Advanced prototyping for electrical vehicle components (+ internship at Siemens) | BEAMS

Advanced prototyping for electrical vehicle components (+ internship at Siemens)

Project information
Project type: 
Master thesis
Academic year: 
Research unit: 
Electrical Energy
BEAMS supervisors
Academic promoter
External supervisors
Mathieu Sarrazin
Industrial promoter

Project summary:
It is clear that improved safety, faster development and better energy flow aspects become more and
more critical in the different development stages of electrical vehicles (EV). At the moment, many
driveline components were simply connected to each other without taken into account the real driving
cycles of the E-vehicle or the interactions between the different components. Troubleshooting or even
making big changes are quite difficult in a late development phase. Therefore, a closer analysis,
assessment and optimization of the electrical drivetrain components need to happen already in an
early development phase with Model-in-the-loop (Mil) and Hardware-in-the-loop (Hil) simulations. Hil
simulations combine the real component with the virtual simulation world. In this way, available
components can be tested in a realistic environment without an existing EV prototype. Multi-physical
vehicle models (including thermal behaviour) are needed to support the Mil and Hil simulations. Test
execution in such environment will finally support the improvement of the reliability of EV components,
will give a better understanding of the system interactions before their integration on a system level
and will speed up the development time.
The student needs to i) become familiar with the topic and perform a literature study, ii) collect
experimental data with our software/hardware platform, iii) develop accurate and robust MiL and HiL
simulation models for EV components and iv) test and validate the developed models in a wide range
of different operating conditions.

Project main objectives:

  • Gain skills on rapid prototyping and model based testing;
  • Gain skills on electrical machines.
  • Gain knowledge and practical testing skills

Candidate profile:

  • Master student in Applied Physics, Electrical and Mechanical Engineering
  • Skills in System, control and electrical machines
  • Hardware/software: Matlab/ Simulink
  • Be fluent in English (both oral and written)
  • Have a problem-solving mind (take own initiative to solve a problem case)


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