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Thesis Worker: Mechanical modelling of Li-ion batteries

Thesis Worker at Volvo Cars 
Welcome to explore the world of Volvo Cars by writing your thesis with us! As a thesis worker in our organization you are supported by a supervisor who follows you during your project. All thesis projects are arranged in business critical areas and therefore you will be able to contribute to our company purpose – providing freedom to move in a safe, sustainable and personal way – from day one!

 

About this opportunity – Background

At Volvo Cars, efficient design solutions for energy storage systems are being explored and designed. In a foreseeable future, Lithium-ion (Li-ion) batteries is the dominating solution for energy storage within such systems. For EV applications, the mechanical response of the battery cells is critical for the design of the battery pack. For example, it plays a vital role when evaluating the crash worthiness.
 

This thesis project aims to investigate and model the mechanical response of Li-ion batteries, focusing on the deformation behavior, mechanical integrity, and stress distribution under various conditions. The project will be undertaken by two master students, who will collaborate closely to develop predictive models for different battery types and loading conditions. The focus of the thesis will be on: (i) Exploring strategies for Finite Element (FE) model representation of different cell geometries and designs; (ii) Evaluating the effects of load velocity and state of charge (SOC) on the mechanical response of the cells; (iii) Study how CT-scan data of cells can be used to improve the reliability of FE-model representations of the battery cells. The work will build up on state-of-the-art modelling tools available at Volvo Cars and previous thesis work done at the department.

 

Scope of the Master Thesis:

  • Evaluate modelling tools available at Volvo Cars for predicting the mechanical response of battery cells

  • Explore FE-model representation for different cell geometries and designs

  • Study the influence of load velocity and state of charge (SOC) on the mechanical response of battery cells

  • Analyze CT-scan data of cell geometries and study methods for converting CT-scan data to FE-model representation

  • Perform sensitivity analysis to study the influence of various model parameters

What you´ll bring

We are looking for students pursuing a Master of Science degree in applied mechanics, applied physics, mechanical engineering, or similar, to qualify. A genuine interest and curiosity in the subject matter and excellent analytical skills are needed. The ideal candidate has a background in computational mechanics and FE analysis. Further, you have a big interest in batteries and electric vehicles.

Main part of the work to be done on site at Volvo Cars R&D location in Torslanda, Göteborg, Sweden.

 

Duration

  • The work will start in January 2025

  • The duration for this thesis work is 20 weeks

  • 30 ECTS

  • This thesis is to be conducted by 1-2 students

 

 

Be part of the change – apply today!

Applications should include  your CV and a brief personal letter stating your interests within the given area and your thoughts and credentials. We are continuously screening applications and will fill the position as soon as we find a good match. So do not hesitate to send in your application.

 

Apply as soon as possible but no later than  2024-10-04

Please note that due to GDPR applications via email will not be accepted.

If you want more information about the project or simply learn a bit more about the team, please reach out to:

Manager, Marie-Louise Holmer at marie-louise.holmer@volvocars.com

Supervisor, David Carlstedt at david.carlstedt@volvocars.com

 

Volvo Cars - Driving change together

Volvo Cars’ success is the result of a collaborative, diverse, and inclusive working environment. Today, we are one of the most well-known and respected car brands, with around 43,000 employees across the globe. At Volvo Cars, your career is designed around your skills and aspirations, allowing you to reach your fullest potential.

Gothenburg, SE, 40531

Job requisition ID:  73108

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