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Numerical simulation study on correlation between ion current signal and NOX emissions in controlled auto-ignition engine

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  • Liu, Yintong
  • Li, Liguang
  • Ye, Junyu
  • Wu, Zhijun
  • Deng, Jun

Abstract

NOX is one of the main compositions in the modern engine emissions and the reduction requirements of NOX have turned to be more stringent. To control NOX emissions better, the technologies of NOX sensors are forced to achieve much faster response and higher accuracy. In this paper, the correlation between ion current signals and NOX emissions is studied by both experiments and simulations in a direct-injection controlled auto-ignition (CAI) engine. The investigation provides the possibility of a novel method of cycle-by-cycle NOX emissions detection. The simulation results present this positive correlation based on the chemical kinetics theory, and also directly reflect the formation order of the chemical products and the influence of temperature on the rates of main ionization and NOX generated reactions. Furthermore, the distributions of both ions and NO products are shown with the CFD results, illustrating their in-cylinder space correlation. Combined with the simulation results, the experimental results not only validate the positive correlation between two different fuel types, but also provide the evidences of linear fitting function. Based on the fitting results, the cycle-based NOX emissions could be estimated.

Suggested Citation

  • Liu, Yintong & Li, Liguang & Ye, Junyu & Wu, Zhijun & Deng, Jun, 2015. "Numerical simulation study on correlation between ion current signal and NOX emissions in controlled auto-ignition engine," Applied Energy, Elsevier, vol. 156(C), pages 776-782.
    • Handle: RePEc:eee:appene:v:156:y:2015:i:c:p:776-782
    DOI: 10.1016/j.apenergy.2015.05.113
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    References listed on IDEAS

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    Cited by:

    1. Kumano, Kengo & Akagi, Yoshihiko & Matohara, Shinya & Uchise, Yoshifumi & Yamasaki, Yudai, 2020. "Using an ion-current sensor integrated in the ignition system to detect precursory phenomenon of pre-ignition in gasoline engines," Applied Energy, Elsevier, vol. 275(C).
    2. Chen, Yulin & Dong, Guangyu & Mack, J. Hunter & Butt, Ryan H. & Chen, Jyh-Yuan & Dibble, Robert W., 2016. "Cyclic variations and prior-cycle effects of ion current sensing in an HCCI engine: A time-series analysis," Applied Energy, Elsevier, vol. 168(C), pages 628-635.
    3. Wei, Li & Yan, Fuwu & Hu, Jie & Xi, Guangwei & Liu, Bo & Zeng, Jiawei, 2017. "Nox conversion efficiency optimization based on NSGA-II and state-feedback nonlinear model predictive control of selective catalytic reduction system in diesel engine," Applied Energy, Elsevier, vol. 206(C), pages 959-971.
    4. Chao, Yuedong & Chen, Xinye & Deng, Jun & Hu, Zongjie & Wu, Zhijun & Li, Liguang, 2018. "Additional injection timing effects on first cycle during gasoline engine cold start based on ion current detection system," Applied Energy, Elsevier, vol. 221(C), pages 55-66.

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