EQUIVALENT CIRCUIT MODEL OF LITHIUM-ION BATTERIES ATTACHED CONTROLLED VOLTAGE SOURCE IN ENERGY STORAGE SYSTEM

Liu Yujie; Zhao Wei; Sun Xiaofeng; Wang Baocheng; Li Xin

doi:10.19912/j.0254-0096.tynxb.2022-0492

PDF(2335 KB)

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (8) : 1-9. DOI: 10.19912/j.0254-0096.tynxb.2022-0492

EQUIVALENT CIRCUIT MODEL OF LITHIUM-ION BATTERIES ATTACHED CONTROLLED VOLTAGE SOURCE IN ENERGY STORAGE SYSTEM

Liu Yujie, Zhao Wei, Sun Xiaofeng, Wang Baocheng, Li Xin

Author information +

History +

Abstract

This article proposed a model improvement method based on the second-order RC equivalent circuit model, which was carried out under testing conditions of missing temperature sample and fewer discharge current sample. And a BP neural network was constructed to predict the terminal voltage error of the model in a wide range of temperature and current rates, in order to achieve dynamic compensation of the model. This method can avoid the loss of cycle life caused by repeated charging and discharging experiments of lithium-ion batteries. The simulation and experimental results indicate that the proposed small sample data expansion method is feasible; The battery model with an additional controllable voltage source has better adaptability at different temperatures and current rates, improving the accuracy of the model. Through model analysis, batteries are screened to form a cascade utilization energy storage system, and combined with battery models to achieve SOC prediction and heat warning. The model has practical engineering significance for the application of new energy generation battery energy storage systems.

Key words

lithium-ion batteries / equivalent circuit / neural network / small sample data expansion / additional controlled voltage source / energy storage

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Liu Yujie, Zhao Wei, Sun Xiaofeng, Wang Baocheng, Li Xin. EQUIVALENT CIRCUIT MODEL OF LITHIUM-ION BATTERIES ATTACHED CONTROLLED VOLTAGE SOURCE IN ENERGY STORAGE SYSTEM[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 1-9 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0492

