Student for thesis Characterisation of Solid-State Diffusion in Graphite for P2D Models
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Job-ID: MER0003XLT
Aufgaben
P2D models are ideal for predictions of electrochemical behaviours of cells for electric vehicle application since they strike the right balance between complexity and predictive power. Within the P2D modelling framework, the process of solid-state diffusion in anode materials such as graphite is not fully understood. Solid-state diffusion is a key process that critically influences the overall kinetics and hence affects the rate capabilities of a cell. Known methodologies of modelling and characterisation, generally implemented in cathodes does not fully work in anodes such as graphite due to the occurrence of phase transitions which necessitates alternative methodologies. Overpotentials due to solid-state diffusion in graphite can be isolated by using special electrodes and their variations. The isolated overpotential can then be fitted to characterize the solid-state diffusion behaviour and implemented in a P2D model.
Contents of the Master's Thesis
Main goal: Development of a method to describe the process of solid-state diffusion in graphite anodes and implementation within a P2D model.
- Building graphite half cells (EL cells) of different electrode variations such as thin model electrode, thickness variations and particle size variations.
- Perform C-Rate tests at different temperatures to identify and isolate overpotentials due to solid-state diffusion.
- Fitting of measured C-Rate curves to simulation to obtain a set of effective solid state diffusion coefficients.
- Use the obtained solid-state diffusion coefficients to capture the C-rate behaviours of all electrode variations.
The final topic determination takes place in consultation with the university, you and us.
The activity can begin from April 2026.
Profil
- Study: Engineering/Natural Science or anything comparable
- Basics of electrochemistry or electrical engineering
- Laboratory experience
- Interest to work on cell assembly and testing in the laboratory
- Basic levels of programming
- Basic familiarity with MATLAB
Additional Information:
We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.
You can find further information on the hiring criteria here.
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HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).
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