Abstract
The lithium-ion power battery is widely used in energy management system of electric vehicles. Our study proposed an adaptive optimal charge strategy based on multi-objective particle swarm optimization algorithm. The basic principles of multi-objective algorithm are introduced and the physical performance of lithium-ion battery based on different charge mode is discussed. In our research, the internal charge resistance and charge capacity value are analyzed under different charge current. The simulation model of our new method is established and the parameters are calculated. The experiments are operated to verify the influence of the charge stage number, cutoff voltage and inertia weights. The results indicate that our new charge strategy can be applied to the field of grid energy storage and expand the application scope of lithium-ion power battery.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Asakura, K., Shimoura, M., & Shodai, T. (2003). Study of life evaluation methods for li-ion batteries for backup applications. Journal of Power Sources, 119–121, 902–905. https://doi.org/10.1016/S0378-7753(03)00208-8
Deng, T., Lin, C. S., & Lu, R. Z. (2016). A research on NSGA-II multi-objective optimization for HEV energy management parameters based on Pareto principle. Automotive Engineering, 38(5), 531–537. https://www.researchgate.net/publication/305159886
Du, J.Y., Liu, Y., Mo, X. Y. (2019). Impact of high-power charging on the durability and safety of lithium batteries used in long-range battery electric vehicles. Applied Energy. 2551, Article 113793. https://www.sciencedirect.com/science/article/abs/pii/S0306261919314801
Gorbunova, A. D., & Anisimov, I. A. (2020). Assessment of the use of renewable energy sources for the charging infrastructure of electric vehicles. Emerging Science Journal, 4(6), 539–550. https://doi.org/10.28991/esj-2020-01251
Jisu, K., Shrine, M., Nithya, J., Gibaek, L (2020). Superior fast-charging capability of graphite anode via facile surface treatment for lithium-ion batteries. Microporous and Mesoporous Materials. Available online, Article 110325. DOI: https://doi.org/10.1016/j.micromeso.2020.110325
Khalaf, T. Z., Alar, H., Alar, A., & Hanoon, A. N. (2020). Particle swarm optimization based approach for estimation of costs and duration of construction projects. Civil Engineering Journal., 6(2), 384–401. https://doi.org/10.28991/cej-2020-03091478
Li, L., Wang, W. L., & Xu, X. L. (2017). Multi-objective particle swarm optimization based on grid ranking. Journal of Computer Research and Development, 54(5), 1012–1023. https://doi.org/10.7544/issn1000-1239.2017.20160074
Li, W., & Li, H. C. (2014). Multi-objective evolutionary algorithm based on space-gridding scheme. Computer Engineering and Applications., 50(8), 53–56.
Liu, Y. H., & Luo, Y. F. (2010). Search for an optimal rapid-charging pattern for li-ion batteries using the Taguchi approach. IEEE Transactions on Industrial Electronics, 57(12), 3963–3971. https://doi.org/10.1109/TIE.2009.2036020
Liu, Y. H., & Teng, J. H. (2005). Search for an optimal rapid charging pattern for lithium-ion batteries using ant colony system algorithm. IEEE Transactions on Industrial Electronics, 52(5), 1328–1336. https://doi.org/10.1109/TIE.2005.855670
Mai, W. J., Francois, L. E., Usseglio Viretta, M., Andrew, K. S. (2020). Enabling fast charging of lithium-ion batteries through secondary-/dual-pore network: Part II-numerical model. Electrochimica Acta. 3411, Article 136013. https://doi.org/10.1016/j.electacta.2020.136034
Minseok, S., Choe, S.Y. (2019). Fast and safe charging method suppressing side reaction and lithium deposition reaction in lithium ion battery. Journal of Power Sources. 436, Article 226835. DOI: https://doi.org/10.1016/j.jpowsour.2019.226835
