Open AccessElectrical and environmental parameters of the performance of polymer solar cells based on P3HT:PCBM
Author(s) -
El Hadi Chahid,
Mohamed Lotfi,
Osama Lotfi,
My Abdelaziz Koumina,
Rodolphe Heyd,
abdessamad malaoui
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i3.pp1772-1783
Subject(s) - monotonic function , diode , voltage , materials science , electric potential energy , polymer , electrical resistivity and conductivity , band gap , energy conversion efficiency , solar energy , energy (signal processing) , biological system , thermodynamics , analytical chemistry (journal) , optoelectronics , chemistry , mathematics , physics , statistics , composite material , electrical engineering , chromatography , mathematical analysis , quantum mechanics , engineering , biology
The electrical and environmental parameters of polymer solar cells (PSC) provide important information on their performance. In the present article we study the influence of temperature on the voltage-current (I-V) characteristic at different temperatures from 10 °C to 90 °C, and important parameters like bandgap energy Eg, and the energy conversion efficiency η. The one-diode electrical model, normally used for semiconductor cells, has been tested and validated for the polemeral junction. The PSC used in our study are formed by the poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM). Our technique is based on the combination of two steps; the first use the Least Mean Squares (LMS) method while the second use the Newton-Raphson algorithm. The found results are compared to other recently published works, they show that the developed approach is very accurate. This precision is proved by the minimal values of statistical errors (RMSE) and the good agreement between both the experimental data and the I-V simulated curves. The obtained results show a clear and a monotonic dependence of the cell efficiency on the studied parameters.