A novel predictive semi-physical feed-forward turbocharging system transient control strategy based on mean-value turbocharger model

Huayin Tang, Colin Copeland, Sam Akehurst, Chris Brace, Peter Davies, Ludek Pohorelsky, Les Smith, Geoff Capon

Research output: Contribution to journalArticle

4 Citations (Scopus)
68 Downloads (Pure)

Abstract

Variable geometry turbine (VGT) is a technology that has been proven on Diesel engines. However, despite the potential to further improve gasoline engines fuel economy and transient response by using VGT, controlling the VGT during transients is challenging due to its highly non-linear behaviours especially on gasoline applications. After comparing three potential turbocharger transient control strategies, the one that predicts the turbine performances for a range of possible VGT settings in advance was developed and validated using a high fidelity engine model. The proposed control strategy is able to capture the complex transient behaviours and achieve the optimum VGT trajectories. This improved the turbocharger response time by more than 14% compared with a conventional PID controller, which cannot achieve target turbocharge speed in all cases. Furthermore, the calibration effort required can be significantly reduced, offering significant benefits for powertrain developers. It is expected that the structure of this transient control strategy can also be applied to complex air-path systems.
Original languageEnglish
Pages (from-to)765-775
JournalInternational Journal of Engine Research
Volume18
Issue number8
Early online date7 Oct 2016
DOIs
Publication statusPublished - 1 Oct 2017

Fingerprint Dive into the research topics of 'A novel predictive semi-physical feed-forward turbocharging system transient control strategy based on mean-value turbocharger model'. Together they form a unique fingerprint.

  • Cite this