Patent Document ID: 8412658
Application ID: 12678094
Patent Flag: 1

Claim One:
1. A system for estimating long term characteristics of a battery, comprising: a learning data input unit for receiving initial characteristic learning data, obtained at a cycle conducted in an opening part of a repeated cycle charging/discharging process with respect to a battery to be a learning object and long term characteristic learning data, obtained at a cycle conducted in a latter part of the cycle charging/discharging process; a measurement data input unit for receiving initial characteristic measurement data, obtained at a cycle conducted in an opening part of the cycle charging/discharging process with respect to a battery to be an object for estimation of long term characteristics; an artificial neural network operation unit for converting the initial characteristic learning data and the long term characteristic learning data into first and second data structures, allowing an artificial neural network to learn the initial characteristic learning data and the long term characteristic learning data based on each data structure, converting the input initial characteristic measurement data into first and second data structures, and individually applying the learned artificial neural network corresponding to each data structure to calculate and output long term characteristic estimation data based on each data structure; and a long term characteristic evaluation unit for calculating an error of the output long term characteristic estimation data of each data structure and determining reliability of the long term characteristic estimation data depending on the error.