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Understanding and detecting misfire in an HCCI engine fuelled with ethanol

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  • Bahri, Bahram
  • Aziz, Azhar Abdul
  • Shahbakhti, Mahdi
  • Muhamad Said, Mohd Farid

Abstract

Homogeneous charge compression ignition (HCCI) with ethanol as a renewable fuel offers a promising solution to tackle some of major challenges before realizing green powertrains. Misfire limits HCCI engine operation and can damage exhaust after treatment system. This article aims to understand the effect of misfire on the operation of an ethanol fuelled HCCI engine. The experimental data from a 0.3 liter converted-diesel HCCI engine was used to investigate the effect of misfire on exhaust emissions, in-cylinder pressure trace, indicated mean effective pressure (IMEP), heat release and combustion phasing metrics. It was found that variation of combustion parameters such as start of combustion (SOC) and crank angle of maximum in-cylinder pressure are not effective parameters for HCCI misfire detection. However, there is a strong correlation between the occurrence of misfire and variation of cylinder pressure at 5, 10, 15 and 20 CAD aTDC. These experimental findings were then used to design an artificial neural network (ANN) model to detect misfire in the HCCI engine. The model was tested on the experimental data for a mix of 7800 normal and misfire cycles. The results indicated that the ANN misfire detection (AMD) model can detect HCCI misfire with 100% accuracy. In addition, the AMD model was found to be capable of successfully detecting the onset of the transition from normal to misfire operation region.

Suggested Citation

  • Bahri, Bahram & Aziz, Azhar Abdul & Shahbakhti, Mahdi & Muhamad Said, Mohd Farid, 2013. "Understanding and detecting misfire in an HCCI engine fuelled with ethanol," Applied Energy, Elsevier, vol. 108(C), pages 24-33.
    • Handle: RePEc:eee:appene:v:108:y:2013:i:c:p:24-33
    DOI: 10.1016/j.apenergy.2013.03.004
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    8. Ghazimirsaied, Ahmad & Koch, Charles Robert, 2012. "Controlling cyclic combustion timing variations using a symbol-statistics predictive approach in an HCCI engine," Applied Energy, Elsevier, vol. 92(C), pages 133-146.
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    2. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
    3. Bahri, Bahram & Shahbakhti, Mahdi & Aziz, Azhar Abdul, 2017. "Real-time modeling of ringing in HCCI engines using artificial neural networks," Energy, Elsevier, vol. 125(C), pages 509-518.
    4. Noh, Hyun Kwon & No, Soo-Young, 2017. "Effect of bioethanol on combustion and emissions in advanced CI engines: HCCI, PPC and GCI mode – A review," Applied Energy, Elsevier, vol. 208(C), pages 782-802.
    5. Wang, Xin & Ge, Yunshan & Zhang, Chuanzhen & Tan, Jianwei & Hao, Lijun & Liu, Jia & Gong, Huiming, 2016. "Effects of engine misfire on regulated, unregulated emissions from a methanol-fueled vehicle and its ozone forming potential," Applied Energy, Elsevier, vol. 177(C), pages 187-195.
    6. Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
    7. Moradi, Jamshid & Gharehghani, Ayat & Mirsalim, Mostafa, 2020. "Numerical investigation on the effect of oxygen in combustion characteristics and to extend low load operating range of a natural-gas HCCI engine," Applied Energy, Elsevier, vol. 276(C).
    8. Komninos, N.P. & Rakopoulos, C.D., 2016. "Heat transfer in hcci phenomenological simulation models: A review," Applied Energy, Elsevier, vol. 181(C), pages 179-209.
    9. Andwari, Amin Mahmoudzadeh & Aziz, Azhar Abdul & Said, Mohd Farid Muhamad & Latiff, Zulkarnain Abdul, 2014. "Experimental investigation of the influence of internal and external EGR on the combustion characteristics of a controlled auto-ignition two-stroke cycle engine," Applied Energy, Elsevier, vol. 134(C), pages 1-10.
    10. Wick, Maximilian & Bedei, Julian & Gordon, David & Wouters, Christian & Lehrheuer, Bastian & Nuss, Eugen & Andert, Jakob & Koch, Charles Robert, 2019. "In-cycle control for stabilization of homogeneous charge compression ignition combustion using direct water injection," Applied Energy, Elsevier, vol. 240(C), pages 1061-1074.
    11. Akram, M. Zuhaib, 2021. "Study of hydrogen impact on lean flammability limit and burning characteristics of a kerosene surrogate," Energy, Elsevier, vol. 231(C).
    12. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
    13. Ezoji, Hosein & Ajarostaghi, Seyed Soheil Mousavi, 2020. "Thermodynamic-CFD analysis of waste heat recovery from homogeneous charge compression ignition (HCCI) engine by Recuperative organic Rankine Cycle (RORC): Effect of operational parameters," Energy, Elsevier, vol. 205(C).
    14. Bendu, Harisankar & Murugan, S., 2014. "Homogeneous charge compression ignition (HCCI) combustion: Mixture preparation and control strategies in diesel engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 732-746.

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