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A novel comprehensive evaluation method for state-of-health of lead-acid batteries

机译:铅酸电池健康状态的综合评价新方法

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Valve-regulated batteries (VRLA) have been widely applied as backup power supply to ensure the uninterrupted operation of systems in various fields, such as power system, communication system, railway system, banking business and national military defense. Because the application environment of VRLA is complicated, many factors will influence their service lives, for example, charging and discharging current rate, depth of discharge, temperature, etc. The existing estimation methods usually regard the total battery capacity as a fixed value, which results in the estimation error accumulated with the change of charging and discharging current rate. In charge and discharge conditions, the battery capacity is calculated accurately by means of an improved Amper-Hour (AH) method, which has been put forward by us. The influence of discharge rate, charging efficiency, and temperature on the remaining capacity of the lead-acid battery is considered. Therefore, the state-of-charge (SOC) of battery can be quantitatively evaluated and estimated. A real-time dynamic modeling method is proposed to calculate the relationship between the remaining capacity of battery and the internal resistance of battery. The SOC of battery is determined quantitatively by means of measuring the internal resistance of battery accurately. The evaluation system will update the relationship between the internal resistance of the lead-acid battery and the remaining capacity during routine processes of charging and discharging, thereby further improving the system's accuracy in estimating the remaining capacity of VRLA. An experimental comprehensive evaluation system was built to perform real-time detection and estimation of the SOC of lead-acid batteries.
机译:阀控式电池(VRLA)已广泛用作备用电源,以确保电力系统,通信系统,铁路系统,银行业务和国防等各个领域的系统不间断运行。由于VRLA的应用环境复杂,充放电电流率,放电深度,温度等诸多因素都会影响其使用寿命。现有的估算方法通常以电池总容量为固定值,因此导致估计误差随着充电和放电电流率的变化而累积。在充电和放电条件下,通过我们提出的改进的安培小时(AH)方法可以准确地计算电池容量。考虑了放电速率,充电效率和温度对铅酸电池剩余容量的影响。因此,可以定量地评估和估计电池的充电状态(SOC)。提出了一种实时动态建模方法来计算电池剩余容量与电池内阻之间的关系。通过准确测量电池的内阻来定量确定电池的SOC。评估系统将更新常规充电和放电过程中铅酸电池的内阻与剩余容量之间的关系,从而进一步提高系统估算VRLA剩余容量的准确性。建立了一个实验综合评估系统,可以对铅酸电池的SOC进行实时检测和估计。

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