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The University of Southampton

Indirect reconstruction of IC engine cylinder pressure Seminar

16:00 - 17:00
26 April 2022
Microsoft Teams meeting

For more information regarding this seminar, please email Vanui Mardanyan at .

Event details

ISVR Research seminar

Closed-loop combustion control on internal combustion engines has historically been seen as an important way to improve fuel economy and reduce CO2 emissions, but also to reduce harmful tailpipe emissions. More recently, it is viewed as an important part of achieving stable operation of IC engines running on zero carbon fuels. Combustion control requires knowledge of the instantaneous cylinder pressures, which often show considerable cycle-by-cycle variability owing to the stochastic nature of combustion. Direct measurement of cylinder pressure is achievable using in-cylinder pressure sensors, fitted routinely for engine development and test programmes, or in high-value motor sport. Commercial pressure sensors are however expensive, and are generally designed to endure the very hostile in-cylinder conditions for only relatively limited duration without need of servicing and recalibration. Direct sensing, therefore, involving commercial pressure sensors on production engines, is still problematic. Effort has been devoted over the past 25 years on finding a suitable indirect way of reconstructing engine cylinder pressure.

This talk will discuss the use of inverse modelling techniques that have been adopted to exploit engine crank dynamics, block vibrations, and acoustic emissions, all of which can be measured with relatively inexpensive sensors.


Professor Julian Dunne, University of Sussex

Julian Dunne is a Professor of Mechanical Engineering and Head of the Dynamics, Control, and Vehicle Research Group at the University of Sussex. His main research interests are on the dynamics and control issues associated with low CO2 road transport i.e.: Vehicle, Engine, and Rotor Dynamics; Noise, Vibration, and Harshness issues; Nonlinear dynamic analysis and inverse modelling using conventional and artificial neural network models. His application interests include Extended Range Electric Vehicles, IC engine combustion control, and Optimal control of KERS. In recent years, his research has been funded externally by the EPSRC, the EU, the UK Government, Jaguar Land Rover, and Ricardo, with significant support also from CDH AG, Ford, and Denso. Professor Dunne has 84 publications; is an Editorial Board Member of the Journal of Sound and Vibration , the Journal Vehicles , the Journal of Autonomous Intelligence , and a Fellow of IMechE.

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+44 20 3794 0272,,300843696# United Kingdom, London

Phone Conference ID: 300 843 696#

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