基于健康状态的蓄电池检修策略优化  

Optimization of Maintenance Strategy of Battery Based on Health State

作　　者：李涛[1] 王圆妹[1] 李世豪 惠英文 LI Tao;WANG Yuan-mei;LI Shi-hao;HUI Ying-wen(School of Electronic Information and Electrical Engineering,Changjiang University,Jingzhou 434000,China)

机构地区：[1]长江大学电子信息与电气工程学院,荆州434000

出　　处：《价值工程》2024年第12期12-14,共3页Value Engineering

摘　　要：文中提出了一种基于健康状态的蓄电池检修策略优化方案。首先,构建基于威布尔分布的蓄电池可靠性模型。其中蓄电池的必然故障考虑了蓄电池在不同SOH下的供电能力,且通过蓄电池异常外部现象确定了偶然故障评价标准。最后采用改进的粒子群寻优算法求解蓄电池更换方案。为蓄电池的更换及检修维护提供了更多参考,进一步提高变电站电源系统可靠性、降低成本。The article proposes an optimization scheme for battery maintenance strategy based on health status.Firstly,a battery reliability model based on Weibull distribution is constructed.The inevitable failure of the battery takes into account the power supply capacity of the battery under different SOHs,and the evaluation criteria for accidental failures are determined through abnormal external phenomena of the battery.Finally,an improved particle swarm optimization algorithm is used to solve the battery replacement plan.This provides more references for the replacement and maintenance of batteries,further improving the reliability of substation power systems and reducing costs.

关 键 词：蓄电池 蓄电池可靠性模型 粒子群算法 

分 类 号：TM912[电气工程—电力电子与电力传动]