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燃料电池极化曲线分段辨识算法
引用本文:沈晓燕,陈凤祥,周苏.燃料电池极化曲线分段辨识算法[J].电池,2009,39(5).
作者姓名:沈晓燕  陈凤祥  周苏
作者单位:沈晓燕,陈凤祥(同济大学汽车学院,上海,201804);周苏(同济大学汽车学院,上海,201804;同济大学中德学院,上海,200092) 
基金项目:2008年上海市"浦江人才"计划,国家863项目 
摘    要:基于区间分段思想,将极化曲线非线性参数辨识转化为两个线性最小二乘辨识子问题.MATLAB仿真表明,拟合曲线与模型数据及实验数据的平均二次误差,分别为开路电压的0.31%和0.75%,精度与牛顿法相当.

关 键 词:燃料电池  极化曲线  区间分段  在线辨识

Segmentation identification algorithm for fuel cell polarization curve
SHEN Xiao-yan,CHEN Feng-xiang,ZHOU Su.Segmentation identification algorithm for fuel cell polarization curve[J].Battery Bimonthly,2009,39(5).
Authors:SHEN Xiao-yan  CHEN Feng-xiang  ZHOU Su
Affiliation:SHEN Xiao-yan1,CHEN Feng-xiang1,ZHOU Su1,2(1.School of Automotive studies,Tongji University,Shanghai 201804,China,2.Chinesisch-Deutsche Hochschulkolleg,Shanghai 200092,China)
Abstract:The nonlinear parameter identification of fuel cell polarization curve was converted into two sub-problems of linear least square identification based on interval segmentation technique.The average quadratic error between fitting curve and model data was 0.31% and the error between fitting curve and experimental data was 0.75% of the open circuit voltage,which showed in MATLAB simulation,which were as accurate as the Newton method.
Keywords:fuel cell  polarization curve  interval segmentation  on-line identification  
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