锂电池荷电状态在线估计优化方法

Optimization Method for Online Estimation of Lithium Battery SOC

由于有色工矿企业使用储能电池运行环境的特殊性,采用安时积分法估计电池SOC时容易出现累计误差,电池循环次数、放电电流和环境温度都会影响电池容量,电池SOC估计精度受电池初始SOC、温度、老化程度、充放电倍率的影响,所以在安时积分法估计过程中引入温度校正、老化程度校正、充放电倍率校正、极值校正等修正因子。采用多种修正因子和实验曲线拟合取值,提高对工矿用电池储能系统的SOC估算精准度和效率。

Due to the particularity of the operating environment of non-ferrous mining energy storage batteries,cumulative errors are likely to occur when using the ampere-hour integration method to estimate the battery SOC.The number of battery cycles,discharge current and ambient temperature will all affect the battery capacity.The accuracy of battery SOC estimation is affected by the initial battery SOC and temperature,aging degree,charge and discharge rate,so in the estimation process of ampere-hour integration method,temperature correction,aging degree correction,charge and discharge rate correction,extreme value correction and other correction factors are introduced.A variety of correction factors and experimental curve fitting values are used to improve the accuracy and efficiency of SOC estimation for industrial and mining battery energy storage systems.