Master Thesis within Algorithms

We are now looking for master students within engineering and physics that are interested in doing their thesis project at our Battery Competence Center, Advanced Development Department. 

This thesis project is exclusively available to master’s students at Linköping University. As part of a collaboration between Linköping University’s Department of Vehicular Systems (FS) and Husqvarna’s Battery Competence Center.

Husqvarna’s robotic lawnmowers have significant advantages: their owners save a lot of time, the lawn quality becomes very good, and the robots are very quiet and consume much less energy than conventional lawnmowers. 

The objective 

To avoid that time for lawn care is lost due to unexpected battery failures, the owner shall be informed in advance when the battery needs to be replaced. Therefore, it is necessary to predict the remaining battery lifetime. The prediction of the remaining lifetime shall also avoid that batteries are replaced earlier than necessary. Without such a prediction, the owner of a robotic mower who wants to be sure to avoid an unexpected failure will in most cases replace the battery when it still has a significant remaining lifetime.

This thesis project shall investigate possibilities to create algorithms for such a prediction. 

Proper area of education 

Several engineering disciplines as well as physics may form a suitable background for this thesis project.

A general knowledge of battery technology and especially of the properties and behavior of lithium ion battery cells is required.

The student also needs to be familiar with numerical mathematics and should have implemented a few numerical algorithms as part of his/her education or previous experience.

Knowledge of Bayesian statistics and machine learning can be a merit depending on how to best evaluate the data.

The thesis will include work such as 

Husqvarna’s robotic lawnmowers have been sending information about their batteries to the cloud for several years. Possibly promising algorithms and the available data shall be reviewed in the first half of this thesis. In the second half, the student shall implement an algorithm and test it on a selected dataset.

This project is a cooperation between the department of Vehicular Systems (FS) at Linköping university and the Battery Competence Center (BCC) at Husqvarna AB 

How to apply
Please send in your application with CV and cover letter no later than November 18th. Due to GDPR, we do not accept applications by email.

Start date of the thesis project is in the beginning of 2025.

For questions regarding the thesis project please contact:
Sören Kahl, [email protected]

Read about Husqvarna Group here:
https://www.husqvarnagroup.com/

Husqvarna Group is a world-leading producer of outdoor power products for garden, park and forest care. Products include chainsaws, trimmers, robotic lawn mowers and ride-on lawn mowers.  

The Group is also the European leader in garden watering products and a world leader in cutting equipment and diamond tools for the construction and stone industries. The Group’s products and solutions are sold under the main brands Husqvarna & Gardena that serve professionals in more than 140 countries. Net sales in 2023 amounted to SEK 53 billion and the Group has around 14,000 employees in 40 countries

Last date to apply:

15 December 2024