现代电子技术2018，Vol.41Issue(10)：113-116,4.DOI:10.16652/j.issn.1004⁃373x.2018.10.029
基于PID⁃BPNN的矿用铅酸蓄电池SOC在线估计
Mine lead-acid battery SOC online estimation based on PID-BPNN
摘要
Abstract
Since accurate SOC estimation is needed when detecting whether the lead-acid battery has reached the full charge during its internal formation and when considering the battery balance problem during the assembling of the lead-acid bat-tery in the safe power supply system of the mine refuge chamber,SOC online estimation of lead-acid battery is achieved based on PID control of BPNN by means of feedback error modification. The experimental method is adopted to obtain data,and the factors related to battery SOC are selected as the input parameters of BP neural network to perform accurate online prediction of the battery′s SOC values. The simulation results show that the lead-acid battery SOC estimation based on PID control of BPNN has improved a lot in its precision,and meanwhile provides a new estimation method for the battery management system.关键词
安全供电系统/铅酸蓄电池/矿用/内化成/PID-BP神经网络/SOC在线估计Key words
safe power supply system/lead-acid battery/mine/internal formation/PID-BPNN/SOC online estimation分类
信息技术与安全科学引用本文复制引用
姜长泓,徐宏..基于PID⁃BPNN的矿用铅酸蓄电池SOC在线估计[J].现代电子技术,2018,41(10):113-116,4.基金项目
吉林省科学技术厅计划项目(20140204029SF)Project Supported by Plan of Jilin Provincial Science and Technology Department(20140204029SF) （20140204029SF）
