We are looking for a candidate for a master’s thesis project (30 hp) focused on developing predictive cooling functionality for electric machines, to improve efficiency and extend the lifespan of electric machines.

 

Background:

As the automotive industry transitions towards electrification, maintaining the efficiency and reliability of electric machines becomes critical. Electric vehicles (EVs) are at the heart of this shift, and with increased demand for high performance and longevity, there is a growing need to optimize their cooling systems.

 

Target:

The main objective of this master’s thesis is to create a model for control of cooling system in the electric machine based on insights from the road data, thereby optimizing the life length of the unit.

 

Scope and Task:

The focus areas of the project include:

 

Data Collection and Analysis: Collect and analyze data to assess the cooling requirements of electric machines under various driving conditions Predictive Algorithm Development: Create an algorithm that predicts cooling needs in real-time,enhancing efficiency and reducing thermal stress. The result should be a Simulink model. System Integration, testing and validation: Enhance the vehicle’s cooling system control strategy by incorporating the predictive algorithm.

 

What we offer:

Hands-on Experience: Work on real-world projects with direct applications in the automotive industry. Mentorship: Collaborate with experienced professionals and researchers. Innovation: Contribute to the development of advanced algorithms and techniques that will shapethe future of vehicle performance. Professional Growth: Gain valuable skills and knowledge that will enhance your career prospectsin automotive engineering and related fields. Collaborative Environment: Join a group of engineers developing software for the control andsafety of electric machines.

 

Requirements:

Currently enrolled in a master's program in Vehicle engineering, electrical engineering,mechatronics engineering, or a related field. Experience with MATLAB and/or Python Ability to work independently and as part of a team.

 

Contact persons and supervisors:

Edvin Johansson, development engineer – edvin.x.johansson@scania.com

Vaheed Nezhadali, group manager - vaheed.nezhadali@scania.com

Application:

Your application must include a CV, personal letter, and transcript of grades.

 

A background check will be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified. The project will be carried out at Scania Technical Centre (STC) in Södertälje.