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DIVISION Clean Energy Systems

Do you want challenges? Join the automotive revolution in a group that puts innovation at the heart of its strategy.


With 33,000 employees in 31 countries and a turnover of 8 billion euros in 2017, Plastic Omnium is the world leader in intelligent automotive exterior systems, clean energy systems and complex modules.


The Clean Energy Systems Division is the world leader in energy storage systems. It employs 7,500 people in 36 industrial sites.


Our ambition? Provide automotive manufacturers with advanced equipment and solutions to develop the clean and connected car of tomorrow



Besides the fuel systems, Clean Energy Systems is one of the main suppliers of depollution systems.  Research programs as well as development programs specific to new vehicles move forward to answer as quickly as possible the new requests of the market, in the core business of the Division (Fuel systems and Depollution), but also in new energy solutions.- hydrogen storage and fuel cells


The Research Center of Plastic Omnium located in Brussels is fully dedicated to innovations in those three lines of products.


Objective of the internship

The objective of the internship is to design, validate and calibrate and innovative algorithm with a new testing mean. The design and the realization of the control models are done on Matlab Simulink and validated on a real system controlled by a rapid control prototyping controller.

The trainee will receive system specifications and a first draft of the model. Plastic Omnium asks to the trainee to optimize, to improve the robustness of the algorithm and to calibrate it on a real system.


Tasks and deliverables of the internship

  • Receive the specification and the draft model
  • Analysis
  • Contribute in the optimization and the robustness of the model
  • Validate it on a Rapid Control Prototyping controller with a real system
  • Calibrate it online
  • Reports

The model, the tests specification, tests results, the calibration dataset and the model documentation are asked as deliverable.



Master in engineering in automation


Know-how - prerequisites

  • Matlab/Simulink
  • Model-based engineering
  • System engineering
  • Source Control
  • Fluent in English
  • High level of initiative, good communication skills
  • Ms Office


Simulation means

  • Matlab Simulink environment
  • Rapid Control Prototyping tools


Duration and period

Period: 2019/2020

Duration: 6 months

Requirement: EU citizenship










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