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作 者:刘永强[1] LIU Yongqiang(Gansu Meteorological Information and Technic Support Equipment Center,Lanzhou 730020,China)
机构地区:[1]甘肃省气象信息与技术装备保障中心,甘肃兰州730020
出 处:《通信电源技术》2021年第15期120-122,共3页Telecom Power Technology
摘 要:为了实现对电源放电状态的有效检测,提出UPS电源输出电压及电池放电状态的监测分析研究。利用DS2438智能电池监视芯片实现对输出电压的监测,通过分析电源输出电压与电池放电状态之间的关系,利用BP神经网络对电池的SOC进行计算,将监测到的数据进行归一化处理后作为网络的输入值,在输出阈值为(0,1)的条件下,运用Sigmoid函数计算SOC的值。实验测试结果表明,所提方法可以实现对输出电压的准确监测,对电池放电SOC的监测误差不超过0.1%。In order to realize the effective detection of power supply discharge state,the monitoring and analysis of UPS power supply output voltage and battery discharge state are proposed.The DS2438 intelligent battery monitoring chip is used to monitor the output voltage.By analyzing the relationship between the power output voltage and the battery discharge state,the SOC of the battery is calculated by BP neural network.After normalizing the monitored data,it is used as the input value of the network.Under the condition that the output threshold is(0,1),the SOC value is calculated by sigmoid function.The experimental results show that the proposed method can accurately monitor the output voltage,and the monitoring error of battery discharge SOC is less than 0.1%.
分 类 号:TM9[电气工程—电力电子与电力传动]
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