遗传算法在等效电路模型初值估计中的应用  

Application of genetic algorithms in estimating the initial value of equivalent circuit

作　　者：王海英[1] 李革臣[1] 孙鹏[1] 张礼勇[2] 

机构地区：[1]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080 [2]哈尔滨理工大学测通学院,黑龙江哈尔滨150040

出　　处：《电源技术》2007年第6期475-477,共3页Chinese Journal of Power Sources

基　　金：国家重点基础研究计划"973"项目(2002CB211803)

摘　　要：现有的阻抗谱拟合软件如EQUIVCRT都没有很好地解决参数初值选取的问题,这直接影响了阻抗曲线拟合的效果。应用遗传算法设计了一种估计等效电路模型初值的方法,结合高斯牛顿算法进行迭代,较好地解决了初值选取的问题。Most of the softwares, which are used in fitting chart of EIS, such as EQUIVCRT,cannot deal with the problem of estimating the initial value, which influence the results of fitting chart. The initial value of equivalent circuit was estimated by genetic algorithms, and was combined with GN arithmetic to solve the problem.

关 键 词：遗传算法 等效电路 初值 

分 类 号：TM911[电气工程—电力电子与电力传动]