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首页> 外文期刊>Journal of Energy Resources Technology >Estimation of Remaining Useful Lifetime of Lithium-Ion Battery Based on Acoustic Emission Measurements
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Estimation of Remaining Useful Lifetime of Lithium-Ion Battery Based on Acoustic Emission Measurements

机译：基于声发射测量的锂离子电池剩余可用寿命估算

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摘要

Lithium-ion battery (LIB) utilization as energy storage device in electric and hybrid-electric vehicles, wind turbine systems, a number of portable electrical devices, and in many other application fields is encouraged due to LIB small size alongside high energy density. Monitoring of LIB health state parameters, calculation of additional LIB operating parameters, and the fulfillment of safety requirements are provided through battery management systems. Prediction of remaining useful lifetime (RUL) of LIB and state-of-health (SoH) estimation are identified as still challenging and not completely solved tasks. In this contribution, previous works on RUL/SoH estimation, mainly relied on modeling of underlying electrochemical processes inside LIB, are compared with newly developed approach. The proposed approach utilizes acoustic emission measurements for LIB aging indicators estimation. Developed model for RUL estimation is closely related to frequency spectrum analysis of captured acoustic emission (AE) signal. Features selected from AE measurements are considered as model inputs. The novelty of this approach is the opportunity to estimate RUL/SoH of LIB without necessity to capture some intermediate variables, only indirectly related to RUL/SoH (charging/discharging currents, temperature, and similar). The proposed approach provides the possibility to obtain reliable information about current RUL/SoH without the knowledge about underlying physical processes occurred in LIB. Experimental data sets gathered from LIB aging tests are used for model establishment, training, and validation. The experimental results demonstrate the applicability of the novel approach.
机译：锂离子电池（LIB）在电动和混合动力汽车，风力涡轮机系统，许多便携式电子设备以及许多其他应用领域中用作储能设备，这是因为LIB体积小且能量密度高。通过电池管理系统，可以监视LIB健康状态参数，计算其他LIB操作参数以及满足安全要求。 LIB的剩余使用寿命（RUL）和健康状态（SoH）估计的预测被认为仍然具有挑战性，并且尚未完全解决。在此贡献中，将以前主要基于LIB内部潜在电化学过程建模的RUL / SoH估计工作与新开发的方法进行了比较。所提出的方法利用声发射测量来估计LIB老化指标。已开发的RUL估计模型与捕获的声发射（AE）信号的频谱分析密切相关。从AE测量中选择的特征被视为模型输入。这种方法的新颖之处在于可以估算LIB的RUL / SoH，而无需捕获一些中间变量，而这些中间变量仅与RUL / SoH（充电/放电电流，温度等）间接相关。所提出的方法提供了获得有关当前RUL / SoH的可靠信息的可能性，而无需了解LIB中发生的基础物理过程。从LIB老化测试收集的实验数据集用于模型建立，训练和验证。实验结果证明了该新方法的适用性。

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  • 来源
    《Journal of Energy Resources Technology》 |2019年第4期|041901.1-041901.10|共10页
  • 作者

    Beganovic Nejra; Soeffker Dirk;

  • 作者单位

    Univ Duisburg Essen, Chair Dynam & Control, Lotharstr 1-21, D-47057 Duisburg, Germany;

    Univ Duisburg Essen, Chair Dynam & Control, Lotharstr 1-21, D-47057 Duisburg, 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
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