摘要
面向通信基站备用电源管理设计并实现了一种蓄电池组容量在线监测系统。系统采用基于Modbus总线的主从结构,使用消息派遣机制对任务间消息传递进行统一管理,可实现蓄电池单体电压、组压、放电电流和温度数据的实时采集、存储和处理。针对基站蓄电池组的串联结构,设计了一种基于BP神经网络的安时电池容量估计方法。实验数据表明:该系统具有估计精度高,测试效率高的特点,可满足实际应用需要。
A battery group online monitoring system for back-up power of communication base station is designed and realized. Based on host-slave architecture of Modbus, the system message dispatch mechanism is used to manage the message transmission of the tasks and datas of single voltage, group voltage, current and temperature can be real-time collected, stored and processed. An Ampere hour battery method for capacity estimation based on BP neural network is designed for the series connection of base station battery group. Experimental datas show that the system has advantage of high estimation precision and of high efficiency and can fulfill practical application.
出处
《传感器与微系统》
CSCD
北大核心
2013年第5期74-77,共4页
Transducer and Microsystem Technologies
基金
浙江大学科技合作项目(H20103338)
