Design and implementation of Identical Battery Identification and Clustering System (IBICS)

Abstract

"In the rapidly evolving world of electronics Li-ion battery packs are one of the most used and fundamental components to many impactful industries. Unfortunately, unbalanced cells within battery packs harm battery performance in the long run. This project aims to solve the battery pack performance by analyzing batteries’ electrical parameters. To do so, we will be using machine learning and developing software peripherals that can easily check battery performance by analyzing its characteristics as error less as possible. Also, this project will follow up on the industry standards laws and protocols while developing this whole system."