摘要
针对国内充电桩在使用过程中存在虚警率过高、故障不能复现以及故障诊断时间过长的问题,文章提出一种车联网环境下充电桩健康状态综合评估与预测方法。首先,从安全性能和电气性能2个角度出发,构建递阶层次充电桩健康状态综合评估体系;然后,采用熵权法初始化各评估指标的权重,引入健康因子动态衡量各评估指标的综合权重,以期实现充电桩健康状态的动态评估;最后,采用马尔可夫模型预测充电桩健康短期的健康状态及剩余寿命。以深圳市某充电站系统为例,以充电桩状态评估与短期预测示例,验证了该方法的有效性。
Aiming at the problems of high false alarm rate,non recurrence of faults and long fault diagnosis time in the use of domestic charging piles,this paper proposes a comprehensive evaluation and prediction method of charging pile health status in the environment of Internet of vehicles.Firstly,from the perspective of safety performance and electrical performance,a hierarchical comprehensive evaluation system for the health status of charging piles is constructed.Then,the entropy weight method is used to initialize the weight of each evaluation index,and the health factor is introduced to dynamically measure the comprehensive weight of each evaluation index,so as to realize the dynamic evaluation of the health status of charging pile.Finally,Markov model is used to predict the short-term health status and remaining life of charging pile.In this paper,a charging station system in Shenzhen is taken as an example to verify the effectiveness of this method.
作者
黄焘
彭科
程旭
李陶然
李强
HUANG Tao;PENG Ke;CHENG Xu;LI Taoran;LI Qiang(China Souththern Power Grid Electric Vehicle Service Co.,Ltd.,Shenzhen 518000,China)
出处
《电力信息与通信技术》
2022年第7期109-116,共8页
Electric Power Information and Communication Technology
关键词
车联网
安全性能
电气性能
健康状态评估
马尔可夫模型
Internet of vehicles
safety performance
electrical performance
health status assessment
Markov model