Nazir, C. (2019). Solar energy for traction of high speed rail transportation: a techno-economic analysis. Civil Engineering Journal, 5(7), 1566–1576. https://doi.org/10.28991/cej-2019-03091353
Rachmawati, L., & Srinivasan, D. (2009). Multi-objective evolutionary algorithm with controllable focus on the knees of the Pareto front. IEEE Transactions on Evolutionary Computation., 13(4), 810–824. https://doi.org/10.1109/TEVC.2009.2017515
Ramasamy, R. P., White, R. E., & Popov, B. N. (2005). Calendar life performance of Pouch lithium-ion cells. Journal of Power Sources, 141, 298–306. https://doi.org/10.1016/j.jpowsour.2004.09.024
Rodríguez, A. J., Serrano, A., Benjumea, T., Rafael BorjaElKaoutit, M. M., & Fermoso, F. G. (2019). Decreasing microbial fuel cell start-up time using multi-walled carbon nanotubes. Emerging Science Journal, 3(2), 109–114. https://doi.org/10.28991/esj-2019-01174
Sieg, J., Bandlow, J., Mitsch, T., Dragicevic, D., & Sauer, D. U. (2019). Fast charging of an electric vehicle lithium-ion battery at the limit of the lithium deposition process. Journal of Power Sources, 4271, 260–270. https://doi.org/10.1016/j.jpowsour.2019.04.047
Slavova, M., Mihaylova-Dimitrova, E., Mladenova, E., & Abrashev, B. (2020). Zeolite based air electrodes for secondary batteries. Emerging Science Journal, 4(1), 18–24. https://doi.org/10.28991/esj-2020-01206
Song, Z., Hofmann, H., Lin, X., Han, X., & Hou, J. (2018). Parameter identification of lithium-ion battery pack for different applications based on Cramer-Rao bound analysis and experimental study. Applied Energy, 231, 1307–1318. https://doi.org/10.1016/j.apenergy.2018.09.126
Sun, J. L. (2016). Research on the key technologies of electric vehicle battery management in high latitude and cold region. Harbin Institute of Technology.
Tomohiko, I., Nobuyuki, S., Jun-ich, M., Kazsuyuki, K., et al. (2002). Multi-step constant-current charging method for an electric vehicle nickel/metal hydride battery with high-energy efficiency and long cycle life. Journal of Power Sources, 105(1), 6–12. https://doi.org/10.1016/S0378-7753(01)00907-7
Upender, R.K., Zhang, C., Romeo Malik, T., Q., Dinh, J. M. (2019). The development of optimal charging strategies for lithium-ion batteries to prevent the onset of lithium plating at low ambient temperatures. Journal of Energy Storage. 24, Article 100798. https://www.sciencedirect.com/science/article/abs/pii/S2352152X19300891
Wang, F. (2017). Research on Intelligent Charging Strategy of Li-Ion Power Battery. Shandong University.
Yang, F., Qiao, Y. L., Gan, D. G., Wang, Q., & Chen, W. (2017). Lithium-Ion battery polarization characteristics at different charging modes. Transactions of China Electrotechnical Society, 32(12), 171–178. http://en.cnki.com.cn/Article_en/CJFDTOTAL-DGJS201712021.htm
Zhang, X.W., Wu, Q. P. (2020). Lithium dendrite-free and fast-charging for high voltage nickel-rich lithium metal batteries enabled by bifunctional sulfone-containing electrolyte additives. Journal of Power Sources. 45215, Article 227833. https://doi.org/10.1016/j.jpowsour.2020.227833.
Zhu, J., Sin, Z., Wei, X., Dai, H., & Gu, W. (2017). Experimental investigations of an AC pulse heating method for vehicular high power lithium-ion batteries at subzero temperatures. Journal of Power Sources, 367, 145–157. https://doi.org/10.1016/j.jpowsour.2017.09.063
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wang, Q., Wo, Q. & Qi, W. Adaptive Optimal Charge Strategy for Lithium-ion Power Battery Based on Multi-Objective Algorithm. J Control Autom Electr Syst 32, 1408–1416 (2021). https://doi.org/10.1007/s40313-021-00759-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40313-021-00759-0