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Dynamical modeling and state estimations of gasoline and ethanol impingement sprays in GDI systems using experimental and state-space based approaches

  • Olena Kuzmych
  • , Raouf Mobasheri
  • , Abdel Aitouche
  • , Xiang Li
  • , Dmytro Sobchuk
  • , Lubov Dobrovolska
  • , Lesya Fedik
  • Lutsk National Technical University
  • Junia
  • Automatic CRISTAL/JUNIA Villeneuve d'Ascq

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study presents a comparative experimental and modeling analysis of the impingement spray characteristics of gasoline and ethanol using a high-pressure gasoline direct injection (GDI) injector. We develop Lyapunov-Based approach to estimate key spray characteristics including rebound height with aid of MATLAB-based experimental data processing algorithms, both qualitative and quantitative assessments are provided, as well as forecast of the state of these characteristics in future time intervals. We present a combined experimental and modeling approach for analyze the impingement spray behavior of gasoline and ethanol using a GDI injector considering base experimental results obtained in [3] where macroscopic properties were investigated via high-speed Schlieren imaging and Phase Doppler Particle Analysis (PDPA) across injection pressures ranging from 10 to 50 MPa. Data-Driven modeling was supported by MATLAB-based polynomial curve fitting and system identification techniques. Key findings reveal that gasoline exhibits superior spray penetration and atomization compared to ethanol, particularly at ultra-high pressures. This suggests that gasoline atomization could significantly enhance combustion efficiency and emissions reduction in GDI engines.
Original languageEnglish
Title of host publication2025 33rd Mediterranean Conference on Control and Automation, MED 2025
EditorsAbdel Aitouche, Driss Mehdi, Dhaker Abnes, Lounis Adouane, Smail Bachir, Michel Basset, Juri Belikov, Abdellah Benzaouia, Manuel Berenguel, Nicola Bezzo, Luigi Biagiotti, Marcello Bonfe, Jerome Bosche, Mahd Boukerdja, Raffaele Carli, Alessandro Casavola, Graziana Cavone, Mohamed Chaabane, Michelle Chong, Vincent Cocquempot, Giacomo Como, Egidio D'Amato, Vittorio De Iuliis, Kyriakos Deliparaschos, Jean-Yves Dieulot, Lefteris Doitsidis, Mariagrazia Dotoli, Tolga Eren, Simon G. Fabri, Adriano Fagiolini, Mondher Farza, Antoine Ferreira, Giancarlo Fortino, Alessandro Freddi, Sergio Galeani, Hamd Gassara, Malek Ghanes, Laura Giarre', Jorge M Goncalves, Meriem Hayani Mechkouri, Loretta Ichim, Eric Joubert, Elkhatib Kamal, Mustafa Khammash, Maher Kharratt, Abdessamad Kobi, Olena Kuzmych, Kostas J Kyriakopoulos, Samir Ladaci, Othman Lakhal, Taous-Meriem Laleg, Minas Liarokapis, Julien Marzat, Kamal Medjaher, Paolo Mercorelli, Andrea Monteriu, Hassan Noura, Severus Constantin Olteanu, Rodolfo Orjuela, Zalman J. Palmor, Evangelos Papadopoulos, Nikos Papanikolopoulos, Dan Popescu, Maria Prandini, Vicenc Puig, Rabhi Abdelhamid, Vasso Reppa, Joachim Rudolph, Antonio Sala, Paolo Scarabaggio, David Scaradozzi, Luca Schenato, Horst Schulte, Olivie Sename, Jinjun Shan, Giuseppe Silano, Margareta Stefanovic, Florin Stoican, Fernando Tadeo, Davide Tebaldi, Didier Theilliol, Lizeth Torres, Costas Tzafestas, Damiano Varagnolo, Christos Verginis, Antonio Visioli, Haoping Wang, Marcin Witczak, Xiang Yu, Michel Zasadzinski, Elena Zattoni, Youmin Zhang, Argyrios Zolotas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages595-600
Number of pages6
ISBN (Electronic)9798331577193
ISBN (Print)9798331577209
DOIs
Publication statusPublished - 15 Jul 2025
Event33rd Mediterranean Conference on Control and Automation (MED) - Tangier
Duration: 10 Jun 202513 Jun 2025

Publication series

Name2025 33rd Mediterranean Conference on Control and Automation, MED 2025

Conference

Conference33rd Mediterranean Conference on Control and Automation (MED)
CityTangier
Period10/06/2513/06/25
Other33rd Mediterranean Conference on Control and Automation (MED) (10/06/2025-13/06/2025, Tangier)

Keywords

  • Data processing
  • dynamical modeling
  • predictive models

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modeling and Simulation

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