IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v125y2017icp297-312.html
   My bibliography  Save this article

A new control-oriented transient model of variable geometry turbocharger

Author

Listed:
  • Bahiuddin, Irfan
  • Mazlan, Saiful Amri
  • Imaduddin, Fitrian
  • Ubaidillah,

Abstract

The flow input of a variable geometry turbocharger turbine is highly unsteady due to rapid and periodic pressure dynamics in engine combustion chambers. Several VGT control methods have been developed to recover more energy from the highly pulsating exhaust gas flow. To develop a control system for the highly pulsating flow condition, an accurate and valid unsteady model is required. This study focuses on the derivation of governing the unsteady control-oriented model (COM) for a turbine of an actively controlled turbocharger (ACT). The COM has the capability to predict the turbocharger behaviour regarding the instantaneous turbine actual and isentropic powers in different effective throat areas. The COM is a modified version of a conventional mean value model (MVM) with an additional feature to calculate the turbine angular velocity and torque for determining the actual power. The simulation results were further compared with experimental data in two general scenarios. The first scenario was simulations on fixed geometry positions. The second simulation scenario considered the nozzle movement after receiving a signal from the controller in different cases. The comparison between simulation and experimental results showed similarities in the recovered power behaviours the turbine inlet area increases or vice versa. The model also has proved its reliability to replicate general behaviour as in the example of ACT cases presented in this paper. However, the model is incapable to replicate the detailed and complicated phenomena, such as choking effect and hysteresis effect.

Suggested Citation

  • Bahiuddin, Irfan & Mazlan, Saiful Amri & Imaduddin, Fitrian & Ubaidillah,, 2017. "A new control-oriented transient model of variable geometry turbocharger," Energy, Elsevier, vol. 125(C), pages 297-312.
    • Handle: RePEc:eee:energy:v:125:y:2017:i:c:p:297-312
    DOI: 10.1016/j.energy.2017.02.123
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217303067
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.02.123?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. Rajoo, Srithar & Romagnoli, Alessandro & Martinez-Botas, Ricardo F., 2012. "Unsteady performance analysis of a twin-entry variable geometry turbocharger turbine," Energy, Elsevier, vol. 38(1), pages 176-189.
    2. Aghaali, Habib & Ångström, Hans-Erik, 2015. "A review of turbocompounding as a waste heat recovery system for internal combustion engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 813-824.
    3. Zamboni, Giorgio & Moggia, Simone & Capobianco, Massimo, 2016. "Hybrid EGR and turbocharging systems control for low NOX and fuel consumption in an automotive diesel engine," Applied Energy, Elsevier, vol. 165(C), pages 839-848.
    4. Sakellaridis, Nikolaos F. & Raptotasios, Spyridon I. & Antonopoulos, Antonis K. & Mavropoulos, Georgios C. & Hountalas, Dimitrios T., 2015. "Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications," Energy, Elsevier, vol. 91(C), pages 952-966.
    5. Molina, S. & Guardiola, C. & Martín, J. & García-Sarmiento, D., 2014. "Development of a control-oriented model to optimise fuel consumption and NOX emissions in a DI Diesel engine," Applied Energy, Elsevier, vol. 119(C), pages 405-416.
    6. Marelli, Silvia & Capobianco, Massimo, 2011. "Steady and pulsating flow efficiency of a waste-gated turbocharger radial flow turbine for automotive application," Energy, Elsevier, vol. 36(1), pages 459-465.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Han, Zhiqiang & Ding, Jiawei & Du, Defeng & Tian, Wei & Wu, Xueshun & Xia, Qi & Zuo, Zinong, 2023. "Equivalent model-based optimal matching for two-stage turbocharging systems with bypass valves," Energy, Elsevier, vol. 264(C).
    2. Fridrichová, K. & Drápal, L. & Vopařil, J. & Dlugoš, J., 2021. "Overview of the potential and limitations of cylinder deactivation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    3. Li, Ji & Zhou, Quan & Williams, Huw & Xu, Pu & Xu, Hongming & Lu, Guoxiang, 2022. "Fuzzy-tree-constructed data-efficient modelling methodology for volumetric efficiency of dedicated hybrid engines," Applied Energy, Elsevier, vol. 310(C).

