Development and Validation of a Control-Oriented Analytic Engine Simulator

Brusa, Alessandro; Cavina, Nicolò; Rojo, Nahuel; Cucchi, Matteo; Silvestri, Nicola

doi:10.4271/2019-24-0002

Cited by 7 publications

(11 citation statements)

References 23 publications

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“…The final output of the open-loop chain is the ΔSA (with respect to the mapped values) that achieves the target MFB50. The MFB50 model analytically defines the relationship between the actuated spark timing and the combustion phase [3]. Figure 6 represents the block scheme of the controller open-loop chain, including the adaptive MFB50 model.…”

Section: Adaptive Combustion Modelmentioning

confidence: 99%

“…In the Part 1 of the whole activity a robust and accurate open-loop controller is developed and validated, and the main implemented models are described, including the control-oriented piston damage model [1] and the analytical knock model [2]. Other important models introduced in the open-loop controller are the analytical maximum in-cylinder pressure (Pmax) and 50% of mass of fuel burned (MFB50) ones, described by the authors in [3]. Knock and Pmax models are further validated in this work through the comparison of the model coefficients calibrated for two different Spark Ignition (SI) engines.…”

Section: Introductionmentioning

confidence: 99%

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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: Adaptive Combustion Modelmentioning

confidence: 99%

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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“…In this section, the piston damage model, the analytical knock intensity model, Pmax, and MFB50 models are described, highlighting those features that have to be considered to understand the development of the combustion controller. The results presented below are only a portion of the complete campaign carried out to develop each model, described in the previous works by the authors [23][24][25]. In this case, analytical models (knock, Pmax and MFB50) are specialized for each cylinder.…”

Section: Implemented Modelsmentioning

confidence: 99%

“…Both models can be considered as an innovative contribution to the field of knock modeling and control, especially because they allowed the development of the complex open-loop control chain described in this document that has the capability of converting a target piston damage into a combustion phase value, cycle-by-cycle. The 50% of mass of fuel burned (MFB50) control-oriented model already described in a previous work of the authors [25] is here reversed to use target MFB50 as input and directly calculate the corresponding spark timing to reach such combustion phase value, for any given operating condition.…”

Section: Introductionmentioning

confidence: 99%

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Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 1—Evaluating Open-Loop Chain Performance

et al. 2021

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This work is focused on the development and validation of a spark advance controller, based on a piston “damage” model and a predictive knock model. The algorithm represents an integrated and innovative way to manage both the knock intensity and combustion phase. It is characterized by a model-based open-loop algorithm with the capability of calculating with high accuracy the spark timing that achieves the desired piston damage in a certain period, for knock-limited engine operating conditions. Otherwise, it targets the maximum efficiency combustion phase. Such controller is primarily thought to be utilized under conditions in which feedback is not needed. In this paper, the main models and the structure of the open-loop controller are described and validated. The controller is implemented in a rapid control prototyping device and validated reproducing real driving maneuvers at the engine test bench. Results of the online validation process are presented at the end of the paper.

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Accelerometer-based SOC estimation methodology for combustion control applied to Gasoline Compression Ignition

Silvagni

Ravaglioli

Ponti

et al. 2022

J. Phys.: Conf. Ser.

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The European Community’s recent decision to suspend the marketing of cars with conventional fossil-fueled internal combustion engines from 2035 requires new solutions, based on carbon-neutral technologies, that ensure equivalent performances in terms of reliability, trip autonomy, refueling times and end-of-life disposal of components compared to those of current gasoline or diesel cars. The use of bio-fuels and hydrogen, which can be obtained by renewable energy sources, coupled with high-efficiency combustion methodologies might allow to reach the carbon neutrality of transports (net-zero carbon dioxide emissions) even using the well-known internal combustion engine technology. Bearing this in mind, experiments were carried out on compression ignited engines running on gasoline (GCI) with a high thermal efficiency which, in the future, could be easily adapted to run on a bio-fuel. Despite the well-reported benefits of GCI engines in terms of efficiency and pollutant emissions, combustion instability hinders the diffusion of these engines for industrial applications. A possible solution to stabilize GCI combustion is the use of multiple injections strategies, typically composed by 2 early injected fuel jests followed by the main injection. The heat released by the combustion of the earlier fuel jets allows to reduce the ignition delay of the main injection, directly affecting both delivered torque and center of combustion. As a result, to properly manage GCI engines, a stable and reliable combustion of the pre-injections is mandatory. In this paper, an estimation methodology of the start of combustion (SOC) position, based on the analysis of the signal coming from an accelerometer sensor mounted on the engine block, is presented (the optimal sensor positioning is also discussed). A strong correlation between the SOC calculated from the accelerometer and that obtained from the analysis of the rate of heat release (RoHR) was identified. As a result, the estimated SOC could be used to feedback an adaptive closed-loop combustion control algorithm, suitable to improve the stability of the whole combustion process.

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Development and Validation of a Control-Oriented Analytic Engine Simulator

Cited by 7 publications

References 23 publications

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

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

Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 1—Evaluating Open-Loop Chain Performance

Accelerometer-based SOC estimation methodology for combustion control applied to Gasoline Compression Ignition

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