Abstract
Lithium-ion battery fast charging issues have become a crucial factor for the promotion of consumer interest in commercialization, such as mobile devices and electric vehicles (EVs). This paper focuses on the experimental research on fast charging. A battery thermal model is introduced to investigate the temperature variation at high charging current rates 1C, 3C, 4C, 5C. And charging experiments are taken at these current rates respectively. The results show that high charging current rates could effectively reduce charging time. Besides, batteries can be charged to 77.5%, 76.2%, 72.5% of the capacity at 3C, 4C, 5C current rates respectively. The maximum temperature rises during charging are 4.5 °C, 5.5 °C, 6.6 °C respectively.
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References
Ansean, D., Dubarry, M., Devie, A., Liaw, B.Y., Garcia, V.M., Viera, J.C., Gonzalez, M.: Fast charging technique for high power LiFePO4 batteries: a mechanistic analysis of aging. J. Power Sources 321, 201–209 (2016)
Thanh, T.V., Xiaopeng, C., Weixiang, S., Kapoor, A.: New charging strategy for lithium-ion batteries based on the integration of Taguchi method and state of charge estimation. J. Power Sources 273, 413–422 (2015)
Zheng, C., Bing, X., Mi, C.C., Rui, X.: Loss-minimization-based charging strategy for lithium-ion battery. IEEE Trans. Ind. Appl. 51(5), 4121–4129 (2015)
Ansean, D., Gonzalez, M., Viera, J.C., Garcia, V.M., Blanco, C., Valledor, M.: Fast charging technique for high power lithium iron phosphate batteries: a cycle life analysis. J. Power Sources 239, 9–15 (2013)
Liu, Y.H., Luo, Y.F.: Search for an optimal rapid-charging pattern for Li-ion batteries using the Taguchi approach. IEEE Trans. Ind. Electron. 57(12), 3963–3971 (2010)
Chen, L.R., Chen, J.J., Chu, N.Y., Han, G.Y.: Current-pumped battery charger. IEEE Trans. Ind. Electron. 55(6), 2482–2488 (2008)
Zhang, C., Jiang, J., Gao, Y., Zhang, W., Liu, Q., Hu, X.: Charging optimization in lithium-ion batteries based on temperature rise and charge time. Appl. Energy 194, 569–577 (2017)
Liu, K., Li, K., Yang, Z., Zhang, C., Deng, J.: An advanced lithium-ion battery optimal charging strategy based on a coupled thermoelectric model. Electrochim. Acta 225, 330–344 (2017)
Rad, M.S., Danilov, D.L., Baghalha, M., Kazemeini, M., Notten, P.H.L.: Adaptive thermal modeling of Li-ion batteries. Electrochim. Acta 102, 183–195 (2013). doi:10.1016/j.electacta.2013.03.167
Acknowledgments
This research was supported by “Natural Science Foundation of Jiangsu Province”, No. BK20160837 and “Henan scientific and technological research program” Research and development of battery management system for new energy vehicles under complex operating conditions (152102210120).
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Sun, J., Li, L., Yang, F., Li, Q., Wu, C. (2017). Experimental Research on Power Battery Fast Charging Performance. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_38
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DOI: https://doi.org/10.1007/978-981-10-6364-0_38
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