锂离子电池的荷电状态(State of charge,SOC)和健康状态(State of health,SOH)是电池储能系统在运维过程中所需要估算的重要参数。为了能够对电池状态进行可靠估计,采用深度学习方法中的简单循环单元(Simple recurrent unit,SRU)来实现...锂离子电池的荷电状态(State of charge,SOC)和健康状态(State of health,SOH)是电池储能系统在运维过程中所需要估算的重要参数。为了能够对电池状态进行可靠估计,采用深度学习方法中的简单循环单元(Simple recurrent unit,SRU)来实现对电池SOC和SOH的联合估计。首先,通过利用SRU在处理时序问题上的优势,建立了基于SRU的电池SOC估计模型;接着,给模型引入了数据单元的输入形式,并使用含有电池老化信息的样本数据来对模型进行训练,使得训练好的模型能够实现任意电池老化程度下的SOC估计;最后,通过对该模型输出的SOC估计值中所隐含的老化信息进行挖掘,实现对电池SOH的估计。试验结果表明,该联合估计方法可以实现电池SOC与SOH的准确估计,并且对不同种类的电池也有较好的适用能力。展开更多
In this paper,the seismic behaviors of precast bridge columns connected with grouted corrugated-metal duct(GCMD)were investigated through the biaxial quasi-static experiment and numerical simulation.With a geometric s...In this paper,the seismic behaviors of precast bridge columns connected with grouted corrugated-metal duct(GCMD)were investigated through the biaxial quasi-static experiment and numerical simulation.With a geometric scale ratio of 1:5,five specimens were fabricated,including four precast bridge columns connected with GCMD and one cast-in-place(CIP)bridge column.A finite element analysis model was also established by using OpenSees and was then calibrated by using the experimental results for parameter analysis.The results show the biaxial seismic performance of the precast bridge columns connected with GCMD was similar to the CIP bridge columns regarding ultimate bearing capacity and hysteresis energy,and further,that it could meet the design goal of equivalent performance.The seismic performance of the precast bridge columns connected with GCMD deteriorated more significantly under bi-directional load than under uni-directional load.A proper slenderness ratio(e.g.,7.0-10.0)and longitudinal reinforcement ratio could significantly improve the energy dissipation capacity and deformation capacity of the precast bridge columns,while the axial load ratio and concrete strength had little influence on the above properties.The research results could bring insights to the development of the seismic design of precast bridge columns connected with GCMD.展开更多
文摘锂离子电池的荷电状态(State of charge,SOC)和健康状态(State of health,SOH)是电池储能系统在运维过程中所需要估算的重要参数。为了能够对电池状态进行可靠估计,采用深度学习方法中的简单循环单元(Simple recurrent unit,SRU)来实现对电池SOC和SOH的联合估计。首先,通过利用SRU在处理时序问题上的优势,建立了基于SRU的电池SOC估计模型;接着,给模型引入了数据单元的输入形式,并使用含有电池老化信息的样本数据来对模型进行训练,使得训练好的模型能够实现任意电池老化程度下的SOC估计;最后,通过对该模型输出的SOC估计值中所隐含的老化信息进行挖掘,实现对电池SOH的估计。试验结果表明,该联合估计方法可以实现电池SOC与SOH的准确估计,并且对不同种类的电池也有较好的适用能力。
基金National Natural Science Foundation of China under Grant No.51408360the Natural Science Foundation of Fujian(NSFF)under Grant No.2020J01477the Technology Project of Fuzhou Science and Technology Bureau(TPFB)under Grant No.2020-GX-18。
文摘In this paper,the seismic behaviors of precast bridge columns connected with grouted corrugated-metal duct(GCMD)were investigated through the biaxial quasi-static experiment and numerical simulation.With a geometric scale ratio of 1:5,five specimens were fabricated,including four precast bridge columns connected with GCMD and one cast-in-place(CIP)bridge column.A finite element analysis model was also established by using OpenSees and was then calibrated by using the experimental results for parameter analysis.The results show the biaxial seismic performance of the precast bridge columns connected with GCMD was similar to the CIP bridge columns regarding ultimate bearing capacity and hysteresis energy,and further,that it could meet the design goal of equivalent performance.The seismic performance of the precast bridge columns connected with GCMD deteriorated more significantly under bi-directional load than under uni-directional load.A proper slenderness ratio(e.g.,7.0-10.0)and longitudinal reinforcement ratio could significantly improve the energy dissipation capacity and deformation capacity of the precast bridge columns,while the axial load ratio and concrete strength had little influence on the above properties.The research results could bring insights to the development of the seismic design of precast bridge columns connected with GCMD.
