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

A method of predicting the thickness of a battery, comprising:

• extracting data on a first battery from a memory, wherein the first battery is a previously manufactured battery;
• dividing the extracted data into learning data and valid data;
• providing a weight value to the learning data;
• obtaining a predicting function from the learning data and the weight value;
• verifying the predicting function based at least in part on the valid data;
• and
• predicting the thickness of a second battery based at least in part on the predicting function and the weight value.

A system for predicting the thickness of a battery, comprising:

• a learning data receiver configured to receive at least one learning factor on a first battery;
• an object data receiver configured to receive at least one object factor on a second battery whose thickness is to be predicted;
• a mechanical learning unit being in data communication with the learning data receiver, wherein the mechanical learning unit is configured to obtain a predicting function based at least in part on the learning factor and to respectively provide at least one weight value to the learning factor;
• and
• a thickness predictor being in data communication with the object data receiver and the mechanical learning unit and configured to predict the thickness of the second battery based at least in part on the weight value.