Scania

30 credits - Machine-Learning Based Load-Change Detection for Heavy Vehicles

Rekryterare
Scania
Plats
Sodertalje, Stockholm
Annonserat
den 17 september 2019
Stängs
den 30 november 2019
Ref:
20193661
Kategori
Övriga jobb
Anställningsform
Tillsvidare
Sysselsättning
Heltid
Carrying out a 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 within the company.

Background
Information about total weight and weight distribution (between the wheels) is used by many electronic systems in modern heavy vehicles. For example, the braking system uses this to distribute the correct braking effort at each wheel, making the mass estimation a safety-critical functionality. Several sensors and algorithms are used to estimate the mass properties in different ways, but are not always quick enough when the truck is being loaded or unloaded, which can lead to unpredictable braking performance and hazardous incidents.

Assignment
The project assignment is to develop a system that quickly detects or predicts changes in the vehicle's weight, by using currently available sensors and information in Scania trucks. This system will have the most value for vehicles that are exposed to large and frequent load changes, which often are vehicles operated in a cyclic manner. By analyzing location data (e.g., GPS) from these vehicles with driving pattern recognition and machine learning algorithms, the system should be able to predict when and where the vehicle load will change. If fused with sensor information (from e.g., accelerometers) and historical vehicle mass data (from other mass estimation functions), a good guess of the new vehicle weight and weight distribution is also possible.

The project will require a theoretical survey of applicable methods, test design, and planning, as well as extensive data processing and analysis.

Education
Preferred experience and competence of applicants:
  • Mechanical engineering, applied physics, electrical engineering, vehicle engineering, or similar.
  • Machine learning and pattern recognition
  • Signal processing
  • Sensor fusion
  • Scripting/programming (e.g., MATLAB)


Number of students: 2
Start date: January-February 2020
Estimated time needed: 20 weeks

Contact person

Linus Flodin, 08-553 71405
Application
Enclose CV, personal letter, and school-leaving certificate. If you are applying in pairs, send in separate personal applications in which you state your preferred colleague. Selections will be made throughout the application period.

Scania är en världsledande leverantör av transportlösningar. Tillsammans med våra partners och kunder driver vi omställningen till ett hållbart transportsystem. 2018 levererade vi 88 000 lastbilar, 8 500 bussar samt 12 800 industri- och marinmotorer till våra kunder. Nettoomsättningen uppgick till mer än 137 miljarder kronor, varav cirka 20 procent var tjänsterelaterade. Scania grundades 1891 och är idag verksamt i fler än 100 länder och har cirka 52 000 medarbetare. Forskning och utveckling är koncentrerad till Sverige, med filialer i Brasilien och Indien. Tillverkning sker i Europa, Latinamerika och Asien, med regionala produktionscentrum i Afrika, Asien och Eurasien. Scania är en del av TRATON SE. För mer information besök: www.scania.com.

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