Method and apparatus for detecting charged state of...

Electricity: battery or capacitor charging or discharging – Battery or cell discharging – With charging

Reexamination Certificate

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Details

C320S106000, C320S128000, C320S136000, C702S063000, C324S426000

Reexamination Certificate

active

07554296

ABSTRACT:
A neural network type of apparatus is provided to detect an internal state of a secondary battery implemented in a battery system. The apparatus comprises a detecting unit, producing unit and estimating unit. The detecting unit detects electric signals indicating an operating state of the battery. The producing unit produces, using the electric signals, an input parameter required for estimating the internal state of the battery. The input parameter reflects calibration of a present charged state of the battery which is attributable to at least one of a present degraded state of the battery and a difference in types of the battery. The estimating unit estimates an output parameter indicating the charged state of the battery by applying the input parameter to neural network calculation.

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Cai, C. H. et al. “Battery State-of-Charge (SOC) Estimation Using Adaptive Neuro-Fuzzy Inference System (ANFIS).”Proceedings of the 12thIEEE International Conference on Fuzzy Systems. (Cat. No. 03CH37422). IEEE Piscataway, NJ, USA, vol. 2, 2003, pp. 1068-1072. (XP 002382826).

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