Thesis Opportunity: Predictive Fast Charging Algorithms for Battery Lifetime

vor 3 Wochen


Graz, Österreich AVL List GmbH Vollzeit
Research Thesis: Predictive Fast Charging Algorithms for Battery Lifetime

We are offering a research thesis opportunity in the field of predictive fast charging algorithms for battery lifetime. The successful candidate will have the chance to work on a project that aims to improve the efficiency and lifespan of battery packs.

Responsibilities:

  • Literature review of ageing models and predictive fast charging algorithms
  • Development of a lifetime prediction/ageing model of a battery pack
  • Strategy development to optimize the fast charging current based on actual battery pack SOH
  • Validation of the model based on real test data

Requirements:

  • Ongoing bachelor studies in the fields of Electrical engineering / electronics, Automotive engineering, Automation technology, Telematics, Innovation management or similar
  • Good knowledge in the field of control engineering
  • First experiences in the application of Matlab/Simulink/Targetlink
  • Good knowledge of English

About the Project:

The successful completion of the thesis is remunerated with a one-time fee of EUR 1,700.-- before tax. We offer a unique opportunity to work on a project that has the potential to make a significant impact on the field of battery technology.

About AVL:

AVL is one of the world's leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.



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