吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (1): 236-244.doi: 10.13229/j.cnki.jdxbgxb20161353

• Orginal Article • Previous Articles     Next Articles

Structure parameters optimization of common rail system for gasoline direct injection engine

HU Yun-feng1, 2, WANG Chang-yong2, YU Shu-you1, 2, SUN Peng-yuan3, CHEN Hong1, 2   

  1. 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. College of Communication Engineering, Jilin University, Changchun 130022, China;
    3. R&D Center, China FAW Group Corporation, Changchun 130011, China
  • Received:2015-07-10 Online:2018-02-26 Published:2018-02-26

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Abstract: To reduce the common rail pressure fluctuation and reduce the workload of experimental calibration of structure parameters for Gasoline Direct Injection (GDI) engine, a structure parameters optimization method of common rail system is proposed based on improved genetic algorithm. First, a model of GDI common rail system, including high-pressure pump, common rail pipe, injector and low-pressure pump, is developed in GT-suite environment. Second, the effects of common rail pipe volume and damping orifice diameter of the rail pressure fluctuation and rise-time are analyzed by dynamics, and the rationality of the model is verified. Finally, a control system of the common rail pressure is designed based on feedforward and feedback. On this basis, an improved genetic algorithm is used to optimize the damping orifice diameter and common rail pipe volume, considering the common rail pressure fluctuation and rise-time as the objective functions. Simulation results show the effectiveness of the proposed optimization method.

Key words: automatic control technology, GDI common rail system, structure parameters optimization, closed-loop control, genetic algorithm

CLC Number: 

  • TP273
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