Modeling and Electrical Parameters Extracting of Polymer Solar Cells

E. Chahid, A. Malaoui, A. Koumina, S. Belaaouad
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Abstract

The Polymer Solar Cells (PSCs) have gained increasing interest in the past few years as a possible alternative to silicon cells and could provide many advantages as a flexibility and low cost... The functioning of PSCs depends heavily on intrinsic electrical parameters through the knowledge of the influence of each parameter on the I-V characteristic of the cell. In this work, we determine the PSC’s electrical parameters of the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl-C61-butyric acid methyl ester (PCBM). This identification is based on the experimental current- voltage characteristic using a single diode model. The Least Square Method (LSM) combined with Levenberg Marquardt’s algorithm are proposed to identify these electrical parameters. The obtained results indicate the importance of the proposed method and a high accuracy of the estimated parameters compared with the previous conducting studies.
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聚合物太阳能电池建模与电参数提取
聚合物太阳能电池(PSCs)作为硅电池的一种可能的替代品,在过去的几年里获得了越来越多的兴趣,并且可以提供许多灵活性和低成本的优点。通过了解每个参数对细胞I-V特性的影响,PSCs的功能在很大程度上取决于内在电参数。在这项工作中,我们确定了聚(3-己基噻吩)(P3HT)和[6,6]-苯基- c61 -丁酸甲酯(PCBM)的PSC的电参数。这种识别是基于单二极管模型的实验电流-电压特性。提出了结合Levenberg - Marquardt算法的最小二乘法(LSM)来识别这些电参数。所得结果表明,与以往的研究相比,所提出的方法的重要性和估计参数的准确性较高。
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