References

[1] 马玲, 魏成伟, 谢丽蓉, 等. 基于退役动力电池的风储有功功率协调控制策略[J]. 太阳能学报, 2021,42(10): 437-443.
MA L, WEI C W, XIE L R, et al.Coordinated control strategy for wind storage active power of decommissioned power battery[J]. Acta energiae solaris sinica, 2021, 42(10): 437-443.
[2] 李培强, 李雄, 蔡笋, 等. 风电场含退役动力电池的混合储能系统容量优化配置[J]. 太阳能学报, 2022, 43(5): 492-498.
LI P Q, LI X, CAI S, et al.Capacity optimization configuration of hybrid energy storage system with retired power batteries in wind farms[J]. Acta energiae solaris sinica, 2022, 43(5): 492-498.
[3] 郑志坤, 赵光金, 金阳, 等. 基于库仑效率的退役锂离子动力电池储能梯次利用筛选[J]. 电工技术学报, 2019, 34(S1): 388-395.
ZHENG Z K, ZHAO G J, JIN Y, et al.The reutilization screening of retired electric vehicle lithium-ion battery based on coulombic efficiency[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 388-395.
[4] 李建林, 李雅欣, 吕超, 等. 碳中和目标下退役电池筛选聚类关键技术研究[J]. 电网技术, 2022, 46(2): 429-441.
LI J L, LI Y X, LYU C,et al.Key technology of retired batteries’screening and clustering under target of carbon neutrality[J]. Power system technology, 2022, 46(2): 429-441.
[5] 陈息坤, 孙冬. 锂离子电池建模及其参数辨识方法研究[J]. 中国电机工程学报, 2016, 36(22): 6254-6261.
CHEN X K, SUN D.Research on lithium-ion battery modeling and model parameter identification methods[J]. Proceedings of the CSEE, 2016, 36(22): 6254-6261.
[6] SEAMAN A, DAO T S, MCPHEE J.A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation[J]. Journal of power sources, 2014, 256: 410-423.
[7] CHU Z Y, FENG X N, LU L L, et al.Non-destructive fast charging algorithm of lithium-ion batteries based on the control-oriented electrochemical model[J]. Applied energy, 2017, 204: 1240-1250.
[8] ZHENG L F, ZHU J G, WANG G X, et al.Lithium-ion battery instantaneous available power prediction using surface lithium concentration of solid particles in a simplified electrochemical model[J]. IEEE transactions on power electronics, 2018, 30(11): 9551-9560.
[9] NEMES R O, CIORNEI S M, RUBA M, et al.Parameters identification using experimental measurements for equivalent circuit lithium-ion cell models[C]//2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), Bucharest, Romania, 2019: 1-6.
[10] HU X S, LI S B, PENG H.A comparative study of equivalent circuit models for Li-ion batteries[J]. Journal of power sources, 2012, 198: 359-367.
[11] HUANG K F, WANG Y, FENG J Q.Research on equivalent circuit model of lithium-ion battery for electric vehicle[C]//2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM),Shanghai, China, 2020: 492-496.
[12] THAKKAR R R, RAO Y S, SAWANT R R.Performance analysis of electrical equivalent circuit models of lithium-ion battery[C]//2020 IEEE Pune Section International Conference (PuneCon), Pune, India, 2020: 103-107.
[13] HE H W, XIONG R, FA J X.Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach[J]. Energies, 2011, 4(4): 582-598.
[14] CHO S W, JEONG H S, HAN C H, et al.State-of-charge estimation for lithium-ion batteries under various operating conditions using an equivalent circuit model[J]. Computers & chemical engineering, 2012, 41: 1-9.
[15] LIU C Z, LIU W Q, WANG L Y, et al.A new method of modeling and state of charge estimation of the battery[J]. Journal of power sources, 2016, 320: 1-12.
[16] JOHNSON V H.Battery performance models in ADVISOR[J]. Journal of power sources, 2002, 110(2): 321-329.
[17] XIA B Z, SUN Z, ZHANG R F, et al.A cubature particle filter algorithm to estimate the state of the charge of lithium-ion batteries based on a second-order equivalent circuit model[J]. Energies, 2017, 10(4): 457-472.
[18] 户龙辉, 李欣然, 黄际元, 等. 考虑多因素的磷酸铁锂电池综合建模研究[J]. 电源技术, 2016, 40(3): 514-518.
HU L H, LI X R, HUANG J Y, et al.Various factors LiFePO₄ battery modeling study consideration[J]. Chinese journal of power sources, 2016, 40(3): 514-518.
[19] 张绍虹, 王晓佳, 李杰. 基于Thevenin模型的锂离子电池温度特性研究[J]. 中国科技论文, 2018, 13(23): 2718-2722.
ZHANG S H, WANG X J, LI J.Study on the temperature characteristics of lithium ion battery using Thevenin model[J]. China sciencepaper, 2018, 13(23): 2718-2722.
[20] RUBA M, CIORNEI S, NEMES R, et al.Detailed design of second order model of lithium-ion battery simulator based on experimental measurements[C]//2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), Bucharest, Romania, 2019: 1-6.
[21] HE Z C, YANG G, LU L G.A parameter identification method for dynamics of lithium iron phosphate batteries based on step-change current curves and constant current curves[J]. Energies, 2016, 9(6): 444-468.
[22] HURIA T, LUDOVICI G, LUTZEMBERGER G.State of charge estimation of high power lithium iron phosphate cells[J]. Journal of power sources, 2014, 249: 92-102.
[23] MIN C, RINCON-MORA G A. Accurate electrical battery model capable of predicting runtime and I-V performance[J]. IEEE transactions on energy conversion, 2006, 21(2): 504-511.
[24] HEERMANN P D, KHAZENIE N.Classification of multispectral remote sensing data using a backpropagation neural network[J]. IEEE transactions on geoscience and remote sensing, 1992, 30(1): 81-88.