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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.
임영철,박종건,류영재,이홍수,변성천,김의선 ( Y . C . Lim,J . G . Park,Y . J . Ryoo,H . S . Lee,S . C . Byun,E . S . Kim ) 한국센서학회 1996 센서학회지 Vol.5 No.6
In this paper, a development of model based battery SOC indicator is described. The proposed method is independent upon initial SOC, is reliable on the sudden change of load, and could estimate the available driving distance. The mathematical model of battery which has relation of the current, voltage and SOC estimates the SOC by least square estimation to minimize the error between measured voltage and estimated voltage. For experiment, the charging and discharging system using computer was designed to acquire the current and voltage data for model. The feasibility in electric vehicle was confirmed by variable load testing using the developed SOC indicator by stand-alone type microcontroller.