无线传感网络节点锂电池剩余电量估算方法  

Estimation method of state of charge of lithium battery for nodes of wireless sensor network

作　　者：杨磊[1] 杨怿[1] 杨东勇[1] 顾东袁[1] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310023

出　　处：《工矿自动化》2015年第1期29-32,共4页Journal Of Mine Automation

基　　金：浙江省大学生科技创新活动计划(新苗人才计划)项目(2012R403002);浙江省公益技术应用研究项目(2012C21062)

摘　　要：针对采用锂电池电量检测芯片DS2786进行剩余电量估算存在误差较大的问题,结合DS2786芯片和卡尔曼滤算法,提出了一种面向无线传感网络节点锂电池的剩余电量估算方法。该方法通过建立能表征锂电池特性的等效电路模型,将芯片DS2786所获得的锂电池两端开路电压和放电电流作为卡尔曼滤波算法的输入参数,进行精确的剩余电量估算。实验结果表明,该方法对于锂电池剩余电量的估计误差可维持在3%以内,且算法复杂度低,能满足嵌入式设备的应用要求。In view of problem of big estimation error of estimation method of state of charge using lithium battery detection chip DS2786, an estimation method of lithium battery for nodes in wireless sensor network was proposed combined with DS2786 chip and Kalman filter algorithm. In the method, equivalent circuit model which can characterize lithium battery was built, and the open circuit voltage and discharge current of lithium battery obtained by the chip DS2786 were taken as input parameters of Kalman filter algorithm to accurately estimate the state of charge. Experimental results show that the method has estimation error of state of charge of lithium battery less than 3 %, low computational complexity, and can meet the application requirements of embedded devices.

关 键 词：无线传感网络 锂电池 剩余电量 电量估算 卡尔曼滤波 

分 类 号：TD655.3[矿业工程—矿山机电]