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Computational technique for turbocharger transient characterization using real driving conditions data

Author

Listed:
  • Sandoval, Oscar R.
  • Fonda, Marina Vianna
  • Roso, Vinicius Rückert
  • da Costa, Roberto Berlini Rodrigues
  • Valle, Ramón Molina
  • Baêta, José G. Coelho

Abstract

The use of turbochargers is linked to strategies such as engine downsizing or downspeeding, once the use of this device compensates performance losses observed with the reduction of the displaced volume by compressing the air to be admitted. Steady-state tests of turbochargers are common in literature although not consistent with real behavior associated with a vehicular transient operation. To approximate the experimental tests using gas standard test benches to these real conditions, this paper aims to identify transient behavior of a turbocharger in a vehicular application. Experimental data is collected in two tests: steady-state on a dynamometer and transient on a real highway cycle. Added to the experimental tests, a computational one-dimensional model is developed. The steady-state engine data is used in the model inputs and results of a real transient cycle simulation are validated with the experimental transient data. A standard driving cycle is used to analyze the turbocharger speed behavior when both gear shifting strategy and vehicle load are changed. The computational method presented errors below 5% for the engine and turbocharger speeds, resulting in a powerful tool to perform experimental test profiles and to evaluate operational turbocharger parameters.

Suggested Citation

  • Sandoval, Oscar R. & Fonda, Marina Vianna & Roso, Vinicius Rückert & da Costa, Roberto Berlini Rodrigues & Valle, Ramón Molina & Baêta, José G. Coelho, 2019. "Computational technique for turbocharger transient characterization using real driving conditions data," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s036054421931494x
    DOI: 10.1016/j.energy.2019.07.152
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    Citations

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    Cited by:

    1. 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).
    2. Amaral, Lucimar Venâncio & Santos, Nathália Duarte Souza Alvarenga & Roso, Vinícius Rückert & Sebastião, Rita de Cássia de Oliveira & Pujatti, Fabrício José Pacheco, 2021. "Effects of gasoline composition on engine performance, exhaust gases and operational costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. da Costa, Roberto Berlini Rodrigues & Rodrigues Filho, Fernando Antônio & Moreira, Thiago Augusto Araújo & Baêta, José Guilherme Coelho & Guzzo, Márcio Expedito & de Souza, José Leôncio Fonseca, 2020. "Exploring the lean limit operation and fuel consumption improvement of a homogeneous charge pre-chamber torch ignition system in an SI engine fueled with a gasoline-bioethanol blend," Energy, Elsevier, vol. 197(C).
    4. Novotný, Pavel & Vacula, Jiří & Hrabovský, Jozef, 2021. "Solution strategy for increasing the efficiency of turbochargers by reducing energy losses in the lubrication system," Energy, Elsevier, vol. 236(C).

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