Apparatus and method for estimating state of charge of battery using neural network
First Claim
1. 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 and a learning algorithm based on data of the current, voltage and temperature transmitted thereto from the sensing section and present time data, thereby outputting the SOC of the battery estimated through a final learning algorithm; and
a comparator for comparing an output value of the neural network with a predetermined target value and making the neural network iteratively perform the learning algorithm if a difference between the output value of the neural network and the predetermined target value is out of a predetermined limit, and update the learning algorithm to generate the final learning algorithm.
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Abstract
Disclosed are an apparatus and a method for estimating a state of charge of a battery representing a non-linear characteristic by using a neural network. The apparatus includes a sensing section for detecting current, voltage and a temperature from a battery cell, a neural network performing a neural network algorithm and a learning algorithm based on data of the current, voltage and temperature transmitted thereto from the sensing section and present time data, thereby outputting the SOC of the battery estimated through a final learning algorithm, and a comparator for comparing an output value of the neural network with a predetermined target value and making the neural network iteratively perform the learning algorithm if a difference between the output value of the neural network and the predetermined target value is out of a predetermined limit, thereby update the learning algorithm to generate the final learning algorithm. The state of charge of the battery is precisely estimated through the neural network algorithm.
71 Citations
14 Claims
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1. An apparatus for estimating a state of charge (SOC) of a battery, the apparatus comprising:
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a sensing section for detecting current, voltage and a temperature from a battery cell;
a neural network performing a neural network algorithm and a learning algorithm based on data of the current, voltage and temperature transmitted thereto from the sensing section and present time data, thereby outputting the SOC of the battery estimated through a final learning algorithm; and
a comparator for comparing an output value of the neural network with a predetermined target value and making the neural network iteratively perform the learning algorithm if a difference between the output value of the neural network and the predetermined target value is out of a predetermined limit, and update the learning algorithm to generate the final learning algorithm. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for estimating a state of charge (SOC) of a battery by using a neural network, the method comprising the steps of:
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(a) performing a learning algorithm based on data of the current, voltage and a temperature detected from the battery and present time data; and
(b) outputting the SOC of the battery estimated through a final learning algorithm generated by performing the learning algorithm. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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Specification