Successive large perturbation method for the elimination of initial value dependence in I-V curve fitting.
Successive large perturbation method for the elimination of initial value dependence in I-V curve fitting.
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DOI：
10.1063/1.3264083
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发表时间：
2009-11
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影响因子：
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通讯作者：
Jinhua Cai;Norifusa Satoh;M. Yanagida;Liyuan Han
中科院分区：
文献类型：
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作者：
Jinhua Cai;Norifusa Satoh;M. Yanagida;Liyuan Han
针对太阳电池I-V参数提取的最小二乘数值拟合中初值依赖性问题，提出了一种逐次大扰动法（SLPM）。该方法在进行下一轮牛顿式迭代之前对某个参数施加大的扰动，如果I-V参数存在潜在的初始值依赖问题，通常会获得更好的结果。偏差均方对大分流电阻变化的数值不敏感性是造成初值依赖性的一个关键因素。一个染料敏化太阳能电池的应用实例表明，将SLPM应用于类牛顿法得到的结果后，反向饱和电流I（0）发生了约60%的变化。我们的结果表明，SLPM是一个强大的工具，以消除初始值依赖的I-V曲线拟合。
A successive large perturbation method (SLPM) is proposed to resolve the problem of initial value dependence in the numerical least-square fitting for the extraction of I-V parameters in solar cells. In this method a large perturbation is applied onto certain a parameter before next turn of Newton-like iteration is proceeded and an improved result is usually obtained if the I-V parameters suffer from a latent initial value dependence problem. The numerical insensitivity of mean square of deviation to the variation of large shunt resistance is a critical factor to cause the initial value dependence. An application example for a dye-sensitized solar cell shows that about a 60% change of reverse saturation current I(0) occurs after SLPM is applied to the result obtained by Newton-like method. Our result demonstrates that SLPM is a powerful tool to eliminate the initial value dependence in I-V curve fitting.