储能系统锂离子电池附加受控电压源等效电路模型研究  

EQUIVALENT CIRCUIT MODEL OF LITHIUM-ION BATTERIES ATTACHED CONTROLLED VOLTAGE SOURCE IN ENERGY STORAGE SYSTEM

作　　者：刘玉洁 赵巍[1] 孙孝峰[1] 王宝诚[1] 李昕[1] Liu Yujie;Zhao Wei;Sun Xiaofeng;Wang Baocheng;Li Xin(Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province,Yanshan University,Qinhuangdao 066004,China)

机构地区：[1]电力电子节能与传动控制河北省重点实验室(燕山大学),秦皇岛066004

出　　处：《太阳能学报》2023年第8期1-9,共9页Acta Energiae Solaris Sinica

基　　金：河北省重点研发项目(19214405D);河北省自然科学基金重点项目(E2021203162);秦皇岛市科技计划项目(202005A013)。

摘　　要：该文在少温度和少放电电流样本测试条件下,基于二阶RC等效电路模型提出一种模型改进的方法,构建反向传播(BP)神经网络来预测宽范围温度和电流倍率下的模型端电压误差,实现对模型的动态补偿。该方法可避免对锂离子电池重复进行充、放电实验而造成循环寿命折损。仿真和实验结果表明,所提小样本数据扩展的方法具有一定的可行性;附加受控电压源的电池模型在不同温度和电流倍率下的适应性更好,模型精度得到提升。该方法通过模型分析实现电池筛选组成梯次利用储能系统,并结合电池模型实现荷电状态(SOC)预测及发热预警,在新能源发电电池储能系统应用中具有一定的实际工程意义。This article proposed a model improvement method based on the second-order RC equivalent circuit model,which was carried out under testing conditions of missing temperature sample and fewer discharge current sample.And a BP neural network was constructed to predict the terminal voltage error of the model in a wide range of temperature and current rates,in order to achieve dynamic compensation of the model.This method can avoid the loss of cycle life caused by repeated charging and discharging experiments of lithium-ion batteries.The simulation and experimental results indicate that the proposed small sample data expansion method is feasible;The battery model with an additional controllable voltage source has better adaptability at different temperatures and current rates,improving the accuracy of the model.Through model analysis,batteries are screened to form a cascade utilization energy storage system,and combined with battery models to achieve SOC prediction and heat warning.The model has practical engineering significance for the application of new energy generation battery energy storage systems.

关 键 词：锂离子电池 等效电路 神经网络 小样本数据扩展 附加受控电压源 储能 

分 类 号：TM911[电气工程—电力电子与电力传动]