BatteryML

Project Overview

Abstract

Utilize li-ion charge cycle data to model usage and to predict SOH (state of health) with ML. Analyzing impedance data to create a machine learning model for battery degradation

Languages & Concepts

EIS (Electrochemical Impedance Spectroscopy), State of Health (SOH), BatteryML, Lithium-ion batteries, Python, Google CoLab, AI/ML, AR/ML

Team

Our team is compromised of PhD, Master’s and Undergraduate students in various majors and disciplines to work cross-functionally. Within our team, we have created two different “departments”, or sub-groups, to specialize and create a highly productive, collaborative environment