姜长泓,徐宏

• 1:长春工业大学电气与电子工程学院

摘要(Abstract)：

针对矿山避难硐室安全供电系统中铅酸蓄电池内化成过程中检测是否已经达到满电荷量,且在组装铅酸蓄电池时需要考虑电池均衡问题都需要进行准确估算SOC的问题,提出基于BP神经网络的PID控制通过修正反馈误差来实现铅酸蓄电池SOC在线估计。采用实验的方法获取数据,选取与电池SOC相关的因子作为BP神经网络的输入参数,最终准确在线预测蓄电池SOC值。仿真结果表明,基于BP神经网络的PID控制的铅酸蓄电池SOC估计的精度大大提高,同时为电池管理系统提供一个新的估计方法。

关键词(KeyWords)： 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

Abstract:

Keywords:

基金项目(Foundation): 吉林省科学技术厅计划项目(20140204029SF)~~

作者(Author): 姜长泓,徐宏

DOI: 10.16652/j.issn.1004-373x.2018.10.029

参考文献(References)：

• [1]胡信国.动力电池技术与应用[M].2版.北京:机械工业出版社,2013:32-36.HU Xinguo.Power battery technology and its application[M].2nd ed.Beijing:China Machine Press,2013:32-36.
• [2]刘瑞浩,孙玉坤,陈坤华.电动汽车SOC利用BP神经网络模型预测方法研究[J].电测与仪表,2011,48(3):34-36.LIU Ruihao,SUN Yukun,CHEN Kunhua.BP neural network model estimation on state of charge for electric vehicle[J].Electrical measurement&instrumentation,2011,48(3):34-36.
• [3]王标.基于电池模型的汽车铅酸电池SOC在线估计方法研究[D].合肥:合肥工业大学,2015.WANG Biao.Research on SOC online estimation of vehicular lead-acid batteries based on battery model[D].Hefei:Hefei University of Technology,2015.
• [4]刘晓刚.铅酸蓄电池容量检测方法研究[D].武汉:华中科技大学,2007.LIU Xiaogang.Research on capacity detection of lead-acid batteries[D].Wuhan:Huazhong University of Science and Technology,2007.
• [5]吴池.AH计量法在Matlab环境下对锂离子电池SOC的估算[D].天津:天津大学,2007.WU Chi.SOC estimation of Lithium-ion battery using A-H measurement method in Matlab environment[D].Tianjin:Tianjin University,2007.
• [6]舒怀林.PID神经网络元对强耦合带时延多变量系统的解耦控制[J].控制理论与应用,1998,15(6):920-924.SHU Huailin.PID neural network for decoupling control of strong coupling multivariable time-delay system[J].Control theory and applications,1998,15(6):920-924.
• [7]刘金琨.先进PID控制Matlab仿真[M].2版.北京:电子工业出版社,2004:162-170.LIU Jinkun.Matlab simulation of advanced PID control[M].2nd ed.Beijing:Publishing House of Electronics Industry,2004:162-170.
• [8]蒋凯.车用铅酸电池SOC估算研究[D].长沙:中南大学,2013.JIANG Kai.SOC estimation of VRLA for electric vehicle research[D].Changsha:Central South University,2013.
• [9]葛哲学,孙志强.神经网络理论与Matlab R2007实现[M].北京:电子工业出版社,2007.GE Zhexue,SUN Zhiqiang.Neural network theory and Matlab R2007 application[M].Beijing:Publishing House of Electronics Industry,2007.
• [10]高飞.Matlab智能算法超级学习手册[M].北京:人民邮电出版社,2014:183-200.GAO Fei.Super learning manual of Matlab intelligent algorithm[M].Beijing:Posts&Telecom Press,2014:183-200.