Thesis work: 30 hp - Predictive Modeling for Electric Powertrain
Om jobbet
Introduction
A thesis project is an excellent way to get closer contact with Scania and build relationships for the future. Many of today's employees began their Scania careers with their thesis work.
Background
At TRATON Group R&D we are developing the next generation of heavy-duty electric drivelines. Today, we use advanced physical models that continuously predict critical parameters such as stator winding temperature, which are also implemented in our driveline control systems. These models are crucial for performance, efficiency, and durability.
As we move forward, we want to explore new methods to extend these predictive capabilities beyond today's scope.
Thesis scope
The aim of this thesis is to investigate and evaluate methods for predictive modeling of additional functions within electric drivelines. Potential focus areas include (but are not limited to):
A promising direction could be to explore the use ofneural networksor other advanced algorithms alongside traditional physical modeling. The long-term vision is to build acomplete virtual modelcapable of predicting driveline behavior without the need for physical testing.
Your Contribution
As a master thesis student, you will:
What We Offer
Profile
We are looking for a motivated and curious student in the final phase of a M.Sc. in Applied Physics, Computer Science, IT, Engineering Physics or similar. You should have:
Practical information
Contact person and potential supervisor
Roger Reuter, Senior Test Engineer, TRATON group R&D, roger.reuter@scania.com
Application
Enclose CV, personal letter and transcript of records.
A background check may be conducted for this position. We review applications continuously and may close the recruitment process earlier than the stated date.
Requisition ID: 22435
Number of Openings: 1.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country/Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0%
Workplace: On-site
A thesis project is an excellent way to get closer contact with Scania and build relationships for the future. Many of today's employees began their Scania careers with their thesis work.
Background
At TRATON Group R&D we are developing the next generation of heavy-duty electric drivelines. Today, we use advanced physical models that continuously predict critical parameters such as stator winding temperature, which are also implemented in our driveline control systems. These models are crucial for performance, efficiency, and durability.
As we move forward, we want to explore new methods to extend these predictive capabilities beyond today's scope.
Thesis scope
The aim of this thesis is to investigate and evaluate methods for predictive modeling of additional functions within electric drivelines. Potential focus areas include (but are not limited to):
- Oil pressure prediction
- Thermal behavior of components
- Cooling efficiency and system dynamics
- Combination of physics-based models and machine learning approaches
A promising direction could be to explore the use ofneural networksor other advanced algorithms alongside traditional physical modeling. The long-term vision is to build acomplete virtual modelcapable of predicting driveline behavior without the need for physical testing.
Your Contribution
As a master thesis student, you will:
- Review state-of-the-art methods for predictive modeling (physics-based & data-driven).
- Develop and validate models using real test data from electric powertrain.
- Explore the integration of your models into existing control frameworks.
- Deliver recommendations on the feasibility and accuracy of hybrid predictive approaches.
What We Offer
- A unique opportunity to contribute to the electrification of heavy transport within the TRATON Group.
- Access to cutting-edge test facilities and real-world driveline data.
- Close supervision by experienced engineers.
- The chance to shape future driveline development methods.
Profile
We are looking for a motivated and curious student in the final phase of a M.Sc. in Applied Physics, Computer Science, IT, Engineering Physics or similar. You should have:
- Strong interest in modeling, simulation, and control systems.
- Knowledge in machine learning and/or physics-based modeling.
- Programming skills (e.g. Python, MATLAB, or similar).
- Data analysis
- Understanding of Physics around e-Propulsion drive units.
- Analytical mindset and ability to work independently.
Practical information
- Scope: 30 HP (Master Thesis, 20 weeks full-time)
- Start date: Flexible (please indicate preferred timeline in application)
- Location: Scania Technical Center, Södertälje, Sweden
Contact person and potential supervisor
Roger Reuter, Senior Test Engineer, TRATON group R&D, roger.reuter@scania.com
Application
Enclose CV, personal letter and transcript of records.
A background check may be conducted for this position. We review applications continuously and may close the recruitment process earlier than the stated date.
Requisition ID: 22435
Number of Openings: 1.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country/Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0%
Workplace: On-site
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