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基于物联网的蓄电池SOC在线检测系统
引用本文:王飞林,崔双喜,刘星,文达. 基于物联网的蓄电池SOC在线检测系统[J]. 电测与仪表, 2019, 56(20): 31-35
作者姓名:王飞林  崔双喜  刘星  文达
作者单位:新疆大学电气工程学院,乌鲁木齐,830047;新疆大学电气工程学院,乌鲁木齐,830047;新疆大学电气工程学院,乌鲁木齐,830047;新疆大学电气工程学院,乌鲁木齐,830047
基金项目:新疆自然科学(BS160246)
摘    要:在针对当今弃风弃光严重和新能源出力波动性的问题,常采用蓄电池进行平抑,蓄电池荷电状态(SOC)估算对储能系统的安全运行具有重要意义。本文研究蓄电池的SOC运行监控系统。首先,设计蓄电池监控物理架构,并提出基于物联网的信息传递机制。在此基础上,提出基于神经网络的蓄电池SOC的检测方法。最后利用C#与MATLAB混合编程,实现对该检测方法验证。。

关 键 词:混合编程  神经网络控制  物联网  蓄电池SOC
收稿时间:2018-07-31
修稿时间:2018-09-09

The battery SOC online detection system based on Internet of things
Wang Feilin,Cui Shuangxi,Liu Xing and WenDa. The battery SOC online detection system based on Internet of things[J]. Electrical Measurement & Instrumentation, 2019, 56(20): 31-35
Authors:Wang Feilin  Cui Shuangxi  Liu Xing  WenDa
Affiliation:School of Electrical Engineering,Xinjiang University,School of Electrical Engineering,Xinjiang University,School of Electrical Engineering,Xinjiang University,School of Electrical Engineering,Xinjiang University
Abstract:On today"s abandon the abandoned light of serious adverse to the grid and new energy output volatility problem, often using storage battery to tame, battery charged state of (SOC) estimation for energy storage is of great significance to the safe operation of the system. In this paper, we study the battery SOC operation monitoring system. First of all, the battery monitor physical architecture design, and put forward based on the information transfer mechanism of the Internet of things. On this basis, put forward based on neural network and testing method of battery SOC. Finally using c # and MATLAB mixed programming, validation of the test method.
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