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A Review of Factors Affecting the Lifespan of Lithium-ion Battery and its Health Estimation Methods

Transactions on electrical and electronic materials, v.22 no.5, 2021년, pp.567 - 574  

Zhang, Xiaoqiang ,  Han, Yue ,  Zhang, Weiping

초록이 없습니다.

참고문헌 (36)

  1. L.X. Wang, Y. Wang, Y. Lou, “Study on the safety risk of energy resource supply in China”[J/OL]. Energy of China, (03):59-63+82[2021-04-05] (2021) 

  2. Pet. Explor. Dev. CN Zou 48 02 411 2021 10.1016/S1876-3804(21)60039-3 C.N. Zou, B. Xiong, H.Q. Xue, D.W. Zheng, Z.X. Ge, Y. Wang, L.Y. Jiang, S.Y. Pan, S.T. Wu, “The role of new energy in carbon neutral”[J]. Pet. Explor. Dev. 48(02), 411-420 (2021) 

  3. Chinese Foreign Corp. Cult. M Zhou 01 15 2021 M. Zhou, “Study on the development potential of new energy vehicles under low-carbon economy”[J]. Chinese Foreign Corp. Cult. 01, 15-16 (2021) 

  4. IEEE Trans. Transp. Electr F Berthold 1 2 168 2015 10.1109/TTE.2015.2426508 F. Berthold, A. Ravey, B. Blunier et al., Design and development of a smart control strategy for plug-in hybrid vehicles including vehicle-to-home functionality[J]. IEEE Trans. Transp. Electr 1(2), 168-177 (2015) 

  5. IEEE Instrum. Meas. Mag. K Goebel 11 4 33 2008 10.1109/MIM.2008.4579269 K. Goebel, B. Saha, A. Saxena, J.R. Celaya, J.P. Christophersen, Prognostics in battery health management. IEEE Instrum. Meas. Mag. 11(4), 33-40 (2008) 

  6. Int. J. Progn. Health Manag. N Williard 4 1 1 2013 N. Williard, W. He, M. Osterman, M. Pecht, Comparative analysis of features for determining state of health in lithium-ion batteries. Int. J. Progn. Health Manag. 4(1), 1-7 (2013) 

  7. N. D. Williard, “Degradation analysis and health monitoring of lithium-ion batteries,” Ph.D. dissertation, Dept. Mech. Eng., Univ. Maryland,College Park, MD, USA, (2011) 

  8. J Power Sources W Waag 258 321 2014 10.1016/j.jpowsour.2014.02.064 W. Waag, C. Fleischer, D.U. Sauer, “Critical review of the methodsfor monitoring of lithium-ion batteries in electric and hybrid vehicles.” J Power Sources 258, 321-339 (2014) 

  9. IEEE Trans. K Jonghoon 60 4249 2011 K. Jonghoon, B.H. Cho, Vehicular technology. IEEE Trans. 60, 4249-4260 (2011) 

  10. IEEE Trans. H Tingshu 26 787 2011 H. Tingshu, B. Zanchi, Z. Jianping, Energy conversion. IEEE Trans. 26, 787-798 (2011) 

  11. J. Power Sources Z Chen 240 184 2013 10.1016/j.jpowsour.2013.03.158 Z. Chen, C.C. Mi, Y. Fu, J. Xu, X. Gong, Online battery state of health estimation based on genetic algorithm for electric and hybrid vehicle applications. J. Power Sources 240, 184-192 (2013) 

  12. 10.1109/VPPC.2009.5289654 D. Haifeng, W. Xuezhe, S. Zechang. A new SOH prediction concept for the power lithium-ion battery used on HEVs[J]. Proc IEEE Vppc, 1649-1653 (2009). https://ieeexplore.ieee.org/document/5289654/references#references 

  13. Battery Bimon. L Yu 50 02 136 2020 L. Yu, H.F. Dai, L.Z. Li, “Exploration of charge capacity degradation law of li-ion battery at low temperature”[J]. Battery Bimon. 50(02), 136-140 (2020) 

  14. J. Power Sources. T Waldmann 262 129 2014 10.1016/j.jpowsour.2014.03.112 T. Waldmann, M. Wilka, M. Kasper et al., Temperature dependent ageing mechanisms in Lithium-ion batteries - A Post-Mortem study[J]. J. Power Sources. 262, 129-135 (2014) 

  15. Adv. Technol. Electr. Eng. Energy G Hu 40 02 66 2021 G. Hu, C.L. Liao, W.J. Zhang, “A review on thermal runaway of lithium-ion batteries for electric vehicle”[J]. Adv. Technol. Electr. Eng. Energy 40(02), 66-80 (2021) 

  16. High Vol. Eng. QS Zhang 46 10 3390 2020 Q.S. Zhang, Q.C. Zhao, “Effects of overcharge cycling on the aging and safety of lithium ion batteries”[J]. High Vol. Eng. 46(10), 3390-3397 (2020) 

  17. Fire Prot. Today Y Zhou 5 04 126 2020 Y. Zhou, “Analysis of causes of fire and explosion of lithium battery and analysis of control measures”[J]. Fire Prot. Today 5(04), 126-127 (2020) 

  18. Chin. J. Power Sources. L Sun 42 10 1454 2018 L. Sun, Y.J. Zheng, L. Zhou, X.J. Li, P. Zhou, “Experimental study on overdischarge induced internal short circuit of NCM batteries”[J]. Chin. J. Power Sources. 42(10), 1454-1457+1566 (2018) 

  19. Ind. Mine Automat. JY Chen 45 12 29 2019 J.Y. Chen, Z.H. Wu, J.X. Li, “Aging indexes analysis of explosion-proof lithium battery based on incremental capacity method”[J]. Ind. Mine Automat. 45(12), 29-34 (2019) 

