Samsung Sdi Co., Inc.

Postech Research and Business Development Foundation

Gyeonghwan Lee

Wonil Jung

Sanghyo Lee

Soohee Han

Minho Kim

Sunhyung Kim

Mirae Im

Minsic Kim

A system and method of predicting variations in a capacity of a battery, the system including an ADFM management device including an experimental data collector to collect at least one first piece of data about the capacity of the battery, an ADF optimizer to optimize a first calculation equation, and a virtual data generator to generate at least one second piece of data; and a server including a training unit to train an artificial intelligence model for outputting the relative capacity variation value by using the at least one first piece of data and the at least one second piece of data as training data, and a prediction unit to obtain a relative capacity variation prediction value, which is output from the artificial intelligence model when the number of charge and discharge cycles and the charge and discharge conditions of the battery are input to the artificial intelligence model.

Battery capacity prediction system using charge and discharge cycles of a battery to predict capacity variations, and associated method

A secondary battery includes: a cylindrical can including a first region, a second region, and a first bent portion extending between the first region and the second region on a circumferential surface of the can; an electrode assembly accommodated in the can; and a cap assembly at a top end of the can and sealing the can. The first bent portion is bent such that an angle between the first region and the second region is in a range of about 90&#xb0; to about 100&#xb0;; the first region of the can partially covers a top surface of the cap assembly facing an exterior side of the can, and the second region of the can surrounds side surfaces of the cap assembly.

Cylindrical secondary battery with reduced circumferential surface rupture

Growing community of inventors

Yongin-si, South Korea

Gyeonghwan Lee