Mandatory Internship in State of Health Aware Bidirectional Charging Algorithm Development

During your internship, you will get acquainted with the topic of State of Health (SOH)-aware Vehicle-to-Everything (V2X) charging. This involves optimizing battery charging/discharging costs while considering battery ageing.

• During your internship, you will get acquainted with the topic of State of Health (SOH)-aware Vehicle-to-Everything (V2X) charging. This involves optimizing battery charging/discharging costs while considering battery ageing.
• You will design and develop an embedded-capable algorithm for optimizing battery charging based on SOH models. This includes creating a simplified State of Health model, as well as implementing optimization strategies.
• In addition, you will build a simulation environment in MATLAB/Simulink to test and validate your algorithm.
• Furthermore, you will document your work, including the developed algorithms, simulation results and findings.
• Last but not least, you will actively participate in team discussions and present your progress regularly.

• Education: studies in the field of Mechatronics, Electrical Engineering, Control Engineering, Computer Science or comparable
• Experience and Knowledge: good understanding of control engineering concepts and practices; strong mathematical background; experience in programming, ideally with MATLAB/Simulink
• Personality and Working Practice: you are a motivated, proactive team player with conceptual thinking skills, the ability to express ideas clearly and the capacity to work independently, as well as in a structured manner
• Work Routine: your on-site presence is required
• Languages: business fluent in English or German
• Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.