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NTIS 바로가기한국전자통신학회 논문지 = The Journal of the Korea Institute of Electronic Communication Sciences, v.17 no.3, 2022년, pp.423 - 432
박종용 (서울과학기술대학교 정보통신미디어공학과) , 유민혁 (서울과학기술대학교 정보통신미디어공학과) , 노태민 (서울과학기술대학교 미디어IT공학과) , 신대견 (서울과학기술대학교 정보통신미디어공학과) , 김성권 (서울과학기술대학교 정보통신미디어공학과)
This paper addresses the safety concern that the SOH of batteries in electric vehicles decreases sharply when drivers change or their driving patterns change. Such a change can overload the battery, reduce the battery life, and induce safety issues. This paper aims to present the SOH as the changes ...
P. Lee, S. Kwon, D. Kang, S. Han, and J. Kim, "SOH Estimation and Feature Extraction using Principal Component Analysis based on Health Indicator for High Energy Battery Pack," The Korean Institute of Power Electronics, vol. 25, no. 5, Oct. 2020, pp. 376-384.
S. Kim, J. Park, and J. Kim, "Prediction Algorithm for Lithium Ion Battery SOH Based on ARIMA Model," Proceedings of the KIPE Conference, Yesan, Korea, July 2019, pp. 56-58.
D. Andre, C. Appel, T. Soczka-Guth, and D. U. Sauer, "Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries," Journal of power sources. vol. 224, Feb 2013, pp. 20-27.
H. Go, S. Lee, and E. Kim, "LSTM Model-Based SOH Prediction for Lithium-Ion Battery," Digital Contents Society, vol. 22, no. 4, Apr. 2021, pp. 697-703.
S. Kwon, D. Han, S. Park, and J. Kim, "Long Short Term Memory-Based State-of-Health Prediction Algorithm of a Rechargeable Lithium-Ion Battery for Electric Vehicle," The Trans. of the Korean Institute of Electrical Engineers(KIEE), vol. 68, no. 10, pp. 1214-1221.
K. M. Adib, C. Angela, and W. Lim, N. J. Nkechinyere, "SOH and RUL Prediction of Lithium-Ion Batteries Based on LSTM with Ensemble Health Indicators," KICS Summer Conference 2020 Proceedings, Pyeongchang, Korea, vol. 72, Aug. 2020, pp. 317-318.
B. Kim and J. Kim, "An Optimal Design Method of a Linear Generator for Conversion of Wave Energy," Journal of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 6, Dec. 2021, pp. 1195-1204.
J. Choi, "Performance Comparison of Machine Learning in the Prediction for Amount of Power Market," Journal of the Korea Institute of Electronic Communication Sciences, vol. 14, no. 5, 2019, pp. 943-950.
K. Goebel, B. Saha, and A. Saxena, "Prognostics in battery health management," IEEE Trans. Instrum. Meas, vol. 11, no. 4, Nov. 2008, pp. 33-40.
T. Qin, S. Zeng, J. Guo, and Z. Skaf, "A rest time-based prognostic framework for state of health estimation of lithium-ion batteries with regeneration phenomena," Energies, vol. 9 no. 11, 2016, pp. 896.
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