An accurate estimation method for state of charge of mine-used energy storage battery
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摘要: 针对基于安时积分法的矿用储能电池荷电状态估计易产生累计误差的问题，提出一种基于改进安时积分法的矿用储能电池荷电状态精确估计方法。该方法引入温度校正系数、老化程度校正系数和充放电倍率校正系数，通过校正电池容量实现电池荷电状态精确估计；在电池荷电状态为0~15%，90%~100%时，用电池端电压代替开路电压，对改进安时积分法所得结果进行实时校正。实验结果表明，该方法可提高矿用储能电池荷电状态估计精度，估计误差基本控制在±3%以内。Abstract: For the problem that accumulative error was easy to occur in estimation for state of charge (SOC) of mine-used energy storage battery based on ampere-hour integration method, an accurate estimation method for SOC of mine-used energy storage battery based on improved ampere-hour integration method was put forward. In the method, temperature correction coefficient, aging degree correction coefficient and charging-discharging ratio correction coefficient are introduced to correct battery capacity, so as to realize accurate estimation of battery SOC. Battery terminal voltage is used to replace open circuit voltage when battery SOC is from 0 to 15% or from 90% to 100%, then the estimation results obtained by the improved ampere-hour integration method are corrected real-timely. The experimental results show that the method can improve estimation precision of SOC of mine-used energy storage battery, and the estimation error is within ±3%.
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期刊类型引用(2)
1. 梁毅勇. 矿井主通风机轴承故障机理分析及诊断方法研究. 能源与环保. 2021(02): 105-108+113 . 
百度学术
2. 崔红芳，程凤林. 基于改进模糊推理理论的矿井主通风机故障诊断. 煤炭技术. 2021(10): 112-115 . 百度学术
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