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임영철(Young-Cheol Lim),변성천(Sung-Chun Byun),김의선(Eui-Sun Kim),장영학(Young-Hak Chang) 한국조명·전기설비학회 1998 한국조명·전기설비학회 학술대회논문집 Vol.1998 No.-
To manage lead-acid battery efficiently and to use it longer in UPS, the state of charge(SOC) indicator of the battery is needed. So a new approach to developing battery SOC indicator for UPS is discussed in this paper. This method to determining SOC by combining the available data of discharge characteristics of a battery with neural network(NN) is presented. The 3-layered NN with back propagation algorithm has been used Exprement results show that the proposed method is appropriate as SOC indicator of the battery.