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Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles

机译:用于混合动力电动汽车的锂离子电池动态模型参数的识别

摘要

This paper presents an electrical equivalent circuit model for lithium-ion batteries usedfor hybrid electric vehicles (HEV). 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 arepresented to demonstrate the efficacy of the proposed circuit model and parameter identification techniques for simulating battery dynamics
机译:本文提出了用于混合动力汽车(HEV)的锂离子电池的等效电路模型。该模型有两个RC网络表征电池激活和浓度极化过程。使用组合的实验和扩展卡尔曼滤波器(EKF)递归方法识别模型的参数。分别直接测量电池的开路电压和欧姆电阻,并根据实验测量结果进行计算。使用EKF方法估计其余的耦合动态参数,即RC网络参数。给出了实验和仿真结果,以证明所提出的电路模型和参数识别技术在模拟电池动态方面的功效

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  • 年度 1970
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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