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State of charge estimation of high power lithium iron phosphate cells

机译:大功率磷酸铁锂锂电池的荷电状态估算

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摘要

This paper describes a state of charge (SOC) evaluation algorithm for high power lithium iron phosphate cells characterized by voltage hysteresis. The algorithm is based on evaluating the parameters of an equivalent electric circuit model of the cell and then using a hybrid technique with adequate treatment of errors, through an additional extended Kalman filter (EKF). The model algorithm has been validated in terms of effectiveness and robustness by several experimental tests.
机译:本文介绍了一种具有电压滞后特性的高功率磷酸铁锂电池的荷电状态(SOC)评估算法。该算法基于评估电池等效电路模型的参数,然后使用通过附加扩展卡尔曼滤波器(EKF)对错误进行适当处理的混合技术。该模型算法已经通过几次实验测试在有效性和鲁棒性方面得到了验证。

著录项

  • 来源
    《Journal of power sources》 |2014年第1期|92-102|共11页
  • 作者单位

    Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, Largo Lucio Lazzarino n. 1, 56123 Pisa, Italy;

    Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, Largo Lucio Lazzarino n. 1, 56123 Pisa, Italy;

    Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, Largo Lucio Lazzarino n. 1, 56123 Pisa, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lithium battery; Battery modelling; State of charge evaluation; Extended Kalman filter; Electric vehicles; Hybrid vehicles;

    机译:锂电池;电池建模;充电状态评估;扩展卡尔曼滤波器电动汽车;混合动力汽车;

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