SYSTEM AND METHOD FOR ESTIMATING LONG TERM CHARACTERISTICS OF BATTERY
First Claim
1. A system for estimating long term characteristics of a battery, comprising:
- 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;
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.
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Abstract
A system includes a learning data input unit for receiving initial 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 long term characteristic estimation; an artificial neural network operation unit for converting the learning data into first and second data structures, allowing an artificial neural network to learn the learning data based on each data structure, converting the 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 estimation data of each data structure and determining reliability of the estimation data depending on error.
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Citations
16 Claims
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1. A system for estimating long term characteristics of a battery, comprising:
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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; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for estimating long term characteristics of a battery, comprising:
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(a) receiving initial characteristic learning data and long term characteristic learning data of a battery to be a learning object; (b) converting the received initial characteristic learning data and the received long term characteristic learning data into first and second data structures and then individually allowing an artificial neural network to learn based on each data structure; (c) receiving initial characteristic measurement data of a battery to be an object for estimation of long term characteristics; (d) converting the received initial characteristic measurement data into first and second data structures, then applying the learned artificial neural network corresponding to each data structure thereto, and then calculating and outputting long term characteristic estimation data based on each data structure; and (e) calculating an error of the output long term characteristic estimation data based on each data structure and then determining reliability of the long term characteristic estimation data depending on the error. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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Specification