Internship Battery degradation modeling using machine learning
Toyota Motor Europe
Brussel Zaventem, BE
4 dagen geleden

Your profile :

  • University student with at least 2 yrs of study already completed in applied mathematics, statistics, mathematical engineering or related subject.
  • You have a European EEA citizenship (not requiring a visum to work in Belgium).
  • You must be a student for the entire duration of the internship.
  • Open personality and able to work independently in a multi-cultural business environment.
  • Fluent in English (reading; writing; speaking).
  • Able to summarize and explain complex technical information in a clear and visual way.
  • Working proficiency in MATLAB (must), Python (must).
  • You have a Toyota DNA, this means you :

  • C ourage : you are ready to let go of the easy path to reach challenging targets
  • C ollaboration : you are a team player, respectful and inclusive in your style and you take a customer-oriented approach
  • C reativity : your passion drives you to explore innovative ideas and challenge the impossible
  • C uriosity : you combine imagination and fact-based observation
  • C oaching : you share knowledge and feedback with your colleagues and celebrate each other’s success
  • Your team and your responsibilities

    Division information :

    As part of TME R&D organization, the Powertrain Division is responsible for local development of powertrains for vehicles built in one of the TME production plants, and for planning and research of new European technologies.

    Latest focus points include electrification, big data and connectivity.

    Your project :

    With electrification of the vehicle fleet, one of the key component to estimate the real state of a vehicle is the battery degradation.

    Several approaches of modelling of battery degradation can be used, in this project the focus is on black box model development using machine learning.

    With existing data from battery cell tests and fleet monitoring, you will use machine learning models to predict the degradation of the battery of a plug-in hybrid vehicle.

    For this purpose your tasks will be :

  • Post-processing of cell tests and fleet data.
  • Evaluation of machine learning model which could be used.
  • Comparison of the machine learning model with existing physical and semi-physical models.
  • We can only accept students with an EEA or Swiss citizenship (not requiring a work permit or visa to be eligible to perform an internship in Belgium)

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