System and method for estimating long term characteristics of battery

摘要

A system for estimating long term characteristics of a battery includes a learning data input unit for receiving initial characteristic learning data and long term characteristic learning data of a battery to be a learning object; a measurement data input unit for receiving initial characteristic measurement data of a battery to be an object for estimation of long term characteristics; and an artificial neural network operation unit for receiving the initial characteristic learning data and the long term characteristic learning data from the learning data input unit to allow learning of an artificial neural network, receiving the initial characteristic measurement data from the measurement data input unit and applying the learned artificial neural network thereto, and thus calculating long term characteristic estimation data from the initial characteristic measurement data of the battery and outputting the long term characteristic estimation data.

主权项

1. A computer having a computer-readable medium on which a system for estimating long term characteristics of a battery is recorded, the system comprising:
a learning data input unit configured to receive a first plurality of initial charging capacity variation data sets for the battery, each initial charging capacity variation data set respectively obtained at a plurality of initial cycles when the battery has been periodically charged and discharged in a predetermined number of cycles, and receive a first long term charging capacity variation data set for the battery obtained at a predetermined latter long term cycle after the initial cycles during the predetermined number of cycles, wherein one cycle refers to one charging and one discharging of the battery and the charging capacity variation data includes a plurality of charging capacity values in accordance with varying of a charging voltage or a charging time; a measurement data input unit configured to receive a second plurality of initial charging capacity variation data sets respectively measured during the initial cycles of the predetermined number of cycles for the battery to be an object for estimating a second long term charging capacity variation data set predicted at the predetermined latter long term cycle of the predetermined number of cycles; an artificial neural network operation unit configured to receive the first plurality of initial charging capacity variation data sets and the first long term charging capacity data set from the learning data input unit to allow learning of an artificial neural network, receive the measured second plurality of initial charging capacity variation data sets from the measurement data input unit and apply the learned artificial neural network thereto, and thus determine the second long term charging capacity variation data set predicted at the predetermined latter long term cycle of the predetermined number of cycles from the measured second plurality of the initial charging capacity variation data sets; and a display device configured to output the determined second long term charging capacity variation data set.