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A Novel On-line State-of-Charge Estimation Algorithm for Valve Regulated Lead-Acid Batteries used in Hybrid Electric Vehicles

机译:混合动力电动车辆阀调节铅酸电池的一种新型在线电荷估计算法

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A four state reconfigurable battery state of charge estimation algorithm combining the open circuit voltage (OCV) and its estimation and current integration is proposed in the present paper. In general, the open circuit voltage requires a few hours to become completely stabilized, when 100% confidence indicator is obtained. The proposed algorithm in its first state, works when the battery current is zero and 5 minutes within the OCV estimation process. For the second state, during constant current charging the battery state-of-charge (SOC) estimation is based on the previously measured look-up table that stores the battery voltage versus battery state-of-charge. In the third state the battery SOC is estimated by battery charging voltage vs. charging current characteristic stored in a look-up table. Finally, for the fourth state, during variable discharging current and regenerative breaking the battery SOC is estimated by current integration method. The four states of the estimation algorithm are self-identifiable and from here the reconfigurability property. The proposed algorithm is amply documented by experiments on a 48Vdc, 55Ah battery pack typical for mild hybrid electric vehicles.
机译:本文提出了一种组合开路电压(OCV)的四种状态可重新配置电池估计算法及其估计和电流集成。通常,当获得100%置信指示器时,开路电压需要几小时变得完全稳定。所提出的算法在其第一个状态下,当电池电流为零和OCV估计过程中的5分钟时,工作。对于第二状态,在恒定电流期间,电池充电状态(SOC)估计基于先前测量的查找表,其存储电池电压与电池充电的最终充电。在第三状态中,电池SOC由存储在查找表中的电池充电电压与充电电流特性估计。最后,对于第四状态,通过电流积分方法估计在可变放电电流和再生断开电池SOC期间。估计算法的四种状态是自我识别的,从这里开始重新配置性属性。该算法通过48VDC,55Ah电池组的实验进行了充分的记录,用于温和的混合动力电动车辆。

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