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다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기디지털콘텐츠학회 논문지 = Journal of Digital Contents Society, v.22 no.4, 2021년, pp.697 - 703
Go, Ha-Na , Lee, Sol-Bee , Kim, Eui-Jik
초록이 없습니다.
S. W. Yang, N. Y. Kim, E. S. Kim, M. H. Lim, J. N. Park, J. H. Song, S. H. Park, W. A. Appiah, M. H. Ryou, and Y. M. Lee, “A Review on Electrochemical Model for Predicting the Performance of Lithium Secondary Battery,” Journal of the Korean Electrochemical Society, Vol. 22, No. 1, pp. 43-52, Feb. 2019.
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 (KIPE), Vol. 25, No. 5, pp. 376-384, Oct. 2020.
Pola, Daniel A., Navarrete, Hugo F., Orchard, Marcos E., Rabie, Ricardo S., Cerda, Matias A., Olivares, Benjamin E., Silva, Jorge F., Espinoza, Pablo A., Perez, Aramis. Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles. IEEE transactions on reliability, vol.64, no.2, 710-720.
10.1109/ICPHM.2016.7542847 B. Mo, J. Yu, D. Tang, H. Liu, and J. Yu, “A remaining useful life prediction approach for lithium-ion batteries using Kalman filter and an improved particle filter,” 2016 IEEE International Conference on Prognostics and Health Management (ICPHM), Ottawa, ON, pp. 1-5, Jun. 2016.
Chaoui, Hicham, Ibe-Ekeocha, Chinemerem Christopher. State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks. IEEE transactions on vehicular technology, vol.66, no.10, 8773-8783.
Kwon, Sanguk, Han, Dongho, Park, Seongyun, Kim, Jonghoon. Long Short Term Memory-Based State-of-Health Prediction Algorithm of a Rechargeable Lithium-Ion Battery for Electric Vehicle. 전기학회논문지 = The Transactions of the Korean Institute of Electrical Engineers, vol.68, no.10, 1214-1221.
NASA Ames Research Center. Battery Data Set. Available: http://ti.arc.nasa.gov/project/prognostic-data-repository.
Nuhic, A., Terzimehic, T., Soczka-Guth, T., Buchholz, M., Dietmayer, K.. Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods. Journal of power sources, vol.239, 680-688.
Kupper, Christian, Weißhar, Bjo¨rn, Rißmann, Sascha, Bessler, Wolfgang G.. End-of-Life Prediction of a Lithium-Ion Battery Cell Based on Mechanistic Aging Models of the Graphite Electrode. Journal of the Electrochemical Society : JES, vol.165, no.14, A3468-A3480.
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