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<p>In this work, we present a novel behavioral model for a CGS/CIGS tandem solar cell developed using PyAMS, a Python-based framework for analog and mixed-signal simulations. Starting from a previously published reference cell, the device was re-modeled by means of the PyAMS methodology, which combines both electrical and optical modeling. The electrical part represents the solar cell through voltage-dependent current sources and intrinsic parameters, while the optical part accounts for absorption processes and bandgap-dependent properties of the active layers. Quantitative comparison with published experimental results shows very good agreement, validating the accuracy of the proposed model. The main novelty of this work lies in the development of a unified behavioral model that integrates both electrical and optical effects within PyAMS. The model not only validates experimental data but also demonstrates the impact of bandgap engineering and absorber thickness optimization, leading to an efficiency improvement of about 2%, reaching 28.6%. These findings highlight the capability of PyAMS as a flexible and extensible tool for accelerating the modeling and performance evaluation of tandem solar cells.</p>

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Behavioral modeling of a CGS/CIGS tandem solar cell using PyAMS: integrating electrical and optical models for performance validation

  • 期刊论文

  • 发表日期：

    2026年4月12日

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  • Dhiabi Fathi

摘要

In this work, we present a novel behavioral model for a CGS/CIGS tandem solar cell developed using PyAMS, a Python-based framework for analog and mixed-signal simulations. Starting from a previously published reference cell, the device was re-modeled by means of the PyAMS methodology, which combines both electrical and optical modeling. The electrical part represents the solar cell through voltage-dependent current sources and intrinsic parameters, while the optical part accounts for absorption processes and bandgap-dependent properties of the active layers. Quantitative comparison with published experimental results shows very good agreement, validating the accuracy of the proposed model. The main novelty of this work lies in the development of a unified behavioral model that integrates both electrical and optical effects within PyAMS. The model not only validates experimental data but also demonstrates the impact of bandgap engineering and absorber thickness optimization, leading to an efficiency improvement of about 2%, reaching 28.6%. These findings highlight the capability of PyAMS as a flexible and extensible tool for accelerating the modeling and performance evaluation of tandem solar cells.