Exploring Advanced Machine Learning Techniques for Li-Ion Battery Voltage Prediction

Vor 2 Tagen


Graz, Österreich AVL List GmbH Vollzeit

We are seeking a highly motivated individual to contribute to our research project on machine learning algorithms for Li-Ion battery voltage prediction. This thesis opportunity is designed to explore the potential of various ML methods in improving SOC and SOH estimates for electric vehicles.

Key Responsibilities:
  • Develop and implement electrical equivalent circuit models (ECC) of a Li-Ion battery
  • Train and compare different ML algorithms, including NN, LSTM, Decision Trees, and Gaussian Processes, for system identification and output voltage prediction
  • Analyze and visualize the results to identify the most effective approach

Requirements:

  • Ongoing studies in Electrical Engineering, Computer Science/Data Science, or Digital Engineering
  • Proficiency in Python programming
  • Knowledge of optimization methods and machine learning principles

About AVL:

AVL is a leading mobility technology company providing solutions for development, simulation, and testing in the automotive industry. As a thesis partner, you will have access to our expert knowledge and resources, enabling you to apply your theoretical skills in a practical environment.

Benefits:

  • Independent thesis work with professional guidance and support
  • Opportunity to exchange ideas with experts and benefit from their expertise
  • A stipend of €1,700 before tax upon successful completion of the thesis

Your Profile:

We welcome applications from students with a strong academic background in relevant fields. If you're interested in contributing to cutting-edge research and gaining hands-on experience in the automotive industry, please apply now.



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