IN-CYLINDER MASS FLOW ESTIMATION AND MANIFOLD PRESSURE DYNAMICS FOR STATE PREDICTION IN SI ENGINES

Author:

Sławomir Wojnar,Rohal-Ilkiv Boris,Šimončic Peter,Honek Marek,Jozef Csambál

Abstract

The aim of this paper is to present a simple model of the intake manifold dynamics of a spark ignition (SI) engine and its possible application for estimation and control purposes. We focus on pressure dynamics, which may be regarded as the foundation for estimating future states and for designing model predictive control strategies suitable for maintaining the desired air fuel ratio (AFR). The flow rate measured at the inlet of the intake manifold and the in-cylinder flow estimation are considered as parts of the proposed model. In-cylinder flow estimation is crucial for engine control, where an accurate amount of aspired air forms the basis for computing the manipulated variables. The solutions presented here are based on the mean value engine model (MVEM) approach, using the speed-density method. The proposed in-cylinder flow estimation method is compared to measured values in an experimental setting, while one-step-ahead prediction is illustrated using simulation results.

Publisher

Czech Technical University in Prague - Central Library

Subject

General Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Unscented Kalman Filter-Based State Estimation With Applications To SI Engines;2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol);2021-09-29

2. A Novel Adaptive UKF-based State Estimation Algorithm for Spark-Ignition Engines;2021 European Control Conference (ECC);2021-06-29

3. Manifold absolute pressure estimation using neural network with hybrid training algorithm;PLOS ONE;2017-11-30

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