Thesis - Analysis of predictive fast charging algorithms to improve battery lifetime (m/w/d)

vor 1 Woche


Graz, Steiermark, Österreich AVL List GmbH Vollzeit

We have an exciting research topic available for a thesis:

  • Analysis of Predictive Fast Charging Algorithms to Enhance Battery Lifetime

Your Responsibilities:

  • Literature review of aging models and predictive fast charging algorithms
  • Algorithm development for predicting battery pack lifetime
  • Creating a strategy to optimize fast charging based on battery pack health
  • Validating the model using real test data

Your Profile:

  • Currently pursuing a Bachelor's degree in Electrical Engineering, Automotive Engineering, Automation Technology, Telematics, Innovation Management, or related fields
  • Strong knowledge in control engineering
  • Basic experience with Matlab/Simulink/Targetlink
  • Proficiency in English
  • Availability to work at our headquarters in Graz

What We Offer:

  • Independently writing your thesis with guidance and support from experienced professionals
  • Engaging in knowledge exchange with industry experts
  • Immersing yourself in AVL's environment and applying theoretical knowledge practically

The successful completion of the thesis comes with a one-time payment of 1.700,00 EUR (before tax).

About AVL: AVL is a leading company in mobility technology, specializing in development, simulation, and testing within the automotive sector and beyond. Their services cover vehicle development, e-mobility, automated and connected mobility, and software solutions for a sustainable future of mobility.



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