IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v261y2020ics0306261919320938.html
   My bibliography  Save this article

Symbol-sequence statistics-based cylinder-to-cylinder variation control in spark-ignition engines

Author

Listed:
  • Xu, Zidan
  • Shen, Tielong

Abstract

With the rapid market expansion of hybrid/electric vehicles, automobiles equipped with conventional internal combustion engines are facing stricter emission regulations and growing demands for efficiency improvement. As the bottleneck for further combustion efficiency enhancement, combustion variation in spark ignition engines has been investigated by means of both experimental tests and numerical analyses for many years. In this study, a symbol-sequence statistics-based method was utilized to detect and extract the deterministic features in combustion variation for a multi-cylinder engine. Based on the resulting data, a novel control algorithm was proposed to reduce cylinder-to-cylinder variation. The effectiveness and performance of the proposed method were experimentally validated on a production spark ignition engine test bench.

Suggested Citation

  • Xu, Zidan & Shen, Tielong, 2020. "Symbol-sequence statistics-based cylinder-to-cylinder variation control in spark-ignition engines," Applied Energy, Elsevier, vol. 261(C).
  • Handle: RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320938
    DOI: 10.1016/j.apenergy.2019.114406
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919320938
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.114406?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sen, Asok K. & Zheng, Jianjun & Huang, Zuohua, 2011. "Dynamics of cycle-to-cycle variations in a natural gas direct-injection spark-ignition engine," Applied Energy, Elsevier, vol. 88(7), pages 2324-2334, July.
    2. Kalghatgi, Gautam, 2018. "Is it really the end of internal combustion engines and petroleum in transport?," Applied Energy, Elsevier, vol. 225(C), pages 965-974.
    3. Wang, Ying & Xiao, Fan & Zhao, Yuwei & Li, Dongchang & Lei, Xiong, 2015. "Study on cycle-by-cycle variations in a diesel engine with dimethyl ether as port premixing fuel," Applied Energy, Elsevier, vol. 143(C), pages 58-70.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Israel Reyes-Ramírez & Santiago D. Martínez-Boggio & Pedro L. Curto-Risso & Alejandro Medina & Antonio Calvo Hernández & Lev Guzmán-Vargas, 2018. "Symbolic Analysis of the Cycle-to-Cycle Variability of a Gasoline–Hydrogen Fueled Spark Engine Model," Energies, MDPI, vol. 11(4), pages 1-19, April.
    2. Duan, Xiongbo & Liu, Jingping & Yuan, Zhipeng & Guo, Genmiao & Liu, Qi & Tang, Qijun & Deng, Banglin & Guan, Jinhuan, 2018. "Experimental investigation of the effects of injection strategies on cycle-to-cycle variations of a DISI engine fueled with ethanol and gasoline blend," Energy, Elsevier, vol. 165(PB), pages 455-470.
    3. 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.
    4. Kale, Aneesh Vijay & Krishnasamy, Anand, 2023. "Experimental study of homogeneous charge compression ignition combustion in a light-duty diesel engine fueled with isopropanol–gasoline blends," Energy, Elsevier, vol. 264(C).
    5. 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.
    6. Jung, Dongwon & Iida, Norimasa, 2015. "Closed-loop control of HCCI combustion for DME using external EGR and rebreathed EGR to reduce pressure-rise rate with combustion-phasing retard," Applied Energy, Elsevier, vol. 138(C), pages 315-330.
    7. Wang, Ying & Xiao, Fan & Zhao, Yuwei & Li, Dongchang & Lei, Xiong, 2015. "Study on cycle-by-cycle variations in a diesel engine with dimethyl ether as port premixing fuel," Applied Energy, Elsevier, vol. 143(C), pages 58-70.
    8. Ma, Zetai & Xie, Wenping & Xiang, Hanchun & Zhang, Kun & Yang, Mingyang & Deng, Kangyao, 2023. "Thermodynamic analysis of power recovery of marine diesel engine under high exhaust backpressure by additional electrically driven compressor," Energy, Elsevier, vol. 266(C).
    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. Luo, Pan & Gao, Kai & Hu, Lin & Chen, Bin & Zhang, Yuanjian, 2024. "Adaptive hybrid cooling strategy to mitigate battery thermal runaway considering natural convection in phase change material," Applied Energy, Elsevier, vol. 361(C).
    11. Kung, Kevin S. & Thengane, Sonal K. & Ghoniem, Ahmed F. & Lim, C. Jim & Cao, Yankai & Sokhansanj, Shahabaddine, 2022. "Start-up, shutdown, and transition timescale analysis in biomass reactor operations," Energy, Elsevier, vol. 248(C).
    12. Sangram Kishore Nanda & Boru Jia & Andrew Smallbone & Anthony Paul Roskilly, 2017. "Development of a Diesel Engine Thermal Overload Monitoring System with Applications and Test Results," Energies, MDPI, vol. 10(7), pages 1-13, June.
    13. Betgeri, Vikram & Bhardwaj, Om Parkash & Pischinger, Stefan, 2023. "Investigation of the drop-in capabilities of a renewable 1-Octanol based E-fuel for heavy-duty engine applications," Energy, Elsevier, vol. 282(C).
    14. Maurya, Rakesh Kumar & Agarwal, Avinash Kumar, 2013. "Experimental investigation of cyclic variations in HCCI combustion parameters for gasoline like fuels using statistical methods," Applied Energy, Elsevier, vol. 111(C), pages 310-323.
    15. Yin, Lianhao & Lundgren, Marcus & Wang, Zhenkan & Stamatoglou, Panagiota & Richter, Mattias & Andersson, Öivind & Tunestål, Per, 2019. "High efficient internal combustion engine using partially premixed combustion with multiple injections," Applied Energy, Elsevier, vol. 233, pages 516-523.
    16. Natalia Duarte Forero & Donovan Arango Barrios & Jorge Duarte Forero, 2019. "Overview of Potential Use of Hydroxyl and Hydrogen as an Alternative Fuel in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 525-534.
    17. Stefania Lucantonio & Andrea Di Giuliano & Leucio Rossi & Katia Gallucci, 2023. "Green Diesel Production via Deoxygenation Process: A Review," Energies, MDPI, vol. 16(2), pages 1-44, January.
    18. Ahmad, Zeeshan & Kaario, Ossi & Qiang, Cheng & Vuorinen, Ville & Larmi, Martti, 2019. "A parametric investigation of diesel/methane dual-fuel combustion progression/stages in a heavy-duty optical engine," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    19. Liu, Hongxiang & Han, Ling & Cao, Yue, 2020. "Improving transmission efficiency and reducing energy consumption with automotive continuously variable transmission: A model prediction comprehensive optimization approach," Applied Energy, Elsevier, vol. 274(C).
    20. Loris Ventura & Roberto Finesso & Stefano A. Malan, 2023. "Development of a Model-Based Coordinated Air-Fuel Controller for a 3.0 dm 3 Diesel Engine and Its Assessment through Model-in-the-Loop," Energies, MDPI, vol. 16(2), pages 1-23, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320938. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.