Job description
We are looking for a team member that helps expanding and strengthening our existing fuel cell system control and simulation algorithms. The control strategy on the hydrogen (anode), air (cathode) and thermal management side of fuel cell system has mayor effects on system lifetime and efficiency. Within the development team the control engineer will closely work together with all other disciplines on improving the overall system performance.
Responsibilities
● Literature study, research, implementation and simulation regarding the development of models of physical systems/components in Python and/or communication with simulation engineers developing or refining these models. Models include the fuel cell stack itself and many anode, cathode and cooling components, as well as overall system models.
● Design of controllers responsible for controlling the flows, pressures and speeds in the fuel cell system, over a wide range of environmental conditions over the full system lifetime. Design ranges from conceptual architecture to detailed design with elaborate simulations coupled to plant models and optionally implementation and testing on the target hardware.
● Communication with software engineers about the implementation of controllers in the C language on the target hardware and (optionally) directly writing C code, contributing to the final implementation of the controllers.
● Functional safety analysis of developed controllers, design of diagnostic functions.
● Documentation of the design, implementation and testing process for the various controllers comprising the overall fuel cell control system.
● Data analysis of testing results, including detailed validation of aforementioned Python models. ● Coupling findings and system improvements arising from controller design and/or plant model insights back to fellow development engineers.
● Performing studies regarding implementation of fuel cell systems in different applications. Solving optimization problems, involving application and vehicle load profile analysis and elaborate operational models in order to find the optimal conceptual fuel cell and battery configuration/design.
● Optimizing component and subassemblies of the fuel cell system, using modeling and optimization techniques, potentially using the aforementioned models.