COURSE

DSAA4070

Data Science for Battery Technologies

Information Hub / Data Science and Analytics · 3 Credits

This course provides students with a firm foundation of concepts and data science techniques in renewable battery technologies (especially lithium-ion batteries). It will cover topics including the underlying mechanism of how lithium-ion battery cells work, what and how to design a battery management system, how to perform state-of-charge (SOC) estimator for lithium-ion battery cells, how to perform state-of-health (SOH) estimator for lithium-ion battery cells, and other advanced research topics. Students will also present research papers and conduct implementation projects to gain a deep and empirical understanding of the related technologies.