Cycle-to-cycle combustion variability modelling in spark ignited engines for control purposes
| Autor: | Joaquin De La Morena, Irina Jiménez, Benjamín Pla, Pau Bares |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
020209 energy
Nuclear engineering Combustion model Aerospace Engineering Ocean Engineering Intake pressure 02 engineering and technology Air mass (solar energy) Spark ignited engines Combustion law.invention Physics::Fluid Dynamics 0203 mechanical engineering Cycle-to-cycle variability law Combustion control Spark (mathematics) 0202 electrical engineering electronic engineering information engineering Mechanical Engineering INGENIERIA AEROESPACIAL Ignition system 020303 mechanical engineering & transports MAQUINAS Y MOTORES TERMICOS Automotive Engineering Environmental science |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2041-3149 1468-0874 |
| DOI: | 10.1177/1468087419885754 |
| Popis: | [EN] A control-oriented model of spark ignition combustion is presented. The model makes use of avaliable signals, such as spark advance, air mass, intake pressure, and lambda, to characterize not only the average combustion evolution but also the cycle-to-cycle variability. The conventional turbulent flame propagation model with two states, namely entrained mass and burnt mass, is improved by look-up tables at some parameters, and the cycle-to-cycle variability is estimated by propagation of an exogenous noise with a normal probabilistic distribution at the turbulent and laminar flame speed, which intends to simulate the unknowns at turbulent flow, temperature distribution, or initial kernel distribution. The model is able to estimate which is the expected variability during the combustion evolution and might be used online for characterizing the time response of closed-loop control actions or it can be used offline to improve the control strategies without large experimental test campaigns. Experimental data from a four-stroke commercial engine was used for calibration and validation purposes, demonstrating the capabilities of the model in steady and transient conditions. The authors appreciate the technical support and the clues given by J. Israel Sanchez for the model development and also acknowledge the support of Spanish Ministerio de Economia, Industria y Competitividad through project TRA2016-78717-R. |
| Databáze: | OpenAIRE |
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