Computational Simulation on Power Prediction of Lithium Secondary Batteries by using Pulse-based Measurement Methods

펄스 측정법에 기반한 리튬이차전지 출력 측정에 관한 전산 모사

  • Park, Joonam (Department of Chemical and Biological Eng., Hanbat National Univ.) ;
  • Byun, Seoungwoo (Department of Chemical and Biological Eng., Hanbat National Univ.) ;
  • Appiah, Williams Agyei (Department of Chemical and Biological Eng., Hanbat National Univ.) ;
  • Han, Sekyung (Department of Electrical Engineering, Kyungpook National University) ;
  • Choi, Jin Hyeok (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Ryou, Myung-Hyun (Department of Chemical and Biological Eng., Hanbat National Univ.) ;
  • Lee, Yong Min (Department of Chemical and Biological Eng., Hanbat National Univ.)
  • Published : 2015.09.30


Energy storage systems (ESSs) have been utilized widely in the world to optimize the power operation system and to improve the power quality. As lithium secondary batteries are the main power supplier for ESSs, it is very important to predict its cycle and power degradation behavior. In particular, the power, one of the hardest electrochemical properties to measure, needs lots of resources such as time and facilities. Due to these difficulties, computer modelling of lithium secondary batteries is applied to predict the DC-IR and power value during charging and discharging as a function of state of charge (SOC) by using pulse-based measurement methods. Moreover, based on the hybrid pulse power characteristics (HPPC) and J-Pulse (JEVS D 713, Japan Electric Vehicle Association Standards) methods, their electrochemical properties are also compared and discussed.


Supported by : 기초전력연구원


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