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State-of-charge and state-of-health estimation for lithium-ion battery using the direct wave signals of guided wave

机译:使用引导波的直接波信号的锂离子电池的充电状态和健康状态估算

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摘要

With the development of new energy technology, lithium-ion battery, as a common energy storage and driving structure, has been widely used in many fields. It is significant to accurately monitor and evaluate the state of charge (SOC) and state of health (SOH) of lithium-ion battery. This paper presents the estimation method of SOC and SOH of lithium-ion battery based on ultrasonic guided wave technology. In the experiment, the guided wave signals are activated by a single fixed piezoelectric transducer and the propagating guided waves are rapidly captured using a scanning laser Doppler vibrometer system. The multi-parameter analysis of the direct wave signals including time-domain, frequency-domain and time-frequency distribution are performed, and thus three guided-wave parameters, namely signal amplitude, time of flight and power spectral density connected with the charge discharge cycle and aging of battery, are successively set to comprehensively evaluate SOC/SOH of lithium-ion battery. The results show that the guided wave parameters in time-domain, frequency-domain and time-frequency distribution have well consistent correspondence with SOC/SOH, and the differential curve analysis of signal amplitude can effectively reflect the phase transitions in the charge-discharge cycle and the aging process. In addition, the sensitivity of ultrasonic guided wave technology to estimation of SOC/SOH gradually decreases with the battery aging.
机译:随着新能源技术的发展,锂离子电池作为普通储能和驾驶结构,已广泛应用于许多领域。重要的是准确监测和评估锂离子电池的充电状态(SOC)和健康状态(SOH)。本文介绍了基于超声波导波技术的锂离子电池SOC和SOH估计方法。在实验中,通过单个固定压电换能器激活引导波信号,并且使用扫描激光多普勒振动计系统快速捕获传播引导波。执行包括时域,频域和时频分布的直接波信号的多参数分析,因此三个导波参数,即信号幅度,飞行时间和与充电放电连接的功率谱密度电池的循环和老化,连续设置以全面评估锂离子电池的SoC / SoH。结果表明,时域,频域和时频分布中的导波参数与SOC / SOH很好地对应,信号幅度的差分曲线分析可以有效地反映充电 - 放电循环中的相位转换和老化过程。此外,超声波引导波技术对SOC / SOH估计的敏感性随着电池老化逐渐减小。

著录项

  • 来源
    《Journal of Energy Storage》 |2021年第7期|102657.1-102657.12|共12页
  • 作者单位

    Jiangsu Univ Fac Civil Engn & Mech Inst Struct Hlth Management Zhenjiang 212013 Jiangsu Peoples R China|Jiangsu Univ Natl Ctr Int Res Struct Hlth Management Crit Comp Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Fac Civil Engn & Mech Inst Struct Hlth Management Zhenjiang 212013 Jiangsu Peoples R China|Jiangsu Univ Natl Ctr Int Res Struct Hlth Management Crit Comp Zhenjiang 212013 Jiangsu Peoples R China;

    Guangzhou Tianma Grp Tianma Motorcycle Co Ltd Guangzhou 510925 Guangdong Peoples R China;

    Jiangsu Univ Fac Civil Engn & Mech Inst Struct Hlth Management Zhenjiang 212013 Jiangsu Peoples R China|Jiangsu Univ Natl Ctr Int Res Struct Hlth Management Crit Comp Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Fac Civil Engn & Mech Inst Struct Hlth Management Zhenjiang 212013 Jiangsu Peoples R China|Jiangsu Univ Natl Ctr Int Res Struct Hlth Management Crit Comp Zhenjiang 212013 Jiangsu Peoples R China;

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

    Lithium-ion battery; Ultrasonic guided waves; Non-contact detection; The direct wave signals; State of charge; State of health;

    机译:锂离子电池;超声波引导波;非接触检测;直接波信号;充电状态;健康状况;
  • 入库时间 2022-08-19 02:36:05

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