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전기자동차와 에너지 저장장치 출력 특성에 적합한 원통형 리튬이온 셀 비교 분석

Comparative Analysis of 18650 Lithium-Ion Cylindrical Cells for Electric Vehicle (EV) and Battery Energy Storage System (BESS)

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초록

This research elaborately performed the comparative analysis of 18650 lithium-ion cylindrical cells that suitable for electric-powered application such as electric vehicle (EV) and battery energy storage system (BESS). For this, two kinds of 18650 lithium-ion cylindrical cells with high-power and high-energy characteristics are well considered (two high-power and two high-energy lithium-ion cells). According to electrochemical characteristics in lithium-ion cells, some internal parameters including discharge capacity, open-circuit voltage, and discharge/charge resistances are respectively measured. From various experimental results implemented, this research surely provides useful solutions for selection of 18650 lithium-ion cylindrical cells with the purpose of the EV and BESS.

Abstract

This research elaborately performed the comparative analysis of 18650 lithium-ion cylindrical cells that suitable for electric-powered application such as electric vehicle (EV) and battery energy storage system (BESS). For this, two kinds of 18650 lithium-ion cylindrical cells with high-power and high-energy characteristics are well considered (two high-power and two high-energy lithium-ion cells). According to electrochemical characteristics in lithium-ion cells, some internal parameters including discharge capacity, open-circuit voltage, and discharge/charge resistances are respectively measured. From various experimental results implemented, this research surely provides useful solutions for selection of 18650 lithium-ion cylindrical cells with the purpose of the EV and BESS.

참고문헌 (9)

  1. Kim, J., "Discrete Wavelet Transform-Based Feature Extraction of Experimental Voltage Signal for Li-Ion Cell Consistency", IEEE Transactions on Vehicular Technology, 65(3), pp.1150~1161 (2016)
  2. Kim, T., "Power electronics-enabled self-X multicell batteries: A design toward smart batteries", IEEE Transactions on Energy Conversion, 27(11), pp.4723~4733 (2012)
  3. Kim, J., "Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage", SOC Balancing, 2012, pp.27(1), 411~424
  4. Orchard, M. E., "Risk measures for particle-filtering-based state-of-charge prognosis in lithium-ion batteries", IEEE Trans. Ind. Electron, 60(11), pp.5260~5269 (2013)
  5. Chopra, S., "Driving range extension of EV with on-road contactless power transfer-A case study", IEEE Trans. Ind. Electron, 60(1), pp.329~338 (2013)
  6. Kim, J., "Screening process-based modeling of the multi-cell battery string in series and parallel connections for high accuracy state-of-charge estimation", Energy, 57, pp.581~599 (2013)
  7. Chun, C. Y., "Current sensor-less state-of-charge estimation algorithm for lithium-ion batteries utilizing filtered terminal voltage", J. Power Sources, 273, pp.255~263 (2015)

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