Samsung Sdi Co., Inc.

No-Kap Park

Eun-Jung Lee

Cheol-Ho Park

Jeong-Soon Shin

Kyeong-Beom Cheong

Ho-Yul Baek

Seung Bum Suh

Hee-Kwan Chai

Young-Hwa Ko

A system for predicting the thickness of a battery is disclosed. In one aspect, the battery thickness predicting system includes a learning data input unit for receiving data on a previously manufactured battery. The thickness predicting system further includes an object data input unit for receiving data on a battery whose thickness is to be predicted. The system further comprises a mechanical learning unit connected to the learning data input unit to obtain a predicting function based on learning factors input to the learning data input unit and to provide weight values to the learning factors, respectively. The system further includes a thickness predicting unit connected to the object data input unit and the mechanical learning unit and using the weight values provided by the mechanical learning unit in order to predict the thickness of the battery whose thickness is to be predicted.

System for predicting thickness of battery and method for predicting thickness of battery

Growing community of inventors

Yongin-si, South Korea

No-Kap Park