Electro-Chemical-Mechanical Battery Model Developer
vor 2 Wochen
We are seeking a highly motivated master's student to develop and validate precise electro-chemical-mechanical models for automotive batteries using the Python tool PyBaMM. This thesis opportunity is part of our ongoing research in enhancing battery performance and reliability.
Responsibilities:
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.
Your Profile:
Ongoing master studies in the fields of Engineering, Technical (computer science) or Natural sciences (physics, mathematics).
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.
We Offer:
The opportunity to write your thesis independently and receive professional guidance and support from our experienced employees.
The chance to exchange ideas with experts in the company and benefit from their expertise.
The possibility to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment.
A one-time fee of EUR 3,500 before tax for the successful completion of the thesis.
About AVL
AVL is one of the world's leading mobility technology companies for development, simulation, and testing in the automotive industry, and beyond. We provide concepts, solutions, and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.
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