Optimising flex fuel engine performance

Grant number: DP120101830 | Funding period: 2012 - 2016

Completed

Abstract

This project will enable alternative fuels to be used optimally in engines for transport and distributed electricity generation. This will benefit Australian industry through better engine control technology and the Australian public through reduced emissions and cost in running engines using natural gas or LPG.

Related publications (9)

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Role of Coherent Structures in Turbulent Premixed Flame Acoustics

D Brouzet, A Haghiri, M Talei, MJ Brear, OT Schmidt, G Rigas, T Colonius

2020-06-01

Spectral proper orthogonal decomposition (SPOD) is applied to direct numerical simulation datasets of a lean and a stoichiometric ..

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Flame Annihilation Displacement Speed and Stretch Rate in Turbulent Premixed Flames

A Haghiri, M Talei, MJ Brear, ER Hawkes

2020-04-01

This paper examines the dynamics of flame annihilation in turbulent premixed flames using a DNS dataset of Haghiri et al. (J. Flui..

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Annihilation events topology and their generated sound in turbulent premixed flames

Davy Brouzet, Ali Haghiri, Mohsen Talei, Michael J Brear

2019-06-01

The Combustion Institute This paper studies the contribution of flame annihilation events to the sound radiated by turbulent, prem..

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Multiplexed extremum seeking for calibration of spark timing in a CNG-fuelled engine

Jalil Sharafi, William H Moase, Chris Manzie

2018-03-01

The compositional variability of many alternative fuels, coupled with fuel agnostic behaviour like engine ageing and vehicle-to-ve..

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A class of adaptive feedforward control using multiplexed extremum seeking

J Sharafi, WH Moase, C Manzie

2016-01-01

Most extremum seeking design approaches consider optimising the steady state output of a plant with stationary input-output behavi..

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Optimal move blocking strategies for model predictive control

Rohan C Shekhar, Chris Manzie

2015-11-01

This paper presents a systematic methodology for designing move blocking strategies to reduce the complexity of a model predictive..

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Fast extremum seeking on Hammerstein plants: A model-based approach

J Sharafi, WH Moase, C Manzie

2015-09-01

Abstract Partial plant knowledge may be used to develop model-based extremum seekers; however, existing results rely on a type of ..

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Fast Model-Based Extremum Seeking on Hammerstein Plants

Jalil Sharafi, William H Moase, Rohan C Shekhar, Chris Manzie

2013-01-01

Partial plant knowledge may be used to develop model-based extremum seekers, however existing results rely on a type of time-scale..

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Semi-Global Stability Analysis of a Discrete-Time Extremum-Seeking Scheme using LDI Methods

Rohan C Shekhar, William H Moase, Chris Manzie

2013-01-01

This paper presents and analyses a new formulation of extremum-seeking control for discrete-time systems. Assuming a static, stron..

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