Advanced Modeling and Comparative Error Analysis of Photovoltaic Cells Using Multi-Diode Models and EQE Characterization

Authors

  • Azem Hysa “Aleksander Moisiu” University
  • Stela Sefa “Aleksander Moisiu” University
  • I. M. Elzein University of Doha for Science and Technology
  • Alfian Ma'arif Universitas Ahmad Dahlan
  • Mohamed Metwally Mahmoud Aswan University
  • Ezzeddine Touti Northern Border University
  • Ali M. El-Rifaie American University of the Middle East
  • Noha Anwer The High Institute of Engineering and Technology

DOI:

https://doi.org/10.18196/jrc.v6i5.27539

Keywords:

Efficient Energy, Error Analysis, External Quantum Efficiency, PV Cells, Sustainability

Abstract

The consumption of electricity is substantially increasing as the striving of finding low carbon source of energy like solar energy. Through this research a consideration of three models to be addressed, SDM, DDM, and TDM, to extensively studying the functioning of PV cells. The objectives of the study are set to include plotting I-V and P-V characteristics, power output analysis over time, the calculation of energy accumulation and errors, as well as relative and absolute errors in I-V. The paper also determines the RMSE and analysis of the EQE of silicon, organic, perovskite and quantum dot PV cells. Mathematical analyses are used to solve nonlinear equations and applied simulation is adopted using MATLAB. The result provided an insight towards the electrical behavior of the PV cell at different conditions, demonstrating how external and model variables impact them. This class of information is vital for understanding physics, renewable energy and aid towards creating the precise analysis of PV cell function through the optimization of PV technology. The research also addresses critical issues such as energy conversion in PV systems, and error analysis.

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2025-09-24

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[1]
A. Hysa, “Advanced Modeling and Comparative Error Analysis of Photovoltaic Cells Using Multi-Diode Models and EQE Characterization”, J Robot Control (JRC), vol. 6, no. 5, pp. 2308–2321, Sep. 2025.

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