在三平行立体线阵中,传统二维传播算子(Propagator Method,PM)算法进行传播算子估计时,根据划分子阵直接构造的信号协方差矩阵存在较大冗余度.为了降低运算量,可以通过子阵合并的方式,摒弃协方差矩阵的冗余数据,利用重构的协方差矩阵估...在三平行立体线阵中,传统二维传播算子(Propagator Method,PM)算法进行传播算子估计时,根据划分子阵直接构造的信号协方差矩阵存在较大冗余度.为了降低运算量,可以通过子阵合并的方式,摒弃协方差矩阵的冗余数据,利用重构的协方差矩阵估算传播算子,然后构造新的传播算子,得到与二维波达方向(direction of arrival,DOA)相关的三维超定方程组,再引入非线性最小二乘法处理该方程组求解得二维DOA信息.仿真结果表明,该算法降低了运算量,提高了二维DOA估计的精度.展开更多
In order to simulate the dynamical behavior of a lithium ion traction battery used in elec tric vehicles, an equivalent circuit based battery model was established. The methodology in the guide document of the ADVISO...In order to simulate the dynamical behavior of a lithium ion traction battery used in elec tric vehicles, an equivalent circuit based battery model was established. The methodology in the guide document of the ADVISOR software was used to determine the initial parameters of the model as a function of state of charge （ SoC ） over an experimental data set of the battery. A numerically nonlinear least squares algorithm in SIMULINK design optimization toolbox was applied to further op timize the model parameters. Validation results showed that the battery model could well describe the dynamic behavior of the lithinm ion battery in two different battery loading situations.展开更多
文摘在三平行立体线阵中,传统二维传播算子(Propagator Method,PM)算法进行传播算子估计时,根据划分子阵直接构造的信号协方差矩阵存在较大冗余度.为了降低运算量,可以通过子阵合并的方式,摒弃协方差矩阵的冗余数据,利用重构的协方差矩阵估算传播算子,然后构造新的传播算子,得到与二维波达方向(direction of arrival,DOA)相关的三维超定方程组,再引入非线性最小二乘法处理该方程组求解得二维DOA信息.仿真结果表明,该算法降低了运算量,提高了二维DOA估计的精度.
基金Supported by the National Natural Science Foundation of China(50905015)
文摘In order to simulate the dynamical behavior of a lithium ion traction battery used in elec tric vehicles, an equivalent circuit based battery model was established. The methodology in the guide document of the ADVISOR software was used to determine the initial parameters of the model as a function of state of charge （ SoC ） over an experimental data set of the battery. A numerically nonlinear least squares algorithm in SIMULINK design optimization toolbox was applied to further op timize the model parameters. Validation results showed that the battery model could well describe the dynamic behavior of the lithinm ion battery in two different battery loading situations.
