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An accurate parameters extraction method for a novel on-board battery model considering electrochemical properties

机译:考虑电化学特性的新型车载电池模型的精确参数提取方法

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摘要

Accurate battery models are essential for the assessment of battery states and performance. Traditional equivalent circuit model (ECM), e.g. second-order RC model, cannot imitate non-linear characters of Lithium-ion battery especially in low state of charge (SOC) area. Considering the advantages of battery electrochemical and ECM, the paper proposes an electrochemistry-based equivalent circuit model (E-ECM). With only two parameters more than second-order RC model, E-ECM can simulate battery voltage response better. Next, different from the previous model parameters optimization method, a decoupling parameters extraction (DPE) method is studied to derive the more appropriate model parameters for the proposed E-ECM first. The DPE method is believed to relate to battery electrochemical characters. Experiment results show that the obtained E-ECM is of a good performance no matter in the dynamic working conditions, or constant current working condition, especially in low SOC area. Moreover, the proposed E-ECM is able to describe battery rate capability with high accuracy.
机译:准确的电池模型对于评估电池状态和性能至关重要。传统等效电路模型(ECM),例如二阶RC模型无法模拟锂离子电池的非线性特性,尤其是在低电荷状态(SOC)区域中。考虑到电池电化学和ECM的优势,本文提出了一种基于电化学的等效电路模型(E-ECM)。 E-ECM仅具有比二阶RC模型更多的两个参数,因此可以更好地模拟电池电压响应。接下来,与以前的模型参数优化方法不同,研究了一种去耦参数提取(DPE)方法,以便首先为拟议的E-ECM推导更合适的模型参数。据信DPE方法与电池的电化学特性有关。实验结果表明,所获得的E-ECM无论在动态工作条件下还是在恒定电流工作条件下都具有良好的性能,尤其是在低SOC区域。此外,提出的E-ECM能够以高精度描述电池电量。

著录项

  • 来源
    《Journal of Energy Storage》 |2019年第8期|100745.1-100745.12|共12页
  • 作者单位

    Univ Shanghai Sci & Technol, Coll Mech Engn, Shanghai 200093, Peoples R China|Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Univ Shanghai Sci & Technol, Coll Mech Engn, Shanghai 200093, Peoples R China;

    Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;

    Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Electric vehicle; Lithium-ion battery; Battery model; State of charge; Model parameters;

    机译:电动车;锂离子电池;电池型号;充电状态;模型参数;

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