  20. Trans. China Electrotech. Soc. N Xue 32 13 145 2017 N. Xue, B.X. Sun, K. Bai, Z.Q. Han, N. Li, “Different state of charge range cycle degradation mechanism of composite material lithium-ion batteries based on incremental capacity analysis”[J]. Trans. China Electrotech. Soc. 32(13), 145-152 (2017) 

  21. Battery Bimon. GL Wu 04 275 2007 G.L. Wu, “Study on the charge storage performance of li-ion battery”[J]. Battery Bimon. 04, 275-277 (2007) 

  22. Adv. New Renew. Energy Y Li 6 05 394 2018 Y. Li, M.B. Chen, S.L. Lin, W.J. Song, Z.P. Feng, H.Z. Jiang, “Continuous measurement and analysis of the real-time internal resistance of LiFePO4 battery”[J]. Adv. New Renew. Energy 6(05), 394-401 (2018) 

  23. J. Power Sources. M Dubarry 360 59 2017 10.1016/j.jpowsour.2017.05.121 M. Dubarry, M. Berecibar, A. Devie et al., State of health battery estimator enabling degradation diagnosis[J]. J. Power Sources. 360, 59-69 (2017) 

  24. Appl. Energy. M Ouyang 165 48 2016 10.1016/j.apenergy.2015.12.063 M. Ouyang, X. Feng, X. Han et al., A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery[J]. Appl. Energy. 165, 48-59 (2016) 

  25. J. Power Sources. M Dubarry 196 23 10328 2011 10.1016/j.jpowsour.2011.08.077 M. Dubarry, C. Truchot, M. Cugnet et al., Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part I: Initial characterizations[J]. J. Power Sources. 196(23), 10328-10335 (2011). https://doi.org/10.1016/j.jpowsour.2011.08.077 

  26. J. Power Sources. M Dubarry 258 408 2014 10.1016/j.jpowsour.2014.02.052 M. Dubarry, C. Truchot, B.Y. Liaw, Cell degradation in commercial LiFePO4 cells with high-power and high-energy designs[J]. J. Power Sources. 258, 408-419 (2014) 

  27. Electrochem. Solid-State Lett. M Dubarry 9 10 A454 2006 10.1149/1.2221767 M. Dubarry, V. Svoboda, R. Hwu et al., Incremental capacity analysis and close-to-equilibrium ocv measurements to quantify capacity fade in commercial rechargeable lithium batteries[J]. Electrochem. Solid-State Lett. 9(10), A454-A457 (2006) 

  28. J. Power Sources M Dubarry 194 1 541 2009 10.1016/j.jpowsour.2009.05.036 M. Dubarry, B.Y. Liaw, Identify capacity fading mechanism in a commercial LiFePO4 cell[J]. J. Power Sources 194(1), 541-549 (2009) 

  29. J. Power Sources M Dubarry 196 7 3420 2011 10.1016/j.jpowsour.2010.07.029 M. Dubarry, B.Y. Liaw, M.S. Chen et al., Identifying battery aging mechanisms in large format Li ion cells[J]. J. Power Sources 196(7), 3420-3425 (2011) 

  30. J. Power Sources C Weng 235 36 2013 10.1016/j.jpowsour.2013.02.012 C. Weng, Y. Cui, S. Jing et al., On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression[J]. J. Power Sources 235, 36-44 (2013) 

  31. IEEE Trans.Ind. Appl. DI Stroe 56 1 678 2019 10.1109/TIA.2019.2955396 D.I. Stroe, E. Schaltz et al., Lithium-ion battery state-of-health estimation using the incremental capacity analysis technique[J]. IEEE Trans.Ind. Appl. 56(1), 678-685 (2019) 

  32. Advanced Research Projects Agency-Energy (ARPA-E), U. S. Department of Energy, DE-FOA-0000675 Advanced Management and Protection of Energy Storage Devices, Apr. DE-FOA-0000675 (2012). https://arpa-e.energy.gov/ 

  33. IEEE Trans. Ind. Electron. JA Abu Qahouq 64 9 7019 2017 10.1109/TIE.2017.2686324 J.A. Abu Qahouq, Z. Xia, Single-perturbation-cycle online battery impedance spectrum measurement method with closed-loop control of power converter. IEEE Trans. Ind. Electron. 64(9), 7019-7029 (2017) 

  34. H.Y. Liu, Study on the State of Health (SOH) Estimation of lithium-ion battery based on time-domain measurements of impedance spectroscopy”[D], Harbin Institute of Technology, (2018). https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD201901&filename=1018893937.nh&v=6GCtoZxspCDFMy8cBKl%25mmd2FtERgJ0Rg6Lm0nOzt0hnWmrJ5kKTcDxJUiu8BqjZ2wa%25mmd2FC 

  35. S. Bai, “Remaining useful life prediction of lithium-ion battery based on deep learning”[D], Harbin Institute of Technology, (2020). https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD202101&filename=1020399871.nh&v=o7bEslwuI5D%25mmd2BXNwCIPtj9CUn4aJIQa%25mmd2FcxV8zBAC03IhcutmTbz7%25mmd2BkKCZ5DVh5Ncm 

  36. Y.H. Hu, “SOH estimation of lithium battery based on time convolution memory network”[D]. Hangzhou Dianzi University, (2020). https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CMFD&dbname=CMFD202101&filename=1020102665.nh&v=2HIrGwmQyWqVPOtLKdeoZOKehfhj5L33FoHM3fV9vVRXwwnVQv3mr3ycBrYz%25mmd2F%25mmd2BYt 

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