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Computational Simulation on Power Prediction of Lithium Secondary Batteries by using Pulse-based Measurement Methods
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 Title & Authors
Computational Simulation on Power Prediction of Lithium Secondary Batteries by using Pulse-based Measurement Methods
Park, Joonam; Byun, Seoungwoo; Appiah, Williams Agyei; Han, Sekyung; Choi, Jin Hyeok; Ryou, Myung-Hyun; Lee, Yong Min;
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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.
Energy Storage System;Lithium Secondary Battery;Computer Modeling;Computational Simulation;Power;
 Cited by
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