Using High-Speed Sampling for Evaluating Sensor Signals for Fuel Estimation in Common-Rail Injection Systems

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dc.contributor.authorAskari, Amir
dc.contributor.authorNiemand, Mathias
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T14:22:02Z
dc.date.available2019-07-03T14:22:02Z
dc.date.issued2016
dc.description.abstractThe minimization of fuel consumption has always been a desirable topic for vehicle manufacturers. There has been research to optimize the engines in several different ways; such as investigating different kinds of fuel, changing engine characteristics and investigations of programmed applications which can be introduced to the engine. There have also been investigations of which different applied injection patterns are most effective for the emissions and engine performance. An engine can operate either with just a main injection or a mixed injection with different setup for pre, main and post injections. Volvo Group Trucks Technology has decided to investigate possibilities to provide a hardware application in the form of a measuring system for fuel estimation by using signal processing from different sensors in the truck engine. This estimation has to be done in both low and heavy engine-load conditions to be sure that the control is suitable for all operating scenarios for the truck engine. The scope of this master’s thesis is to implement a baseline hardware measuring system using the rail-pressure signal to estimate the injected fuel amount that is compatible with the new microprocessor (method and tool support) that will be implemented to the new product for Volvo. The measuring system is based on using a delta-sigma method for signal processing which is available on the microprocessor. The benefit of using a delta-sigma method for sampling is the noise shifting characteristic which provides the possibility to achieve clear results from the sampling. In this project, several setups with different levels of fuel injection, high-pressure target in the high-pressure part of the injection system and engine speed have been investigated. To have an outline, the injection pattern was limited to one main injection without pre- or post injection. To estimate the quantity of injected fuel in each injection, which is equal to the amount of fuel consumed during the injection, a model has been implemented in MATLAB and Simulink to prove the possibilities of this application of the measuring system. This project has also implemented a real-time system for detection of the rail-pressure drop in Eclipse for evaluation of how the delta-sigma ADC on the evaluation board behaved. This proof of concept opens up a basis for further investigation of real-time system implementation.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/244761
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectInformations- och kommunikationsteknik
dc.subjectData- och informationsvetenskap
dc.subjectInformation & Communication Technology
dc.subjectComputer and Information Science
dc.titleUsing High-Speed Sampling for Evaluating Sensor Signals for Fuel Estimation in Common-Rail Injection Systems
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeEmbedded electronic system design (MPEES), MSc
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