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

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 en...

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Main Authors: Alessandro Brusa, Nicolò Cavina, Nahuel Rojo, Jacopo Mecagni, Enrico Corti, Davide Moro, Matteo Cucchi, Nicola Silvestri
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/17/5342
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spelling doaj-aba6154a90ca45749a80671f52a8c2632021-09-09T13:43:00ZengMDPI AGEnergies1996-10732021-08-01145342534210.3390/en14175342Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive StrategiesAlessandro Brusa0Nicolò Cavina1Nahuel Rojo2Jacopo Mecagni3Enrico Corti4Davide Moro5Matteo Cucchi6Nicola Silvestri7Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, ItalyDepartment of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, ItalyDepartment of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, ItalyDepartment of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, ItalyDepartment of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, ItalyDepartment of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, ItalyFerrari S.p.A., 41053 Maranello MO, ItalyFerrari S.p.A., 41053 Maranello MO, ItalyThis 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.https://www.mdpi.com/1996-1073/14/17/5342knockcombustionefficiency improvementCO<sub>2</sub> emissionscontroladaptive strategy
collection DOAJ
language English
format Article
sources DOAJ
author Alessandro Brusa
Nicolò Cavina
Nahuel Rojo
Jacopo Mecagni
Enrico Corti
Davide Moro
Matteo Cucchi
Nicola Silvestri
spellingShingle Alessandro Brusa
Nicolò Cavina
Nahuel Rojo
Jacopo Mecagni
Enrico Corti
Davide Moro
Matteo Cucchi
Nicola Silvestri
Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies
Energies
knock
combustion
efficiency improvement
CO<sub>2</sub> emissions
control
adaptive strategy
author_facet Alessandro Brusa
Nicolò Cavina
Nahuel Rojo
Jacopo Mecagni
Enrico Corti
Davide Moro
Matteo Cucchi
Nicola Silvestri
author_sort Alessandro Brusa
title Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies
title_short Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies
title_full Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies
title_fullStr Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies
title_full_unstemmed Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 2—Implementation of Adaptive Strategies
title_sort development and experimental validation of an adaptive, piston-damage-based combustion control system for si engines: part 2—implementation of adaptive strategies
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-08-01
description 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.
topic knock
combustion
efficiency improvement
CO<sub>2</sub> emissions
control
adaptive strategy
url https://www.mdpi.com/1996-1073/14/17/5342
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