With the rise of the electric vehicle industry,as the power source of electric vehicles,lithium battery has become a research hotspot.The state of charge(SOC)estimation and modelling of lithium battery are studied in ...With the rise of the electric vehicle industry,as the power source of electric vehicles,lithium battery has become a research hotspot.The state of charge(SOC)estimation and modelling of lithium battery are studied in this paper.The ampere-hour(Ah)integration method based on external characteristics is analyzed,and the open-circuit voltage(OCV)method is studied.The two methods are combined to estimate SOC.Considering the accuracy and complexity of the model,the second-order RC equivalent circuit model of lithium battery is selected.Pulse discharge and exponential fitting of lithium battery are used to obtain corresponding parameters.The simulation is carried out by using fixed resistance capacitance and variable resistance capacitor respectively.The accuracy of variable resistance and capacitance model is 2.9%,which verifies the validity of the proposed model.展开更多
软磁复合材料因其突出的高频特性而被广泛用作变压器和电机的铁心材料。为了提高高频磁化下变压器或电机的效率与功率密度,需要提高产品设计阶段铁损的计算精度。该文提出一种基于梯形等效电路与神经网络结合的动态磁滞模型,可用以计算...软磁复合材料因其突出的高频特性而被广泛用作变压器和电机的铁心材料。为了提高高频磁化下变压器或电机的效率与功率密度,需要提高产品设计阶段铁损的计算精度。该文提出一种基于梯形等效电路与神经网络结合的动态磁滞模型,可用以计算高频软磁复合材料铁损。该模型通过非理想电感、恒定电阻和非线性电阻分别计算静态磁滞损耗、涡流损耗和异常损耗;其中,为了提高低磁密下静态磁滞回环的模拟精度,引入能够表征磁化过程的神经网络算法模拟静态磁滞部分;同时,在采用梯形等效电路计算涡流损耗和异常损耗时,考虑趋肤效应对铁损的影响;最后,搭建高频正弦激励下的软磁材料磁特性测试系统,在频率为1 Hz~10 k Hz范围内对软磁复合材料的磁滞回线和铁损进行实验测量,并将铁损计算方法与实测数据进行对比,验证该模型在高频正弦激励下预估损耗的准确性,为变压器和电动机优化设计提供一种模型结构简单、精度较高且工程实用性强的损耗计算方法。展开更多
基金Project(51507073)supported by the National Natural Science Foundation of China。
文摘With the rise of the electric vehicle industry,as the power source of electric vehicles,lithium battery has become a research hotspot.The state of charge(SOC)estimation and modelling of lithium battery are studied in this paper.The ampere-hour(Ah)integration method based on external characteristics is analyzed,and the open-circuit voltage(OCV)method is studied.The two methods are combined to estimate SOC.Considering the accuracy and complexity of the model,the second-order RC equivalent circuit model of lithium battery is selected.Pulse discharge and exponential fitting of lithium battery are used to obtain corresponding parameters.The simulation is carried out by using fixed resistance capacitance and variable resistance capacitor respectively.The accuracy of variable resistance and capacitance model is 2.9%,which verifies the validity of the proposed model.
文摘软磁复合材料因其突出的高频特性而被广泛用作变压器和电机的铁心材料。为了提高高频磁化下变压器或电机的效率与功率密度,需要提高产品设计阶段铁损的计算精度。该文提出一种基于梯形等效电路与神经网络结合的动态磁滞模型,可用以计算高频软磁复合材料铁损。该模型通过非理想电感、恒定电阻和非线性电阻分别计算静态磁滞损耗、涡流损耗和异常损耗;其中,为了提高低磁密下静态磁滞回环的模拟精度,引入能够表征磁化过程的神经网络算法模拟静态磁滞部分;同时,在采用梯形等效电路计算涡流损耗和异常损耗时,考虑趋肤效应对铁损的影响;最后,搭建高频正弦激励下的软磁材料磁特性测试系统,在频率为1 Hz~10 k Hz范围内对软磁复合材料的磁滞回线和铁损进行实验测量,并将铁损计算方法与实测数据进行对比,验证该模型在高频正弦激励下预估损耗的准确性,为变压器和电动机优化设计提供一种模型结构简单、精度较高且工程实用性强的损耗计算方法。
