考虑温度影响和滞回效应的锂电池特性建模
|
摘要
为提高锂电池建模精度,对滞回电压引起的SOC估计误差进行分析,表明锂电池建模不可忽略滞回效应的影响。通过对不同温度下滞回电压变化规律和影响锂电池动态特性的内部电化学过程的分析,提出锂电池等效滞回模型。利用不同温度下小倍率恒流充放电实验和城市道路循环工况分别对电池模型开路电压和阻抗参数进行辨析。最后将模型输出端电压和SOC估计值与实验值进行对比,结果表明在锂电池建模时考虑滞回效应的影响可将模型精度提高一倍。
In order to improve the accuracy of lithium battery model, the SOC estimation error caused by hysteresis voltage is analyzed, indicating that the influence of hysteresis cannot be neglected in modeling lithium battery. Thus an equivalent hysteresis model for lithium battery is proposed based on the analysis on the changing pattern of hysteresis voltage at different temperatures and the internal electrochemical processes, affecting the dynamic characteristics of lithium battery. Then the OCV and impedance parameters are discriminated respectively by using the small constant rate charge-discharge experiment at different temperatures and the urban road driving cycle. Finally, the estimated terminal voltage and SOC of battery model are compared with experimental data. The results show that the accuracy of model can be doubled when the hysteresis effect is taken into account in lithium battery modeling.
In order to improve the accuracy of lithium battery model, the SOC estimation error caused by hysteresis voltage is analyzed, indicating that the influence of hysteresis cannot be neglected in modeling lithium battery. Thus an equivalent hysteresis model for lithium battery is proposed based on the analysis on the changing pattern of hysteresis voltage at different temperatures and the internal electrochemical processes, affecting the dynamic characteristics of lithium battery. Then the OCV and impedance parameters are discriminated respectively by using the small constant rate charge-discharge experiment at different temperatures and the urban road driving cycle. Finally, the estimated terminal voltage and SOC of battery model are compared with experimental data. The results show that the accuracy of model can be doubled when the hysteresis effect is taken into account in lithium battery modeling.
引文
[1] 李佩珩,易翔翔,侯福深.国外电动汽车发展现状及对我国电动汽车发展的启示[J].北京工业大学学报,2004,30(1):49-54.
[2] 张利,张庆,常成,等.用于电动汽车SOC估计的等效电路模型研究[J].电子测量与仪器学报,2014(10):1161-1168.
[3] XING Y, HE W, PECHT M, et al. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures[J]. Applied Energy,2014,113(1):106-115.
[4] MARONGIU A, NUBBAUM F G W, WAAG W, et al. Comprehensive study of the influence of aging on the hysteresis behavior of a lithium iron phosphate cathode-based lithium ion battery-an experimental investigation of the hysteresis[J]. Applied Energy,2016,171:629-645.
[5] EICHI H R, CHOW M Y. Modeling and analysis of battery hysteresis effects[C]. Energy Conversion Congress and Exposition. IEEE,2012:4479-4486.
[6] KIM T, QIAO W, QU L. Hysteresis modeling for model-based condition monitoring of lithium-ion batteries[C]. Energy Conversion Congress and Exposition. IEEE,2015.
[7] 黄凯,郭永芳,李志刚.考虑迟滞效应影响的动力锂离子电池特性建模[J].电网技术,2017,41(8):2695-2701.
[8] HUSSEIN A H, KUTKUT N, BATARSEH I. A hysteresis model for a Lithium battery cell with improved transient response[C]. Applied Power Electronics Conference and Exposition. IEEE,2011:1790-1794.
[9] 程泽,吕继考,刘继光.等效滞回模型在锂离子电池SOC估计中的应用[J].湖南大学学报:自科科学版,2015,42(4):63-70.
[10] GARCíA-PLAZA M, SERRANO-JIMéNEZ D, CARRASCO E G, et al. A Ni-Cd battery model considering state of charge and hysteresis effects[J]. Journal of Power Sources,2015,275:595-604.
[11] BIRKL C R, HOWEY D A. Model identification and parameter estimation for LiFePO4 batteries[C]. Hybrid and Electric Vehicles Conference. IET,2014:2.1-2.1.
[12] KIM T, WANG Y, SAHINOGLU Z, et al. State of charge estimation based on a realtime battery model and iterative smooth variable structure filter[C]. Innovative Smart Grid Technologies-Asia. IEEE,2014:132-137.
[13] PETZL M, DANZER M A. Advancements in OCV measurement and analysis for lithium-ion batteries[J]. IEEE Transactions on Energy Conversion,2013,28(3):675-681.
[14] BARAI A, WIDANAGE W D, MARCO J, et al. A study of the open circuit voltage characterization technique and hysteresis assessment of lithium-ion cells[J]. Journal of Power Sources,2015,295:99-107.
[15] ZHENG F, XING Y, JIANG J, et al. Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries[J]. Applied Energy,2016,183:513-525.
[2] 张利,张庆,常成,等.用于电动汽车SOC估计的等效电路模型研究[J].电子测量与仪器学报,2014(10):1161-1168.
[3] XING Y, HE W, PECHT M, et al. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures[J]. Applied Energy,2014,113(1):106-115.
[4] MARONGIU A, NUBBAUM F G W, WAAG W, et al. Comprehensive study of the influence of aging on the hysteresis behavior of a lithium iron phosphate cathode-based lithium ion battery-an experimental investigation of the hysteresis[J]. Applied Energy,2016,171:629-645.
[5] EICHI H R, CHOW M Y. Modeling and analysis of battery hysteresis effects[C]. Energy Conversion Congress and Exposition. IEEE,2012:4479-4486.
[6] KIM T, QIAO W, QU L. Hysteresis modeling for model-based condition monitoring of lithium-ion batteries[C]. Energy Conversion Congress and Exposition. IEEE,2015.
[7] 黄凯,郭永芳,李志刚.考虑迟滞效应影响的动力锂离子电池特性建模[J].电网技术,2017,41(8):2695-2701.
[8] HUSSEIN A H, KUTKUT N, BATARSEH I. A hysteresis model for a Lithium battery cell with improved transient response[C]. Applied Power Electronics Conference and Exposition. IEEE,2011:1790-1794.
[9] 程泽,吕继考,刘继光.等效滞回模型在锂离子电池SOC估计中的应用[J].湖南大学学报:自科科学版,2015,42(4):63-70.
[10] GARCíA-PLAZA M, SERRANO-JIMéNEZ D, CARRASCO E G, et al. A Ni-Cd battery model considering state of charge and hysteresis effects[J]. Journal of Power Sources,2015,275:595-604.
[11] BIRKL C R, HOWEY D A. Model identification and parameter estimation for LiFePO4 batteries[C]. Hybrid and Electric Vehicles Conference. IET,2014:2.1-2.1.
[12] KIM T, WANG Y, SAHINOGLU Z, et al. State of charge estimation based on a realtime battery model and iterative smooth variable structure filter[C]. Innovative Smart Grid Technologies-Asia. IEEE,2014:132-137.
[13] PETZL M, DANZER M A. Advancements in OCV measurement and analysis for lithium-ion batteries[J]. IEEE Transactions on Energy Conversion,2013,28(3):675-681.
[14] BARAI A, WIDANAGE W D, MARCO J, et al. A study of the open circuit voltage characterization technique and hysteresis assessment of lithium-ion cells[J]. Journal of Power Sources,2015,295:99-107.
[15] ZHENG F, XING Y, JIANG J, et al. Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries[J]. Applied Energy,2016,183:513-525.