摘要
为保障以电池组作为能源的可移动医疗设备可靠运行,设计了一种可移动医疗设备电池监控系统,对医院内所有急救类、生命支持类可移动医疗设备电池的放电状态与剩余电量进行实时监控。通过分析系统原理,对检测电路,通信电路以及监控分析软件进行了设计,基于WiFi通信技术实现了多设备电池运行数据的采集和传输。基于电池的电压、电流和温度信息,设计了径向基函数(RBF)神经网络对可移动医疗设备锂电池的荷电状态(SOC)进行实时估计,为可移动医疗设备电池的可靠运行提供保障。
In order to ensure the reliable operation of mobile medical equipment with battery pack as the energy source,a mobile battery monitoring system for mobile medical equipment was designed in this paper to monitor the discharge status and remaining power of the mobile emergency medical equipment and life support mobile medical equipment in real time.By analyzing the principle of the system,the detection circuit,communication circuit,and monitoring and analysis software were designed.Based on the WiFi communication technology,the collection and transmission of multi-device battery operation data was realized.Based on the voltage,current,and temperature information of the battery,a radial basis function(RBF)neural network was designed to estimate the state of charge(SOC)of the lithium battery in real time,providing a guarantee for the reliable operation of the battery for the mobile medical device.
作者
李斌飞
崔世钢
祖林禄
LI Bin-fei;CUI Shi-gang;ZU Lin-lu(School of Automation and Electrical Engineering,Tianjin University of Technology and Education,Tianjin 300222,China;School of Mechanical and Electrical Engineering,Shandong Agriculural University,Tai an Shandong 271018,China)
出处
《电源技术》
CAS
北大核心
2020年第9期1356-1359,共4页
Chinese Journal of Power Sources
关键词
医疗设备电池
SOC
神经网络
电池监控系统
medical equipment battery
SOC
neural network
battery monitoring system
