 Issue 4
Apr.  2012
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Journal of Beijing University of Aeronautics and Astronautics  > 2012  >  (4): 464-467,472.
Li Runing, He Yongling. Parameter identification of diesel fuel injection system model using genetic algorithms[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (4): 464-467,472. (in Chinese)
Citation: Li Runing, He Yongling. Parameter identification of diesel fuel injection system model using genetic algorithms[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (4): 464-467,472. (in Chinese)
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Parameter identification of diesel fuel injection system model using genetic algorithms

  • School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 10 Jan 2011
  • Publish Date: 30 Apr 2012
    Abstract
  • The changing of pressure in the diesel injection system results in the growth and collapse of gas bubbles, which affects the diesel flowing and pressure. In order to predict the initial void fraction and changes in the diesel injection system, the method using improved genetic algorithms in parameter identification for the model of diesel injection system was presented, including the initial void fraction of plunger chamber, delivery valve chamber, high-pressure oil pipe and needle valve chamber. The model of diesel injection system under the condition of gas-liquid was established based on the gas model, fitness function was built by comparing with the simulation results and the experimental data, so the parameter optimization of the model of diesel injection system was realized, and the model of diesel injection system of parameter identification was carried out. Comparisons between simulation results and experimental data show that the improved genetic algorithms are capable of estimating unknown parameters in the model of diesel injection system.

     

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