摘要
针对光伏系统中蓄电池建模十分困难的问题,基于T S模糊模型,提出一种模糊建模方法。该方法采用三角形隶属函数计算给定样本的隶属度,利用稳态卡尔曼滤波器辨识模糊模型的结论参数,并把辨识模型的仿真结果与系统实验测量数据相对比,以检验模糊模型的可靠性。实验结果表明,这种新的蓄电池建模方法具有很高的精度,为高度复杂的非线性电化学过程的模型化提供了一条新途经。
A method of fuzzy modeling was proposed based on T-S fuzzy model.This paper proposed.The grade of membership for each given patterns using triangle-shaped membership functions was calculated,Kalman filter can be used to identify the consequence parameters of fuzzy model,the simulation result was compared with the experimental data to test the reliability of the fuzzy model.The higher accuracy of the proposed fuzzy modeling method for battery was shown by simulation results.The method provides a new approach for modeling of high nonlinear electrochemical processes.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2003年第4期448-452,共5页
Acta Energiae Solaris Sinica
基金
九五"国家重点科技攻关计划(96 120 42)
河北省重大科技攻关计划项目(95 96 07 1)
关键词
模糊辨识
建模
蓄电池
卡尔曼滤波
非线性
fuzzy identification
modeling
battery
Kalman filtering
nonlinear
