Master Thesis Battery Aging Optimization for Vehicle-to-X Applications

• During your thesis, you design, implement, and validate an innovative predictive energy management algorithm for advanced Vehicle-to-Grid/Home (V2X) applications. • Furthermore, you optimize daily energy flows to ensure maximum efficiency while proactively minimizing the degradation of vehicle batteries. • You resolve the complex trade-off between short-term economic gains as well as the long-term preservation of battery State of Health (SoH). • In addition, you select appropriate battery aging models—such as SPMe, ECM, or simplified PyBaMM models—and integrate them seamlessly into the optimization process. • Lastly, you validate your models using a data-driven approach, leveraging both publicly available and confidential internal datasets. • Education:  Master studies in the field of Electrical Engineering, Computer Science, Energy Engineering, or comparable • Experience and Knowledge: sound technical knowledge of battery technologies and battery degradation mechanisms; proficient use of Python for development and analysis; expertise in optimization algorithms and methods • Personality and Working Practice: you enjoy working independently on complex issues and possess a high level of intrinsic motivation to develop innovative solutions • Work Routine: with us, you benefit from a hybrid model that enables you to work both in the office and remotely • Enthusiasm: you demonstrate a strong willingness to learn and find joy in discovering and integrating new technologies and concepts • Languages: fluent in English Start: according to prior agreement Duration: 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit. You are almost finished with your Bachelor's degree and would like to gain some practical experience before embarking on your next academic adventure with a Master's degree? Then you fit in perfectly well with our  PreMaster Programm ! Take a look at our vacancies  here . Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Paul Haffner (Functional Department) +49 7121 35 0 Work #LikeABosch starts here: Apply now! #LI-DNI