基于模糊逻辑的变电站蓄电池在线健康状态评估

为了保证变电站直流电源设备运行的安全可靠性,提高铅酸蓄电池健康状态(State of Health,SOH)的评估能力至关重要。提出了一种基于模糊逻辑预测SOH的在线检测法,利用蓄电池在充放电状态下电荷量与开路电压之间的线性关系分别在线、离线检测蓄电池的SOH。实验结果表明,传统的离线法与在线法评估的结果一致,误差均接近2%左右。与SOC在线检测方法相比,SOH对蓄电池健康评估具有灵敏度高、收敛快等特点。

On-Line Health Assessment of Substation Battery Based on Fuzzy Logic

In order to ensure the safety and reliability of dc power supply equipment operation,it is very important to improve the ability of evaluating the state of health(SOH)of lead-acid battery.An online detection method for SOH prediction based on fuzzy logic is proposed,the linear relationship between the amount of charge and the open circuit voltage of the battery in charge and discharge state is used to detect the SOH of the battery online and offline respectively. The experimental results show that the traditional offline method is consistent with the online method,and the errors are close to 2%. Compared with SOC online detection method,SOH has the characteristics of higher sensitivity and faster convergence for battery health assessment.