SCANIA CV AB · Publicerad 23 nov 2021

Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.

Efficiency, emissions, safety and uptime are the crucial factors that development engineers in the automotive business strives to improve. The proposed study is a part of this continuous improvement towards perfection of the Scania products. At Scania, several temperature sensors are used to monitor the aftertreatment system and provide the required signals for different control systems and also to protect the system from thermal events. An reliable virtual sensor is required to be developed to make a more accurate diagnostics of real sensors and improve the robustness of the whole system.

As the leading heavy duty manufacturer Scania strives to continuously improve the value for its customers. Major value adders are state of the art emission reduction technology and among the lowest green-house gases footprint among conventional drivetrains. To improve these value adders even further Scania intends to test a new concept of sensor diagnostics by implementing the virtual sensor concept with focus on machine learning.

Using data from Scania test vehicles, test cells and testbenches as well as the in house experience of the current control and diagnostics system, a virtual sensor approach is to be tested on Scania’s HTS sensor systems.
Collecting the real time data in each time-step and allowing the virtual sensor model to evolve as the vehicle ages are key ingredients in this approach. A suitable machine learning algorithm should be implemented to estimate an accurate value very close to the real sensor. The model should be trained based on the real input data and develop a pattern to predict the discrepancy between the sensor and the model estimation in the early stages of fault emersion.

The ideal thesis student has a high degree of logical thinking, absorbs new knowledge, shows initiative, works in a systematic way and takes new social contacts with ease. We believe the student has grades (with honors) in one or more of mechanical engineering, combustion engine technology , energy technology and/or mechatronics. Previous experience on thermal system modelling, programming (Matlab/Simulink, C) and software design is advantageous. Educational background as 2nd cycle student aiming at a major in Mechanical- or Vehicular-engineering alternatively engineering physics.

Contact persons and supervisors:
Hamid Nabati, Development Engineer,, 08-55372159
Robin Nyström, Head of Engine aftertreatment control,, 08-55372431

Your application should contain a covering letter, CV and transcripts.
Selections will be made throughout the application period.
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Om företaget
Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2020, we delivered 66,900 trucks, 5,200 buses as well as 11,000 industrial and marine power systems to our customers. Net sales totalled to over SEK 125 billion, of which over 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 50,000 people. Research and development are mainly concentrated in Sweden. Production takes place in Europe and Latin America with regional product centres in Africa, Asia and Eurasia. Scania is part of TRATON GROUP.
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Sista ansökningsdag
19 dec 2021
Antal Tjänster
Teknik & Ingenjör

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