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Model-Based Pre-Ignition Diagnostics in a Race Car Application

Author

Listed:
  • Vittorio Ravaglioli

    (Department of Industrial Engineering, University of Bologna, via Seganti 103, 47121 Forli, Italy)

  • Carlo Bussi

    (Scuderia Ferrari, Via Enzo Ferrari 27, 41053 Maranello, Italy)

Abstract

Since 2014, Formula 1 engines have been turbocharged spark-ignited engines. In this scenario, the maximum engine power available in full-load conditions can be achieved only by optimizing combustion phasing within the cycle, i.e., by advancing the center of combustion until the limit established by the occurrence of abnormal combustion. High in-cylinder pressure peaks and the possible occurrence of knocking combustion significantly increase the heat transfer to the walls and might generate hot spots inside the combustion chamber. This work presents a methodology suitable to properly diagnose and control the occurrence of pre-ignition events that emanate from hot spots. The methodology is based on a control-oriented model of the ignition delay, which is compared to the actual ignition delay calculated from the real-time processing of the in-cylinder pressure trace. When the measured ignition delay becomes significantly smaller than that modeled, it means that ignition has been activated by a hot spot instead of the spark plug. In this case, the presented approach, implemented in the electronic control unit (ECU) that manages the whole hybrid power unit, detects a pre-ignition event and corrects the injection pattern to avoid the occurrence of further abnormal combustion.

Suggested Citation

  • Vittorio Ravaglioli & Carlo Bussi, 2019. "Model-Based Pre-Ignition Diagnostics in a Race Car Application," Energies, MDPI, vol. 12(12), pages 1-12, June.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2277-:d:239750
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    Cited by:

    1. Denghao Zhu & Jun Deng & Jinqiu Wang & Shuo Wang & Hongyu Zhang & Jakob Andert & Liguang Li, 2020. "Development and Application of Ion Current/Cylinder Pressure Cooperative Combustion Diagnosis and Control System," Energies, MDPI, vol. 13(21), pages 1-21, October.

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