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Techniques for monitoring and predicting the OCV for VRLA battery systems

机译:用于监控和预测VRLA电池系统OCV的技术

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This paper provides a simple and advanced technique to monitor and predict the state of health (SOH) and the open circuit voltage (OCV) for valve regulated lead acid (VRLA) battery cells. The underlying principal of the technique described in this paper employs a mathematical model that can simulate different pore geometries shape and a simple equation to predict the equilibrated cell voltage after a small rest period. The technique was tested and analyzed using results obtained from experiments conducted at the Yuasa Battery laboratories. Lead-acid battery system analysis was carried out with reference to the standard battery system models available in the literature. The results indicate that by using this technique, appreciable benefits can be accrued and it is possible to maintain high standard products in safe operating conditions.
机译:本文提供了一种简单而先进的技术来监控和预测阀调节铅酸(VRLA)电池单元的健康状态(SOH)和开路电压(OCV)。本文描述的技术的基本原理采用了一种数学模型,可以模拟不同的孔格几何形状和简单方程,以在休息时段之后预测平衡的电池电压。通过在Yuasa电池实验室在Yuasa电池实验室进行的实验获得的结果进行测试和分析该技术。通过参考文献中可用的标准电池系统型号进行铅酸电池系统分析。结果表明,通过使用这种技术,可以累积可观的益处,可以在安全的操作条件下保持高标准产品。

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