Pflichtpraktikum in der Entwicklung eines gesundheitsbewussten bidirektionalen Ladealgorithmus für den Zustand (State of Health) (w/m/div.)
Core
Develop an embedded-capable algorithm for State-of-Health (SOH)-aware Vehicle-to-Everything (V2X) charging to optimize battery charging/discharging costs while accounting for battery aging.
Role type
Embedded algorithm engineer (battery optimization)
Builds
SOH models and optimization strategies for battery charging
Domain
Automotive / Battery management / Embedded systems
Deliverable
production ML models
Required skills
Control theory concepts, Mathematical modeling, MATLAB/Simulink, Embedded algorithm development
Preferred skills
Programming experience, Simulation environment setup
Responsibilities
Design and develop embedded algorithms for battery charging optimization, Create simplified State-of-Health models, Build and validate algorithms in MATLAB/Simulink simulation environment, Document algorithms and simulation results
Seniority
Intern
