Thesis: Model-predictive Control of a Fuel Cell - Stuttgart, Deutschland - H2FLY GmbH

H2FLY GmbH

Geprüftes Unternehmen

Stuttgart, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Review of the existing prototype implementation in MATLAB/Simulink and CasADi

Implementation on embedded hardware
Setup, execution and analysis of HiL tests
Adaption to realworld challenges
Optional: Augmentation to coupled HT/LT cooling system control
Optional: Design of potentially necessary state estimators

Background information
Optimal cooling of the fuel cell stack is critical to the efficiency and performance of the entire propulsion system. Optimal multi-input, multi-output control of the high-temperature (HT) cooling circuit provides an ideal entry point for implementing an MPC. Therefore, the objective is to design, implement and evaluate an MPC for this subsystem, to start with. The posted thesis builds on an on-going (as of Mar master's thesis. The existing, prototype implementation of an MPC for HT cooling control shall be ported to embedded hardware. The objective is to perform the proof of concept by means of a Hardware-in-the-Loop (HiL) simulation. The MPC implementation shall be adapted to real-world challenges. Optionally, the MPC approach shall be augmented to address the control problem of a coupled high-temperature/low-temperature (HT/LT) cooling system.

You are currently studying cybernetics, computer science, mechanical engineering, electrical engineering, or aerospace engineering.
Completed bachelor's degree or intermediate diploma in cybernetics, computer science, mechanical engineering, electrical engineering, or aerospace engineering.
Indepth knowledge in modelbased (multivariable) control/optimization
Good programming skills in MATLAB/Simulink as well as C/C++
Ideally practical experience in SW development for embedded HW