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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!
Predicting short circuit of Li-ion battery cells during mechanical abuse using Finite Element method
Background
Li-ion batteries is today the dominating solution for energy storage in electric vehicles (EVs). A key aspect in the EV design is safety. For example, in the case of a car crash, mechanical deformation of the battery cells can lead to electrical short circuits that may end up in potential safety issues. It is therefore crucial to minimize the risk for such events in the EV design.
The physical cause for short circuiting is the occurrence of electron transfer between the cathode and anode materials inside the battery cell. Such event can be triggered by internal causations (e.g. lithium dendrite growths), or by external abusive scenarios, e.g. mechanical, electrical and thermal abusive cases. In this thesis, the main focus will be on mechanical abusive scenarios associate with EV application. Modelling strategies, using Finite Element (FE) analysis, for predicting short circuit in battery cells due to mechanical loading will be studied. The work will build up on state-of-the-art mechanical battery models and pre-studies on short circuit modelling available at Volvo Cars.
Scope of the Master Thesis:
• Evaluate modelling strategies for predicting short circuit in battery cells due to mechanical abuse conditions available in the literature.
• Study failure criteria for short circuiting linked to mechanical loading.
• Set up FE-model(s), based on selected methodology, for combined mechanical and electrical analysis of single battery cells.
• Analyze available material/cell data and study the influence of the model parameters.
• (If available) compare numerical predictions with experimental data.
Profile
We are looking for motivated students pursuing a Master of Applied Mechanics or similar. A genuine interest and curiosity in the subject matter and excellent analytical and communication skills, both oral and written English, are needed. The ideal candidate has a background in analytical work, including structural simulations (FEM).
Duration
• The duration of the Thesis is 20 weeks
• The Thesis starts in Jan 2024
• 30 ECTS (academic credits) if in agreement with your Thesis Advisor in University
• This thesis is suitable for 1- 2 students
How to Learn More and Apply
Selection will be ongoing during the application period, so do not hesitate to send in your application. Attach your resume and cover letter stating your interests within the given area and your thoughts and credentials. Please note that due to GDPR applications by email will not be accepted.
If you have any additional questions regarding the position, you are welcome to contact:
Recruiting Manager, Marie-Louise Holmer at marie-louise.holmer@volvocars.com
Please register your application 15th of Oct at the latest.
We are Volvo Cars
Volvo Cars is a company on a mission to bring traditional car manufacturing into a connected, sustainable and smart future. Since 1927, we've been known for our commitment to safety and for creating innovative cars that make life less complicated. In 2010, we decided to radically redefine our business, resulting in a totally new generation of cars and technology, as well as steady growth and record sales - and we're only getting started. By 2025, we aim to have yearly sales of 1.2 million cars, 50% of which will be electric vehicles and sold directly to customers through digital channels. We also intend to strengthen our position as a modern, progressive employer committed to diversity and gender and racial equality. We believe in the power of people. Join us and be part of Volvo Cars' transformation.
26-03-2025
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