Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting (all genders)
Tasks
- Conduct literature review on machine learning for battery classification
- Develop machine learning model for lithium ion cell sorting
- Document and present results
- Evaluate model performance on test data
- Familiarize with provided electrochemical impedance spectroscopy dataset
- Investigate impact of electrochemical impedance spectroscopy data types on sorting accuracy
- Train machine learning model
Perks/Benefits
Skills/Tech-stack
Battery technology | Data Analysis | Electrochemical impedance spectroscopy | Impedance spectroscopy | Machine Learning | Model Evaluation | Python
Education
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