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Battery State Estimation using AC analysis

机译:使用AC分析电池状态估计

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摘要

Batteries are becoming an integral part of daily life because of increased portable appliances, DC UPS systems and green power generation. Importance of on-line battery monitoring of available energy, state of charge (SOC) and state of health (SOH) is becoming essential for efficient use of the battery systems and energy management. All known off and on-line battery monitoring methods use load tests for determining battery condition and/or battery model parameters which indicate SOCand SOH. This paper discusses the on-line impedance based method to determine the SOC and SOH. The sine, square and pulse waveforms are analyzed to determine the deterioration of battery model elements. It is concluded that pulse waveform effectively determines variation of battery model elements and also charges the battery rather than using the energy of the battery to determine the state.
机译:由于便携式设备增加,DC UPS系统和绿色发电,电池正在成为日常生活的组成部分。在线电池监测可用能源的重要性,充电状态(SOC)和健康状况(SOH)正成为有效利用电池系统和能源管理。所有已知的脱机和在线电池监控方法使用负载测试来确定指示Socand Soh的电池状况和/或电池模型参数。本文讨论了基于在线阻抗确定SOC和SOH的方法。分析正弦,方形和脉冲波形以确定电池模型元件的劣化。得出结论,脉冲波形有效地确定电池模型元件的变化,并且还对电池充电而不是使用电池的能量来确定状态。

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