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A new state of charge determination method for battery management system

机译:一种新的电池管理系统电量确定方法

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摘要

State of Charge (SOC) determination is an increasingly important issue in battery technology. In addition to the immediate display of the remaining battery capacity to the user, precise knowledge of SOC exerts additional control over the charging/discharging process which in turn reduces the risk of over-voltage and gassing, which degrade the chemical composition of the electrolyte and plates. This paper describes a new approach to SOC determination for the lead-acid battery management system by combining Ah-balance with an EMF estimation algorithm, which predicts the battery' s EMF value while it is under load. The EMF estimation algorithm is based on an equivalent-circuit representation of the battery, with the parameters determined from a pulse test performed on the battery and a curve-fitting algorithm by means of least-square regression. The whole battery cycle is classified into seven states where the SOC is estimated with the Ah-balance method and the proposed EMF based algorithm. Laboratory tests and results are described in detail in the paper.
机译:充电状态(SOC)的确定是电池技术中越来越重要的问题。除了可以向用户立即显示剩余电池电量外,SOC的精确知识还可以对充电/放电过程进行额外控制,从而降低了过电压和放气的风险,从而降低了电解液的化学成分,盘子。本文介绍了一种通过将Ah平衡与EMF估计算法相结合来确定铅酸电池管理系统SOC的新方法,该算法可预测电池在负载下的EMF值。 EMF估计算法基于电池的等效电路表示,其中参数由对电池执行的脉冲测试确定,并通过最小二乘回归进行曲线拟合。整个电池循环分为七个状态,其中,通过Ah平衡方法和提出的基于EMF的算法估算SOC。本文详细描述了实验室测试和结果。

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