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Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles 被引量:4

Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles
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摘要 An electrical equivalent circuit model for lithium-ion batteries used for hybrid electric vehicles (HEV) is presented. The model has two RC networks characterizing battery activation and concentration polarization process. The parameters of the model are identified using combined experimental and extended Kalman filter (EKF) recursive methods. The open-circuit voltage and ohmic resistance of the battery are directly measured and calculated from experimental measurements, respectively. The rest of the coupled dynamic parameters, i.e. the RC network parameters, are estimated using the EKF method. Experimental and simulation results are presented to demonstrate the efficacy of the proposed circuit model and parameter identification techniques for simulating battery dynamics.
出处 《High Technology Letters》 EI CAS 2010年第1期6-12,共7页 高技术通讯(英文版)
关键词 parameter identification dynamic battery model lithium-ion battery hybrid electric vehicles (HEV) 锂离子电池 模型参数 混合动力 电动 车用 扩展卡尔曼滤波 等效电路模型 鉴定
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  • 1Bumby J R,Clarke P H,Forster I.Computer modelling of the automotive energy requirements for international combustion engine and battery electric-powered vehicle.IEE Proceedings A Science,Measurement and Technology,1985,132(5):265-279. 被引量:1
  • 2Glass Michael C.Battery electrochemical nonlinear/dynamic spice model.In:Proceedings of the 31st Intersociety Energy Conversion Engineering Conference,Washington D.C.,USA,1996.292-297. 被引量:1
  • 3O'Gorman C C,Ingersoll D,F'aez T L.Artificial neural network simulation of battery Performance.In:Proceedings of IEEE Hawaii International Conference on System Sciences,Kohala Coast,HI,USA,1998.115-121. 被引量:1
  • 4Cai C H,Du D,Liu Z Y,et al.Modelling and identification of Ni-MH battery using dynamic neural network.In:Proceedings of IEEE the First International Conference on Machine Learning and Cybernetics,Beijing,China,2002.1594-1600. 被引量:1
  • 5Salameh Z M,Casacca M A,Lynch W A.A mathematical model for lead-acid batteries.IEEE Transactions on Energy Conversions,1992,7(1):93-97. 被引量:1
  • 6Johnson V H.Battery performance models in ADVISOR.Journal of Power Sources,2002,110(8):321-329. 被引量:1
  • 7IEEEL (Idaho National Engineering & Environmental Laboratory).PNGV Battery Test Manual.Idaho:Idaho National Engineering & Environmental Laboratory,2003. 被引量:1
  • 8Schweighofer B,Raab K M,Brasseur G.Modeling of high power automotive batteries by the use of an automated test system.IEEE Transactions on Instrumentation and Measurement,2003,52(4):1087-1091. 被引量:1
  • 9Kroeze R C,Krein P T.Electrical battery model for use in dynamic electric vehicle simulations.In:Proceedings of IEEE Power Electronics Specialists Conference,Rhodes,Greece,2008.1336-1342. 被引量:1
  • 10Vasebi A,Bathaee S M T,Partovibakhsh M.Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter.Energy Conversion and Management,2008,49(1):75-82. 被引量:1

同被引文献20

  • 1赵万忠,施国标,林逸,石培吉,李强.基于遗传算法的EPS系统参数优化[J].吉林大学学报(工学版),2009,39(2):286-290. 被引量:14
  • 2卢居霄,林成涛,陈全世,韩晓东.三类常用电动汽车电池模型的比较研究[J].电源技术,2006,30(7):535-538. 被引量:49
  • 3林琳,王树勋,魏小丽.基于遗传模糊高斯混合模型的训练方法[J].吉林大学学报(工学版),2006,36(6):967-972. 被引量:3
  • 4林成涛.电动汽车用镍氢电池组的建模及管理技术研究[D].北京:清华大学,2005. 被引量:3
  • 5INEEL (Idaho National Engineering & Environmental Laboratory). Battery Test Manual For Plug-ln Hybrid Electric Vehicles[M].ldaho: INEEL ,2008. 被引量:1
  • 6Chen M, Rinc'on-Mora G A.Accurate electrical battery model capable of predicting runtime and I-V performance[J].IEEE Trans on Energy Conversion,2006,21(2):504-511. 被引量:1
  • 7Kroeze R C, Krein P T.Electrical battery model for use in dynamic electric vehicle simulations[C]//Proceedings of IEEE Power Electronics Specialists Conference,Rhodes,2008:1336-1342. 被引量:1
  • 8Dhaouadi R, Mohan N, Norum L.Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motor[J].IEEE Trans Power Electrons,1991,6(3):491-497. 被引量:1
  • 9Simon D.Optimal State Estimation:Kalman, H Infinity, and Nonlinear Approaches[M].Hoboken, New Jersey:John Wiley &Sons, 2006. 被引量:1
  • 10Vasebi A, Bathaee S M T, Partovibakhsh M.Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended kalman filter[J].Energy Conversion and Management,2008,49(1):75-82. 被引量:1

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