Combustion Monitoring Based on Engine Acoustic Emission Signal Processing

Cavina, Nicolò; Sgatti, Stefano; Cavanna, Filippo; Bisanti, Giancarlo

doi:10.4271/2009-01-1024

Cited by 18 publications

(2 citation statements)

References 21 publications

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“…The ionization current is a valid and robust technology for the in-cylinder pressure signal estimation [9]. A third method is that based on the acoustic emissions that can be measured with microphones [10][11][12]. Finally, some low-cost force transducers have been developed for the in-cylinder pressure sensing.…”

Section: Introductionmentioning

confidence: 99%

Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies

et al. 2021

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This work focuses on the implementation of innovative adaptive strategies and a closed-loop chain in a piston-damage-based combustion controller. In the previous paper (Part 1), implemented models and the open loop algorithm are described and validated by reproducing some vehicle maneuvers at the engine test cell. Such controller is further improved by implementing self-learning algorithms based on the analytical formulations of knock and the combustion model, to update the fuel Research Octane Number (RON) and the relationship between the combustion phase and the spark timing in real-time. These strategies are based on the availability of an on-board indicating system for the estimation of both the knock intensity and the combustion phase index. The equations used to develop the adaptive strategies are described in detail. A closed-loop chain is then added, and the complete controller is finally implemented in a Rapid Control Prototyping (RCP) device. The controller is validated with specific tests defined to verify the robustness and the accuracy of the adaptive strategies. Results of the online validation process are presented in the last part of the paper and the accuracy of the complete controller is finally demonstrated. Indeed, error between the cyclic and the target combustion phase index is within the range ±0.5 Crank Angle degrees (°CA), while the error between the measured and the calculated maximum in-cylinder pressure is included in the range ±5 bar, even when fuel RON or spark advance map is changing.

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Section: Introductionmentioning

confidence: 99%

Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies

et al. 2021

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“…The experimental identification of the "knocking" combustions requires the measurement of numerous instantaneous pressure cycles, at a high crank angle resolution (usually 0.1 degrees). A careful treatment of the measured data must be then performed to estimate a proper knock index from the analysis of each instantaneous pressure cycle [5], [6]. Usually, a certain operating condition is assumed as "knocking" when a prefixed percentage of individual cycles (around 2-3%) is characterized by a knock index overtaking a predefined threshold level.…”

Section: Introductionmentioning

confidence: 99%