Battery Lifetime Prediction Engineer

Vor 5 Tagen


Graz, Steiermark, Österreich AVL List GmbH Vollzeit

Job Opportunity:

We are seeking a highly motivated and skilled engineer to work on a thesis project focused on predictive fast charging algorithms to improve battery lifetime.

Your Responsibilities:

  • Conduct a literature review of ageing models and predictive fast charging algorithms.
  • Develop an algorithm for lifetime prediction/ageing model of a battery pack.
  • Design a strategy to optimize the fast charging current based on actual battery pack SOH.
  • Validate the model using real test data.

Your Profile:

  • Ongoing bachelor studies in Electrical engineering, Automotive engineering, Automation technology, Telematics, or Innovation management.
  • Good knowledge of control engineering.
  • Experience with Matlab/Simulink/Targetlink.
  • Excellent English language skills.
  • Availability to work at our headquarters in Graz.

What We Offer:

  • Independent thesis work with professional guidance and support.
  • Opportunity to exchange ideas with experts and benefit from their expertise.
  • Chance to apply theoretical knowledge in a practical environment.

The successful completion of the thesis is remunerated with a one-time fee. If you are interested in exploring the mobility of the future and contributing to the development of innovative solutions, we encourage you to apply.



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