Battery Evaluation Device, Machine Learning Device, Battery Evaluation Program, Battery Evaluation Method, Machine Learning Program, And Machine Learning Method

Abstract: The present invention makes it possible to accurately calculate the degradation state of a battery from EIS data of the battery, and comprises: a correlation data storage unit that stores correlation data indicating the correlation between DRT data related to relaxation time distribution obtained from EIS data of batteries and degradation states of the batteries; a DRT data acquisition unit that acquires DRT data of an EUT battery being evaluated; and a degradation state calculation unit that calculates the degradation state of the EUT battery on the basis of the DRT data acquired by the DRT data acquisition unit and the correlation data.

Patent Information

Applicants

Inventors

Specification

Documents

Application Documents