What will you do as a PE Controls Engineer?
At Lightyear we are working on a new type of power converter to convert solar energy from PV panels on vehicles to their batteries. The converter is a multiple port converter (MPC) that is able to convert energy from multiple solar panels to multiple batteries. By intelligent combining several functions, this topology allows for a reduction in component count and improvement in efficiency.
You will be responsible for modelling the converter and developing the optimal control strategy for this type of converter. One of the main challenges is the high number of ports in the converter that can disturb your control compared to conventional multi-port power converters.
You will have to try multiple control strategies to discover which one works best in your simulations. It should of course also be possible to implement the controller in the actual power converter. This will be the next step in your job: implementing the controller on a working hardware prototype to see how your strategy works in real life.
In parallel you will also be working on developing an MPPT algorithm for the converter.
Later on you will also have to build an algorithm that maximizes the solar yield at vehicle level, considering the power usage of all components in the vehicle.
Furthermore, you will be responsible for:
Modelling power converter control model in simulink for the converter.
Validating models on the actual power converter
Developing a controller for the power converter
Develop algorithms for optimizing conversion strategy
Validating control system performance on the actual power converter
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Validating conversion strategy algorithm on test setup
A day as a PE Controls Engineer
You will start the day with a quick meeting regarding all the open topics in the project and the progress you made and where you are stuck.
After that, you work in Matlab/Simulink (or your favorite alternative) to do physics based system identification and model validation, model-based control design, and simulations of the closed-loop control system. Besides model-based control engineering, you will perform your own measurements in our lab for system identification and model validation, and to assess the developed control system performance.