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Parameter identification and spectral response estimation of equivalent physical model of solar cells
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Jingwei Zhang1, Shang Cao1, Li Feng2, Kun Ding1, U. Hamelmann Frank2, Hang Yang3, Xiang Chen1
Renewable Energy Resources | 2025, 43(2) : 173 - 182
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Renewable Energy Resources | 2025, 43(2): 173-182
Parameter identification and spectral response estimation of equivalent physical model of solar cells
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Jingwei Zhang1, Shang Cao1, Li Feng2, Kun Ding1, U. Hamelmann Frank2, Hang Yang3, Xiang Chen1
Affiliations
  • 1 College of Mechanical and Electrical Engineering Hohai University Changzhou 213200 China
  • 2 Solar Computing Laboratory Hochschule Bielefeld University of Applied Sciences and Arts Minden 32427 Germany
  • 3 Changzhou Key Laboratory of Photovoltaic System Integration and Production Equipment Technology Changzhou 213200 China
Published: 2025-02-20
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In order to comprehensively evaluate the power generation performance of solar cells, aiming at solving the problem that the existing photovoltaic (PV) equivalent circuit model cannot estimate its spectral response characteristics, in this paper, an equivalent physical model of solar cells and its parameter identification method based on the finite element method is proposed to estimate its electrical characteristics and spectral response. Firstly, the influence of key parameters in the finite element model on the estimation results of electrical characteristics is analyzed. Six parameters, including the thickness of the emitter region, the thickness of the base region, the doping concentration of the emitter region, the doping concentration of the base region, the series resistance, and the parallel resistance, are determined as the model parameter identification objects. Then, based on the measured currentvoltage (IV) characteristic data under high irradiation conditions, the particle swarm optimization algorithm is used to identify the above parameters. Finally, the IV characteristics under different irradiation and temperature conditions are measured and compared with the model estimation results. Meanwhile, the solar spectrum curves are measured to indirectly verify the accuracy of the spectral response of the solar cell estimated by the model. The experimental results show that the root mean square error (RMSE) of the estimated current for monoSi and polySi cell models are in the range of 0.019 2 A to 0.030 2 A and 0.018 0 A to 0.051 5 A, respectively. The absolute percentage error between the estimated shortcircuit current and the measured shortcircuit current is concentrated below 15%. The proposed equivalent physical model of solar cell and corresponding parameter identification method can comprehensively reflect its actual performance.

solar cells  /  photovoltaic model  /  finite element model  /  spectral response  /  parameter identification
Jingwei Zhang, Shang Cao, Li Feng, Kun Ding, U. Hamelmann Frank, Hang Yang, Xiang Chen. Parameter identification and spectral response estimation of equivalent physical model of solar cells[J]. Renewable Energy Resources, 2025 , 43 (2) : 173 -182 .
Year 2025 volume 43 Issue 2
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  • Receive Date:2023-12-04
  • Online Date:2025-07-18
  • Published:2025-02-20
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  • Received:2023-12-04
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Affiliations
    1 College of Mechanical and Electrical Engineering Hohai University Changzhou 213200 China
    2 Solar Computing Laboratory Hochschule Bielefeld University of Applied Sciences and Arts Minden 32427 Germany
    3 Changzhou Key Laboratory of Photovoltaic System Integration and Production Equipment Technology Changzhou 213200 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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