Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.
Thesis project at Scania is an excellent way of making contacts for your future working life. Many of our current employees started their career with a thesis project.
To meet Scania’s customers wishes for vehicles with low NOx, particles and CO2 emissions Scania are developing spark ignited (SI) gas engines.
One property of the SI engine is that under certain circumstances it can have issues with misfire, i.e. failing to ignite the fuel in one or more cylinders. This can be due to any number of reasons such as poor fuel metering, worn spark plugs etc. Repeated misfires can cause emission levels to rise as well as damage the exhaust aftertreatment system.
Physical quantities to look at regarding misfire detection are typically flywheel rotational speed, exhaust manifold pressure or spark plug ion current. Examples of common analysis methods are various kinds of pattern recognition approaches and frequency analysis.
To investigate and evaluate concepts for misfire detection in spark ignited gas engines.
The thesis will start with an investigation of methods for misfire detection. This shall be done using research literature as well as using knowledge within the Volkswagen Truck and Bus group.
The main focus of the thesis will be to from the concept study develop and implement a selection of misfire detection algorithms and evaluate these on engine measurements of misfire events.
The implementation and evaluation of the selected detection algorithms will be done offline on measurements provided by Scania. If needed additional vehicle/test bed measurements will be made together with the thesis student during the project.
Specify education or specialisation: Suitable candidates for the thesis are master students within engineering physics, electrical engineering, vehicular engineering, or mechatronics. The thesis student should be skilled in model development and signal processing and be proficient in MATLAB/Simulink. An interest in internal combustion engines is a plus.
Number of students: 1
Start date: mid-January 2019
Estimated time needed: 20 weeks
Contact persons and supervisors:
Johan Thornblad - SI Engine Control Systems, 08 553 80750, firstname.lastname@example.org
Björn Nybäck - Engine Gas Flow Control, 08 553 53192, email@example.com
Your application should contain a covering letter, CV and transcripts.
Selections will be made throughout the application period.