Apparatus and method for estimating state of charge of battery using neural network

An apparatus for estimating a state of charge (SOC) of a battery, the apparatus comprising:

• a sensing section for detecting current, voltage and a temperature from a battery cell;
• a neural network performing a neural network algorithm for calculating SOC of the battery by processing data of the current, voltage and temperature transmitted thereto from the sensing section and time data at which the current, voltage and temperature are measured, according to a function having a predetermined weight, the predetermined weight being updated by a learning algorithm that directs the calculated SOC of the battery to follow a predetermined target value;
• and
• a comparator in communication with the neural network to monitor the output of the neural network during calculation of the SOC of the battery, which compares the SOC of the battery calculated through the neural network with the predetermined target value varying with charging or discharging of the battery and provides a control signal to the neural network to perform the learning algorithm if a difference between the calculated SOC of the battery and the predetermined target value is out of a predetermined limit.