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Impedance Noise Identification for State-of-Health Prognostics

机译:健康状况预测的阻抗噪声识别

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Impedance Noise Identification is an in-situ method of measuring battery impedance as a function of frequency using a random small signal noise excitation source. Through a series of auto- and cross-correlations and Fast Fourier Transforms, the battery complex impedance as a function of frequency can be determined. The results are similar to those measured under a lab-scale electrochemical impedance spectroscopy measurement. The lab-scale measurements have been shown to correlate well with resistance and power data that are typically used to ascertain the remaining life of a battery. To this end, the Impedance Noise Identification system is designed to acquire the same type of data as an on-board tool. A prototype system is now under development, and results are being compared to standardized electrochemical impedance spectroscopy measurements. A brief description of the Impedance Noise Identification hardware system and representative test results are presented.
机译:阻抗噪声识别是使用随机小信号噪声激励源作为频率函数测量电池阻抗的原位方法。通过一系列自动和互相关和快速傅里叶变换,可以确定作为频率函数的电池复合阻抗。结果类似于在实验室级电化学阻抗光谱测量下测量的结果。已经显示了实验室测量测量与通常用于确定电池剩余寿命的电阻和功率数据相互作用。为此,阻抗噪声识别系统被设计为获取与车载工具相同类型的数据。现在正在开发出原型系统,并将结果与​​标准化的电化学阻抗光谱测量进行了比较。介绍了阻抗噪声识别硬件系统和代表性测试结果的简要描述。

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