Live opening · Posted 1 day ago
The key details from the original listing.
Description supplied by the original job listing.
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
Employment type
Full-time
Work arrangement
No
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