• Title of article

    An investigation of optimum control of ignition timing and injection system in an in-cylinder injection type hydrogen fueled engine

  • Author/Authors

    Zhenzhong، نويسنده , , Yang and Jianqin، نويسنده , , Wei and Zhuoyi، نويسنده , , Fang and Jinding، نويسنده , , Li، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2002
  • Pages
    5
  • From page
    213
  • To page
    217
  • Abstract
    It is already known that the emission characteristic of hydrogen fueled engines are extremely good, when running the engine under lean burn conditions, with excess air ratios λ>2 which lower the NOx emissions (Int. J. Hydrogen Energy 4 (1997) 423). However, there are abnormal combustion in the engine, which is one of the factors that has prevented the practical use of the engine. It is also a common conclusion that abnormal combustion can be suppressed in the in-cylinder injection type engine (International Fuels and Lubricants Meeting and Exposition, Philadelphia, PA, 6–9 October, SAE Technical Paper Series No. 8615769, 1986; Int. J. Hydrogen Energy 2 (1977) 329). But, such advantages as suppression of abnormal combustion, engine power-up and reduction of NOx emission are gained depending on proper injection system and reasonable injection timing, ignition timing and law of hydrogen injection. In this study, Hydrogen is injected into the cylinder in the late compression stroke and is ignited by electric spark in a test engine. The research on the performance of hydrogen fueled engine is carried out under the condition of different ignition timing and injection timing. Further, a control system consisting of a fuzzy-neural network controller combining with ignition adaptive controller is applied to the engine in order to optimally control ignition timing, injection timing and cycle amount of hydrogen injection. Thus, the performances in the hydrogen engine attain optimization in every operating state of the engine.
  • Keywords
    Hydrogen fueled engine , Ignition , optimum control , Fuzzy-neural network , In-cylinder injection
  • Journal title
    International Journal of Hydrogen Energy
  • Serial Year
    2002
  • Journal title
    International Journal of Hydrogen Energy
  • Record number

    1648977