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An improved electro-thermal battery model complemented by current dependent parameters for vehicular low temperature application

机译:一种改进的电热电池模型,辅以与电流有关的参数,可用于车辆低温应用

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摘要

An improved electro-thermal model is proposed considering the dependency of parameters not only on temperature and SoC (state of charge), but also on current rate. All the impedance parameters involved in the model are extracted from the direct current internal resistance (DCIR) tests, in which more than four hundred data sets are obtained in order to investigate the dependency of parameters on temperature, SoC, and current comprehensively. All dependency relationships are formulated by a semi-empirical approach based on the derivation of Butler-Volmer equation and Arrhenius empirical equation with other mathematical analysis. Verification results show that the improved model complemented by current dependent parameters can provide good prediction both in voltage and temperature responses for wide ranges of applied current rates and temperatures. Furthermore, in order to extend the engineering application of the proposed model, a nested loop program invoking the improved electro-thermal model is presented to predict the power performance of the battery. The effects of temperature and SoC on the available maximum cell output power are illustrated with a series of simulated contours.
机译:提出了一种改进的电热模型,该模型不仅考虑了参数对温度和SoC(充电状态)的依赖性,而且还对电流速率的依赖性。该模型涉及的所有阻抗参数均从直流内部电阻(DCIR)测试中提取,其中获得了400多个数据集,以便全面研究参数对温度,SoC和电流的依赖性。基于Butler-Volmer方程和Arrhenius经验方程以及其他数学分析,通过半经验方法来制定所有依赖关系。验证结果表明,改进后的模型辅以电流相关参数,可以在广泛的电流速率和温度范围内提供良好的电压和温度响应预测。此外,为了扩展所提出模型的工程应用,提出了调用改进电热模型的嵌套循环程序来预测电池的功率性能。温度和SoC对可用最大电池输出功率的影响通过一系列模拟轮廓进行了说明。

著录项

  • 来源
    《Applied Energy》 |2019年第15期|149-161|共13页
  • 作者单位

    Karlsruhe Inst Technol, Inst Appl Mat, D-76344 Eggenstein Leopoldshafen, Germany;

    Karlsruhe Inst Technol, Inst Appl Mat, D-76344 Eggenstein Leopoldshafen, Germany|Helmholtz Inst Ulm HIU Electrochem Energy Storage, Helmholtz Str 11, D-89081 Ulm, Germany;

    Helmholtz Inst Ulm HIU Electrochem Energy Storage, Helmholtz Str 11, D-89081 Ulm, Germany;

    Tongji Univ, Clean Energy Automot Engn Ctr, Sch Automot Engn, Shanghai 201804, Peoples R China;

    Tongji Univ, Clean Energy Automot Engn Ctr, Sch Automot Engn, Shanghai 201804, Peoples R China;

    Tongji Univ, Clean Energy Automot Engn Ctr, Sch Automot Engn, Shanghai 201804, Peoples R China;

    Tongji Univ, Clean Energy Automot Engn Ctr, Sch Automot Engn, Shanghai 201804, Peoples R China;

    Karlsruhe Inst Technol, Inst Appl Mat, D-76344 Eggenstein Leopoldshafen, Germany|Helmholtz Inst Ulm HIU Electrochem Energy Storage, Helmholtz Str 11, D-89081 Ulm, Germany;

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

    Lithium-ion battery; Electro-thermal model; Low temperature; Current dependency; Electric vehicles;

    机译:锂离子电池电热模型低温电流依赖性电动汽车;

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