Acknowledgement
본 연구는 산업통상자원부(MOTIE)와 산업기술평가관리원(KEIT) 지원을 받아 수행한 연구과제(No. 20011626) 및 한국전력공사 연구비(R21XO01-3) 지원을 받아 수행한 연구 결과입니다.
References
- Y. Wang, B. Liu, Q. Li, S. Cartmell, S. Ferrara, Z. D. Deng, and J. Xiao, "Lithium and lithiumion batteries for applications in microelectronic devices: A review," Journal of Power Sources, Vol. 286, pp. 330-345, 2015. https://doi.org/10.1016/j.jpowsour.2015.03.164
- Z. Liao, S. Zhang, K. Li, G. Zhang, and T. G. Habetler, "A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries," Journal of Power Sources, Vol. 436, 226879, 2019. https://doi.org/10.1016/j.jpowsour.2019.226879
- S. Wang, L. Shang, Z. Li, H. Deng, and J. Li, "Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation," Applied Energy, Vol. 166, pp. 44-58, 2016. https://doi.org/10.1016/j.apenergy.2016.01.013
- H. Heimes, A. Kampker, C. Lienemann, M. Locke, and C. Offermanns, "Lithium-ion battery cell production process," VDMA Battery Production, 2019.
- R. Xiong, L. Li, and J. Tian, "Towards a smarter battery management system: A critical review on battery state of health monitoring methods," Journal of Power Sources, Vol. 405, pp. 18-29, 2018. https://doi.org/10.1016/j.jpowsour.2018.10.019
- S. Wang, C. Fernandez, C. Zou, C. Yu, L. Chen, and L. Zhang, "A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction," Energy, Vol. 171, pp. 444-455, 2019. https://doi.org/10.1016/j.energy.2019.01.020
- U. K. Das, P. Shrivastava, K. S. Tey, M. Y. I. B. Idris, S. Mekhilef, E. Jamei, M. Seyedmahmoudian, and A. Stojcevski, "Advancement of lithium-ion battery cells voltage equalization techniques: A review," Renewable and Sustainable Energy Reviews, Vol. 134, 110227, 2020. https://doi.org/10.1016/j.rser.2020.110227
- K. Liu, K. Li, Q. Peng, and C. Zhang, "Abrief review on key technologies in the battery management system of electric vehicles," Frontiers of Mechanical Engineering, Vol. 14, pp. 47-64, 2019. https://doi.org/10.1007/s11465-018-0516-8
- X. Hu, F. Feng, K. Liu, L. Zhang, J. Xie, and B. Liu, "State estimation for advanced battery management: Key challenges and future trends," Renewable and Sustainable Energy Reviews, Vol. 114, 109334, 2019. https://doi.org/10.1016/j.rser.2019.109334
- N. Williard, W. He, C. Hendricks, and M. Pecht, "Lessons learned from the 787 dreamliner issue on lithium-ion battery reliability," Energies, Vol. 6, pp. 4682-4695, 2013. https://doi.org/10.3390/en6094682
- S. Abada, G. Marlair, A. Lecocq, M. Petit, V. Sauvant-Moynot, and F. Huet, "Safety focused modeling of lithium-ion batteries: A review," Journal of Power Sources, Vol. 306, pp. 178-192, 2016. https://doi.org/10.1016/j.jpowsour.2015.11.100
- L. Kong, C. Li, J. Jiang, and M. G. Pecht, "Li-ion battery fire hazards and safety strategies," Energies, Vol. 11, 2191, 2018. https://doi.org/10.3390/en11092191
- Q. Wang, B. Mao, S. I. Stoliarov, and J. Sun, "A review of lithium ion battery failure mechanisms and fire prevention strategies," Progress in Energy and Combustion Science, Vol. 73, pp. 95-131, 2019. https://doi.org/10.1016/j.pecs.2019.03.002
- Z. Liao, S. Zhang, K. Li, G. Zhang, and T. G. Habetler, "A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries," Journal of Power Sources, Vol. 436, 226879, 2019. https://doi.org/10.1016/j.jpowsour.2019.226879
- X. Feng, S. Zheng, D. Ren, X. He, L. Wang, H. Cui, X. Liu, C. Jin, F. Zhang, C. Xu, H. Hsu, S. Gao, T. Chen, Y. Li, T. Wang, H. Wang, M. Li, and M. Ouyang, "Investigating the thermal runaway mechanisms of lithium-ion batteries based on thermal analysis database," Applied Energy, Vol. 246, pp. 53-64, 2019. https://doi.org/10.1016/j.apenergy.2019.04.009
- X. Feng, D. Ren, X. He, and M. Ouyang, "Mitigating thermal runaway of lithium-ion batteries," Joule, Vol. 4, pp. 743-770, 2020. https://doi.org/10.1016/j.joule.2020.02.010
- Y. Kang, B. Duan, Z. Zhou, Y. Shangb, and C. Zhang, "A multi-fault diagnostic method based on an interleaved voltage measurement topology for series connected battery packs," Journal of Power Sources, Vol. 417, pp. 132-144, 2019. https://doi.org/10.1016/j.jpowsour.2019.01.058
- X. Lai, C. Jin, W. Yi, X. Han, X. Feng, Y. Zheng, and M. Ouyang, "Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives," Energy Storage Materials, Vol. 35, pp. 470-499, 2021. https://doi.org/10.1016/j.ensm.2020.11.026
- S. Dey, Z. A. Biron, S. Tatipamula, N. Das, S. Mohon, B. Ayalew, and P. Pisu, "Model-based real-time thermal fault diagnosis of Lithium-ion batteries," Control Engineering Practice, Vol. 56, pp. 37-48, 2016. https://doi.org/10.1016/j.conengprac.2016.08.002
- Z. Chen, K. Xu, J. Wei, and G. Dong, "Voltage fault detection for lithium-ion battery pack using local outlier factor," Measurement, Vol. 146, pp. 554-556, 2019.
- A. Naha, A. Khandelwal, S. Agarwal, P. Tagade, K. S. Hariharan, A. Kaushik, A. Yadu, S. M. Kolake, S. Han, B. Oh, "Internal short circuit detection in Li-ion batteries using supervised machine learning," Scientific Reports, Vol. 10, 1301, 2020. https://doi.org/10.1038/s41598-020-58021-7
- Y. Kang, B. Duan, Z. Zhou, Y. Shang, and C. Zhang, "Online multi-fault detection and diagnosis for battery packs in electric vehicles," Applied Energy, Vol. 259, 114170, 2020. https://doi.org/10.1016/j.apenergy.2019.114170
- X. Hu, K. Zhang, K. Liu, X. Lin, S. Dey, and S. Onori, "Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures," IEEE Industrial Electronics Magazine, Vol. 14, pp. 65-91, 2020. https://doi.org/10.1109/mie.2020.2964814
- Y. Shang, G. Lu, Y. Kang, Z. Zhou, B. Duan, and C. Zhang, "A multi-fault diagnosis method based on modified sample entropy for lithium-ion battery strings," Journal of Power Sources, Vol. 446, 227275, 2019.