一种基于SOC的主动均衡电池管理系统设计
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摘要
针对串、并联电池组中的各单体电池存在不一致性的问题,提出了DC/DC变换器均衡拓扑下基于SOC的电池均衡控制策略,该方法用Rint-组合电化学模型对单体电池电压进行建模,用粒子滤波算法对单体电池的荷电状态进行实时估计,最后通过优先电池组向低SOC单体电池充电模式或优先高SOC单体电池向电池组充电模式采取均衡,通过实验和仿真结果表明,该方法均衡时间短、能量效率高。
The inconsistency of monomer battery problems in battery of series and parallels,the article puts forward DC/DC converter under balanced topology based on the balance of battery SOC controlling strategy,which applies Rint-combined electrochemical model to modeling of single battery voltage,using particle filter algorithm for realbalanced battery charging mode by the low monomer battery SOC model via the preferred battery or priority high monomer battery SOC. The experiment and simulation results show that the method of equilibrium time is short,high energy efficiency.
The inconsistency of monomer battery problems in battery of series and parallels,the article puts forward DC/DC converter under balanced topology based on the balance of battery SOC controlling strategy,which applies Rint-combined electrochemical model to modeling of single battery voltage,using particle filter algorithm for realbalanced battery charging mode by the low monomer battery SOC model via the preferred battery or priority high monomer battery SOC. The experiment and simulation results show that the method of equilibrium time is short,high energy efficiency.
引文
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[2]张逸,林焱,吴丹岳.电能质量监测系统研究现状及发展趋势[J].电力系统保护与控制,2015(2):138-147.
[3]陈林,张持健,殷安龙,等.基于LabVIEW的锂电池监测系统及SOC预测研究[J].电子设计工程,2016(8):73-75.
[4]Ting He,Donghai Li,Zhenlong Wu,et al. A modified luenberger observer for SOC estimation of lithium-ion battery[C]//The 36th Chinese Control and Decision Conference,2017:927-928.
[5]Hanmin Sheng,Jian Xiao,Peng Wang. Lithium iron phosphate battery electric vehicle state-ofcharge estimation based on evolutionary gaussian mixture regression[J]. IEEE Transaction on Indus?trial Electronics. 2017,64(1):544-551.
[6]Nejad S,Gladwin D T,Stone D A. A Systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states[J].Journal of Power Sources,2016(316):183-196.
[7]VO T T,Chen X,Shen W,et a1. New charging strategy for lithium-ion batteries based on the integration of Taguchi method and state of charge estimation[J].Journal ofPower Sources,2015(273):413-422.
[8]Zhang Y,Wang S F,Lui J C.Improved particle fil?tering techniques based on generalized interactive genetic algorithm[J].Journal of Systems Engineer?ing and Electronics,2016,27(1):242-250.
[9]乔旭彤,耿海洲,董峰.集中式电动汽车电池管理系统设计[J].电子测量与仪器学报,2015,29(7):1019-1027.
[10]Guo Y,Zhao Z,Huang L. SOC Estimation of lithi?um battery based on Improved BP neural network[J].Energy Procedia,2017,105:4153-4158.
[11]Li Y,Wang C,Gong J.A combination Kalman filter approach for state of charge estimation of Lithium?ion battery considering model uncertainty[J].Ener?gy,2016(109):933-946.
[12]张吉宣,贾建芳,曾建潮.电动汽车供电系统锂电池剩余寿命预测[J].电子测量与仪器学报,2018(3):60-66.
[13]CampoleoniA,Gonzalez H A,Oblak B,et al. BMS modules In three dimensions[J].International Jour?nal of Modern Physics A,2016,31(12):165-170.
[14]Arjun Bagchi;Mirah Gary and Zodinmawia. The nuts and bolts of the BM Sbootstrap[J].Classical and Quantum Gravity,2017,34(17):174-175.
[15]刘谦,何明前,范世军,等.基于LTC6804的电池参数采集系统设计[J].工业控制计算机,2015,28(1):144-145.
[16]张松,张会林,金焱飞,等.一种150 V矿用锂电池管理系统的SOC估算策略[J].电源技术,2017,45(1):41-43.