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Thesis - Development of Electro-Chemical-Mechanical Battery Models
Aktualität: 22.02.2024


22.02.2024, AVL List GmbH
Thesis - Development of Electro-Chemical-Mechanical Battery Models
The automotive industry's role in curbing carbon emissions and addressing climate change is vital. Electric vehicles offer an efficient and eco-friendly transportation solution. Understanding automotive batteries is key to enhancing their performance and reliability. Electro-chemical-mechanical models help capture the intricate dynamics of battery performance, aging, and mechanical impacts. This master's thesis opportunity involves developing and validating precise electro-chemical-mechanical models using the Python tool PyBaMM, an open-source resource enabling tailored modeling of lithium-ion batteries and their aging processes. WHAT WE OFFER YOU: Review state-of-the-art electro-chemical-mechanical modeling approaches for automotive batteries. Investigate the fundamental electrochemical aging processes and their coupling with mechanical deformation and cell thickness growth (swelling). Develop mathematical and computational models for battery behavior under different mechanical conditions. Validate the developed models using experimental data.
Strong proficiency in Python Knowledge of battery technology is a plus Experience in mechanical FEA simulations is beneficial but not required High level of self-reliance with the ability to work in a team, as well as autonomously Fluent English language skills are essential, fluent German is beneficial WHICH STUDY TRACKS WE PREFER: You are successfully studying in a masters program (FH/UNI) in the field of: Engineering Technical (computer science) or Natural science studies (physics, mathematic ...)


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Thesis - Development of Electro-Chemical-Mechanical Battery Models