基于DBN算法的锂离子电池SOC估计研究
|
摘要
为进一步精确估计锂离子储能电池精度,本研究在恒流放电法和戴维南等效模型的理论基础上,得到E-SOC曲线。利用DBN算法,结合实验数据,对锂离子电池组SOC进行估计。仿真结果表明,本研究方法能在允许误差范围内预测SOC的趋势变化,有效提高了SOC估计精度。
To further estimate the accuracy of lithium-ion battery accurately, the E-SOC curve is obtained based on the theory of constant current discharge method and Thevenin equivalent model. SOC of lithium-ion battery pack is estimated. Based on DBN and experimental data, SOC of lithium-ion battery pack is estimated. The simulation results show that the proposed method can predict the trend change of SOC within the allowable error range and effectively improve the estimation accuracy of SOC.
To further estimate the accuracy of lithium-ion battery accurately, the E-SOC curve is obtained based on the theory of constant current discharge method and Thevenin equivalent model. SOC of lithium-ion battery pack is estimated. Based on DBN and experimental data, SOC of lithium-ion battery pack is estimated. The simulation results show that the proposed method can predict the trend change of SOC within the allowable error range and effectively improve the estimation accuracy of SOC.
引文
[1] 陈息坤,孙冬.锂离子电池建模及其参数辨识方法研究[J].中国电机工程学报,2016,36(22) :1-2.CHEN Xikun,SUN Dong.Research on lithium-ion battery modeling and model parameter identification methods[J].Proceedings of the CSEE,2016,36 (22) :1-2.
[2] 张金龙.动力电池组SOC估算及均衡控制方法研究[D].天津:天津大学,2011 :19-23.ZHANG Jinlong.Research on SOC estimation and balance control methods for power battery packs[D].Tianjin:Tianjin University,2011:19-23.
[3] 龙珠,郑浩野.基于BP神经网络的自适应距离保护[J].黑龙江电力,2015,37(4) :1-2.LONG Zhu,ZHENG Haoye.Application of adaptive distance protection based on BP neural network[J].Heilongjiang Electric Power,2015,37 (4) :1-2.
[4] 朱斌.基于BP神经网络的燃煤机组NOx排放浓度预测模型[J].黑龙江电力,2014,10(5) :1-2.ZHU Bin.Forecasting model of NOx emission concentration for coal-fired unit based on BP neural network[J].Heilongjiang Electric Power,2014,10 (5) :1-2.
[5] 李晓蕊.基于DBN模型的铁路异物侵限检测算法研究[J].电子测量技术,2018,41(12) :2-3.LI Xiaorui.Research on railway foreign body intrusion detection algorithm based on DBN model [J].Electronic Measurement Technology,2018,41 (12) :2-3.
[6] 罗海峰,方莉娜,陈崇成,等.基于DBN的车载激光点云路侧多目标提取[J].测绘学报,2018,47(2) :1-2.LUO Haifeng,FANG Lina,CHEN Chongcheng,et al.Roadside multiple objects extraction from mobile laser scanning point cloud based on DBN[J].Acta Geodaetica et Cartographica Sinica,2018,47 (2) :1-2.
[2] 张金龙.动力电池组SOC估算及均衡控制方法研究[D].天津:天津大学,2011 :19-23.ZHANG Jinlong.Research on SOC estimation and balance control methods for power battery packs[D].Tianjin:Tianjin University,2011:19-23.
[3] 龙珠,郑浩野.基于BP神经网络的自适应距离保护[J].黑龙江电力,2015,37(4) :1-2.LONG Zhu,ZHENG Haoye.Application of adaptive distance protection based on BP neural network[J].Heilongjiang Electric Power,2015,37 (4) :1-2.
[4] 朱斌.基于BP神经网络的燃煤机组NOx排放浓度预测模型[J].黑龙江电力,2014,10(5) :1-2.ZHU Bin.Forecasting model of NOx emission concentration for coal-fired unit based on BP neural network[J].Heilongjiang Electric Power,2014,10 (5) :1-2.
[5] 李晓蕊.基于DBN模型的铁路异物侵限检测算法研究[J].电子测量技术,2018,41(12) :2-3.LI Xiaorui.Research on railway foreign body intrusion detection algorithm based on DBN model [J].Electronic Measurement Technology,2018,41 (12) :2-3.
[6] 罗海峰,方莉娜,陈崇成,等.基于DBN的车载激光点云路侧多目标提取[J].测绘学报,2018,47(2) :1-2.LUO Haifeng,FANG Lina,CHEN Chongcheng,et al.Roadside multiple objects extraction from mobile laser scanning point cloud based on DBN[J].Acta Geodaetica et Cartographica Sinica,2018,47 (2) :1-2.