Method and apparatus for detecting charged state of secondary battery based on neural network calculation
First Claim
1. A neural network type of apparatus for detecting an internal state of a secondary battery implemented in a battery system, the apparatus comprising:
- detecting means for detecting electric signals indicating an operating state of the battery; and
calculating means for calculating, using the electric signals, information indicating the internal state of the battery on the basis of neural network calculation, the information reflecting a reduction in an effect of polarization of the secondary battery.
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Abstract
An apparatus and method of neural network type are provided to detect an internal state of a secondary battery implemented in a battery system. Electric signals indicating an operating state of the battery is detected and, using the electric signals, information indicating the internal state of the battery is calculated on the basis of neural network calculation, in which the information reflects a reduction in an effect of polarization of the secondary battery. Using the electric signals, input parameters required for calculating the internal state of the battery is calculated. The input parameters may include, as one input parameter, a polarization-related quantity to correct the effect of the polarization in an output parameter (such as SOC and/or SOH) from the neural network. Further, the input parameters may include, as one input parameter, a functional value already subjected to the correction for correcting the effect of the polarization.
42 Citations
17 Claims
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1. A neural network type of apparatus for detecting an internal state of a secondary battery implemented in a battery system, the apparatus comprising:
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detecting means for detecting electric signals indicating an operating state of the battery; and
calculating means for calculating, using the electric signals, information indicating the internal state of the battery on the basis of neural network calculation, the information reflecting a reduction in an effect of polarization of the secondary battery. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of detecting an internal state of a secondary battery implemented in a battery system, comprising steps of:
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detecting electric signals indicating an operating state of the battery; and
calculating, using the electric signals, information indicating the internal state of the battery on the basis of neural network calculation, the information reflecting a reduction in an effect of polarization of the secondary battery. - View Dependent Claims (16, 17)
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Specification