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智能管理蓄电池放电特征

Discharging feature analysis of battery under intelligent management

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【作者】 马士振冯刚龚飞林向东张红旗

【Author】 Ma Shizhen;Feng Gang;Gong Fei;Lin Xiangdong;Zhang Hongqi;Earthquake Administration of Beijing Municipality;Earthquake Administration of Heilongjiang Province;

【机构】 北京市地震局黑龙江省地震局

【摘要】 对北京市凤河营等地震台智能电源管理下的蓄电池放电数据进行处理和分析,发现蓄电池电压"平缓—快速—平缓"的下降过程可以表征蓄电池老化程度的现象,获得蓄电池小电流放电条件下每次放电过程的估算容量数据,实证蓄电池放电容量与温度之间存在正相关关系,且发现同批次蓄电池可能存在较大程度的容量差异。及时的数据处理分析,对于准确把握蓄电池工作状态、保障台站供电安全、合理安排蓄电池更新事务,可以起到积极的作用。

【Abstract】 In this paper, the discharging data of battery that under intelligent management of Beijing Fengheying and other seismic stations was processed and analyzed. We found the battery voltage has a slow- fast- slow falling process and it can characterize the degree of battery aging. Under the conditions of low current, we estimated the battery capacity of each discharging process. Comparing discharge capacity with the temperature, we found they are positive related, and there is a great degree of capacity difference among the same batch of batteries. Timely processing and analyzing the data will do help to know the accurate working status of the battery, gurantee the security of electricity supply, and arrange for the battery update.

【关键词】 智能管理蓄电池放电特征
【Key words】 intelligent power managementbatterydischarge feature
【基金】 北京市地震局资助
  • 【文献出处】 地震地磁观测与研究 ,Seismological and Geomagnetic Observation and Research , 编辑部邮箱 ,2015年02期
  • 【分类号】P315.78
  • 【下载频次】22
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