现行蓄电池健康状态的问题及智能蓄电池的应用  

Problems of Health Status of Current Storage Batteryand Application of Intelligent Storage Battery

作　　者：张永明[1] 程鹏 陈炯 冯耀宇 张宇 Zhang Yongming;Song Qing;Chen Jiong;Feng Yaoyu;Zhang Yu(Kuming Power Supply Bureau,Kunming,Yunnan 650100)

机构地区：[1]昆明供电局,云南昆明650100

出　　处：《物理通报》2020年第9期104-106,111,共4页Physics Bulletin

摘　　要：对现有的蓄电池健康状态分析与评估技术现状从物理角度与应用效果进行了调研与整理分析,认为现有的蓄电池监测产品在对蓄电池的监测关键参数缺乏有效的管理.通过对造成蓄电池失效的各类物理参数原因逐个分析,总结认为蓄电池评估最关键的参数在于蓄电池内阻的高精度、低影响度测量,分析适用于应用的内阻测量技术,同时提出智能蓄电池在结构上对内阻监测精度有着非常大的优势,展开基于智能蓄电池的电池健康度评估研究,结果表明智能蓄电池内阻测量精度很高,内阻参数与蓄电池健康评估具有较强的相关性,适于展开大范围应用.we have investigated and analyzed the status quo of battery health analysis and evaluation technology from the physical point of view and application effect.it is considered that the existing battery monitoring products lack of effective management on the key parameters of battery monitoring.by analyzing the causes of various physical parameters that lead to battery failure one by one,we conclude that the key parameter of battery evaluation lies in the measurement of internal resistance with high accuracy and low influence.we analyze the internal resistance measurement technology which is suitable for application,and propose that the intelligent battery has a great advantage in the structure of internal resistance monitoring accuracy.then we carry out battery health assessment research based on intelligent battery.and the results show that the measurement accuracy of the internal resistance of the intelligent battery is very high,and the internal resistance data has a strong correlation with the battery health assessment,which is suitable for a wide range of applications.

关 键 词：智能蓄电池的物理模型 SOH 蓄电池内阻测量 蓄电池在线监测 

分 类 号：TM912[电气工程—电力电子与电力传动]