• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

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2 
Ministry of Trade, Industry and Energy, "ESS Fire Accident Investigation Results and Safety Enhancement Measures," Ministry of Trade, Industry and Energy, 2019. Google Search
3 
P. Woo, Y. MO, M. Hwang, Y. Kim, "A Study on Safety: Considering a Performance Evaluation Algorithm for an Energy Storage System based on the Lithium-ion Battery," New & Renewable Energy, vol. 21, no. 4, pp. 108-114, 2025. DOI
4 
D. Yang, Y. Cui, Q. Xia, F. Jiang, Y. Ren, B. Sun, Q. Feng, Z. Wang, C. Yang, "A Digital Twin-Driven Life Prediction Method of Lithium-Ion Batteries Based on Adaptive Model Evolution," Materials, vol. 15, no. 9, 2022. DOI
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Y. Wang, J. Xiao, Y.-Y. Soo, Y. Chen, Z. Chen, "Digital twins for battery health prognosis: A comprehensive review of recent advances and challenges," eTransportation, vol. 26, 2025. DOI
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C. Wang, M. Yang, X. Wang, Z. Xiong, F. Qian, C. Deng, "A review of battery SOC estimation based on equivalent circuit models," Journal of Energy Storage, vol. 110, 2025. DOI
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K. Patel, V. Gosala, M. Stender, M. Braun, S. Ehlers, "Predicting remaining useful life of lithium-ion batteries: A review of degradation mechanisms and open-source data availability," Future Batteries, vol. 8, 2025. DOI
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W. Li, M. Rentemeister, J. Badeda, D. Jöst, D. Schulte, D. U. Sauer, "Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation," Journal of Energy Storage, vol. 30, 2020. DOI
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J. Schmitt, I. A. Horstkötter, B. Bäker, "State-of-health estimation by virtual experiments using recurrent decoder–encoder based lithium-ion digital battery twins trained on unstructured battery data," Journal of Energy Storage, vol. 58, 2023. DOI