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 modelssuch as SPMe ECM or simplified PyBaMM modelsand 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.

Qualifications :

• 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

Additional Information :

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 Bachelors degree and would like to gain some practical experience before embarking on your next academic adventure with a Masters 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)

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Remote Work :

No

Employment Type :

Full-time