一种适合于电池储能系统中锂离子健康诊断的低成本、快速阻抗测量技术

D. Stone, M. Foster, E. Ballantyne, H. Price
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引用次数: 0

摘要

电池储能正在成为绿色能源系统的重要组成部分。由于储能系统的健康状态预测依赖于许多参数,因此存在一定的困难。储能电池的伪随机二值序列(PRBS)激励已被证明是铅酸电池参数辨识的一种有效方法。这项工作的目的是验证来自电动汽车电池组电池组成部分的3Ah LiFePO4电池的PRBS测试数据与从工业标准电位器(Solartron 1480)获得的电化学阻抗光谱(EIS)数据。PRBS的结果在200秒内就可以在易于复制的设备上获得,这些设备可以内置到绿色能源电池管理系统中,而EIS的过程在昂贵的实验室设备上需要两个多小时。这项工作验证了PRBS是一种快速、便携的获得锂离子电池阻抗谱的方法,该方法可用于获得BESS的SoH信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Low Cost, Rapid Impedance Measurement Technique Suitable for Li-ion Health Diagnosis in Battery Energy Storage Systems
Battery energy storage is becoming a vital part of green energy systems. Prediction of the state of health of energy storage systems is difficult as it relies on a number of parameters. Pseudo Random Binary Sequence (PRBS) excitation of energy storage batteries has been shown to be a valid method of battery parameter identification for lead acid batteries [1]. The purpose of this work is to validate PRBS test data from a 3Ah LiFePO4 cell forming part of an EV battery-pack cell against Electrochemical Impedance Spectroscopy (EIS) data obtained from an industry-standard potentiostat (Solartron 1480). PRBS results are obtained in under 200 seconds on easily reproducible equipment which can be built into a green energy battery management system, while the EIS process takes over two hours on prohibitively expensive laboratory equipment. This work validates PRBS as a fast and portable method of obtaining the impedance spectrum of Lithium Ion cells, which can then be used to obtain information about SoH of the BESS.
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