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A Study on the Charging and Diagnosis System of xEV Reusable Waste Battery 원문보기

한국산업융합학회 논문집 = Journal of the Korean Society of Industry Convergence, v.24 no.6/1, 2021년, pp.669 - 681  

Park, Sung-Jun (Dept. of Electrical Engineering, Chonnam National University) ,  Kim, Chun-Sung (Green Energy Institute) ,  Park, Seong-Mi (Dept. of Lift Engineering, Korea Lift College)

Abstract AI-Helper 아이콘AI-Helper

As the supply of xEV in Korea is rapidly increasing, the amount of waste batteries is expected to increase rapidly, but the current recycling system for waste xEV batteries is very insufficient. In order to properly utilize the xEV reusable battery module, it is essential to classify it into a type ...

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표/그림 (15)

AI 본문요약
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제안 방법

  • In this paper, the battery equivalent circuit was analyzed based on the Randles model to analyze the characteristics of the reused battery, and the DCIR method was used for practical measurement of the battery internal impedance of the equivalent circuit. In order to minimize the power consumption during the full charge/discharge test, a charging / discharging system using the circulating power between the batteries sharing the DC-Bus was proposed.
  • This paper proposes a system that can minimize the exchange of energy with the KEPCO system by using the charging and discharging method by circulating power between batteries in order to minimize the power consumption when charging and discharging waste batteries. The proposed system is a customized big date for test waste batteries was built by implementing a function that can measure parameters during the charging/discharging test of waste batteries.

대상 데이터

  • The proposed system uses a bidirectional DC/DC converter that can transfer energy to and from each battery to classify the 8 sets of reusable battery classes, and is connected to the DC common bus. At this time, an internal energy dump was additionally installed using a bidirectional DC/DC converter so that the sum of the internal circulation currents became zero so that the battery charge/discharge test could be performed without external energy supply.
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참고문헌 (10)

  1. H. D. Lee, O. T. Lim, "Policy Suggestion for Fostering the Industry of Using End of Life EV Batteries," Trans. of the Korean Hydrogen and New Energy Society, Vol. 32, No. 4, pp. 263~270, 2021. 

  2. A. Guha and A. Patra, "State of health estimation of lithium ion batteries using capacity fade and internal resistance growth models," IEEE Transaction on Transportation Electrification, Vol. 4, pp. 135-146, 2018. 

  3. D. Liu, J. Zhou, H. Liao, Y. Peng, and X. Peng, "A health indicator extraction and optimization framework for lithium ion battery degradation modeling and prognostics," IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 45, pp. 915-928, 2015. 

  4. J. Lee and M. F. Pecht, "Reduction of litium ion battery qualificatrion time based on prognostics and health management," IEEE Transactions on Industrial Electronics, Vol. 66, pp. 7310-7315, 2019. 

  5. J. Qi et al., "A preventive approach for solving battery imbalance issue by using a bidirectional multiple-input cuk converter working in DCVM," IEEE Transactions on Industrial Electronics, Vol. 64, pp. 7780-7789, 2017. 

  6. V. Agarwal, K. Uthaichana, R. A. Decarlo, L. H. Tsoukalas, "Development and validation of a battery model useful for discharging and charging power control and lifetime estimation," IEEE Trans. Energy. Convers., Vol. 25, No. 3, pp. 821-835. 

  7. J.-H. Kim, S.-J. Lee, J.-M. Lee, and B. H. Cho, "A New Direct Current Internal Resistance and State of Charge Relationship for the Li-Ion Battery Pulse Power Estimation," in Proc. of IEEE Int. Conf. Power Electron., pp. 1173-1178, 2007. 

  8. M. Uno and K. Tanaka, "Single-switch cell voltage equalizer using multistacked buck-boost converters operating in discontinuous conduction mode for series-connected energy storage cells," IEEE Trans. Veh. Technol., vol. 60, no. 8, pp. 3635-3645, Oct. 2011. 

  9. F. Cadini, C. Sbarufatti, F. Cancelliere, and M. Giglio, "State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters," Applied Energy, Vol. 235, pp. 661-672, 2019. 

  10. M. Einhorn, W. Roessler, and J. Fleig, "Improved performance of serially connected li-ion batteries with active cell balancing in electric vehicles," IEEE Trans. Vehicular Tech., vol. 60, no. 99, pp. 2448-2457, May. 2011. 

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