摘要
针对站用铅酸蓄电池核容充放电的数据分析问题,利用放电电压和容量之间的关系,提出了一种融合隐患系数和放电电压特征的健康评估方法。该方法通过计算隐患系数和对放电电压的预测,实现对蓄电池组健康评估,并在广州局某站用蓄电池组实测数据集上进行了验证,结果表明该方法能够有效发现不良电池。
Aiming at the data analysis of charge and discharge of lead-acid battery, a health evaluation method is proposed based on the relationship between discharge voltage and capacity.This method realizes the health management of battery pack by calculating the hidden danger coefficient and predicting the discharge voltage. This method is verified by some measured data sets,the results show that it can accurately find bad batteries.
作者
黎剑波
伍银波
Li Jianbo;Wu Yinbo(Extrahigh Voltage Transmission Company,China Southern Power Grid,Guangzhou 510663;Department of Automation,Guangdong Polytechnic Normal University,Guangzhou 510665)
出处
《现代计算机》
2021年第32期75-78,共4页
Modern Computer
基金
2021年超高压公司职工技术创新项目(广州局)(010100KK58210001)。
