Master Thesis Battery Aging Optimization for Vehicle-to-X Applications
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Job Description
• 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.
Requirements
Function: Research
Experience Level: Not Applicable