| 摘要 |
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.
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