    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. Zhao, Rongchao & Li, Weihua & Zhuge, Weilin & Zhang, Yangjun & Yin, Yong & Wu, Yonghui, 2018. "Characterization of two-stage turbine system under steady and pulsating flow conditions," Energy, Elsevier, vol. 148(C), pages 407-423.
    2. Zhu, Sipeng & Gu, Yuncheng & Yuan, Hao & Ma, Zetai & Deng, Kangyao, 2020. "Thermodynamic analysis of the turbocharged marine two-stroke engine cycle with different scavenging air control technologies," Energy, Elsevier, vol. 191(C).
    3. Zhu, Dengting & Zheng, Xinqian, 2019. "Fuel consumption and emission characteristics in asymmetric twin-scroll turbocharged diesel engine with two exhaust gas recirculation circuits," Applied Energy, Elsevier, vol. 238(C), pages 985-995.
    4. Serrano, José Ramón & Olmeda, Pablo & Tiseira, Andrés & García-Cuevas, Luis Miguel & Lefebvre, Alain, 2013. "Theoretical and experimental study of mechanical losses in automotive turbochargers," Energy, Elsevier, vol. 55(C), pages 888-898.
    5. Ding, Zhanming & Zhuge, Weilin & Zhang, Yangjun & Chen, Hua & Martinez-Botas, Ricardo & Yang, Mingyang, 2017. "A one-dimensional unsteady performance model for turbocharger turbines," Energy, Elsevier, vol. 132(C), pages 341-355.
    6. Zhu, Dengting & Zheng, Xinqian, 2018. "A new asymmetric twin-scroll turbine with two wastegates for energy improvements in diesel engines," Applied Energy, Elsevier, vol. 223(C), pages 263-272.
    7. Serrano, José Ramón & Piqueras, Pedro & De la Morena, Joaquín & Gómez-Vilanova, Alejandro & Guilain, Stéphane, 2021. "Methodological analysis of variable geometry turbine technology impact on the performance of highly downsized spark-ignition engines," Energy, Elsevier, vol. 215(PB).
    8. Macián, V. & Serrano, J.R. & Piqueras, P. & Sanchis, E.J., 2019. "Internal pore diffusion and adsorption impact on the soot oxidation in wall-flow particulate filters," Energy, Elsevier, vol. 179(C), pages 407-421.
    9. Gu, Jie & Wang, Yingyuan & Hu, Jiancun & Zhang, Kun & Shi, Lei & Deng, Kangyao, 2024. "Real-time prediction of fuel consumption and emissions based on deep autoencoding support vector regression for cylinder pressure-based feedback control of marine diesel engines," Energy, Elsevier, vol. 300(C).
    10. Baek, Seungju & Lee, Hyeonjik & Lee, Kihyung, 2021. "Fuel efficiency and exhaust characteristics of turbocharged diesel engine equipped with an electric supercharger," Energy, Elsevier, vol. 214(C).
    11. Jarosław Ziółkowski & Mateusz Oszczypała & Jerzy Małachowski & Joanna Szkutnik-Rogoż, 2021. "Use of Artificial Neural Networks to Predict Fuel Consumption on the Basis of Technical Parameters of Vehicles," Energies, MDPI, vol. 14(9), pages 1-23, May.
    12. Marelli, Silvia & Marmorato, Giulio & Capobianco, Massimo, 2016. "Evaluation of heat transfer effects in small turbochargers by theoretical model and its experimental validation," Energy, Elsevier, vol. 112(C), pages 264-272.
    13. Reihani, Amin & Hoard, John & Klinkert, Stefan & Kuan, Chih-Kuang & Styles, Daniel & McConville, Greg, 2020. "Experimental response surface study of the effects of low-pressure exhaust gas recirculation mixing on turbocharger compressor performance," Applied Energy, Elsevier, vol. 261(C).
    14. Zhao, Rongchao & Zhuge, Weilin & Zhang, Yangjun & Yin, Yong & Zhao, Yanting & Chen, Zhen, 2016. "Parametric study of a turbocompound diesel engine based on an analytical model," Energy, Elsevier, vol. 115(P1), pages 435-445.
    15. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    16. Osorio, Julian D. & Panwar, Mayank & Rivera-Alvarez, Alejandro & Chryssostomidis, Chrys & Hovsapian, Rob & Mohanpurkar, Manish & Chanda, Sayonsom & Williams, Herbert, 2020. "Enabling thermal efficiency improvement and waste heat recovery using liquid air harnessed from offshore renewable energy sources," Applied Energy, Elsevier, vol. 275(C).
    17. Xue, Yingxian & Yang, Mingyang & Pan, Lei & Deng, Kangyao & Wu, Xintao & Wang, Cuicui, 2021. "Gasdynamic behaviours of a radial turbine with pulsating incoming flow," Energy, Elsevier, vol. 218(C).
    18. Lu, Kai & Bai, Shuzhan & Zang, Zhicheng & Li, Guoxiang, 2023. "Study on urea deposits risk of after-treatment system based on deposits boundary method," Energy, Elsevier, vol. 267(C).
    19. Du, Wei & Li, Yanjun & Shi, Jianxin & Sun, Baozhi & Wang, Chunhui & Zhu, Baitong, 2023. "Applying an improved particle swarm optimization algorithm to ship energy saving," Energy, Elsevier, vol. 263(PE).
    20. Cosmin Constantin Suciu & Sorin Vlad Igret & Ion Vetres & Ioana Ionel, 2024. "Review of the Integration of Hybrid Electric Turbochargers for Mass-Produced Road Vehicles," Energies, MDPI, vol. 17(6), pages 1-22, March.

    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:energy:v:125:y:2017:i:c:p:297-312. 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.journals.elsevier.com/energy .

    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.