张建新, 刘昶时. 辐射对太阳电池光电输出性能影响的定量研究[J]. 太阳能学报, 2022, 43(11): 20-25. DOI: 10.19912/j.0254-0096.tynxb.2021-0148
引用本文: 张建新, 刘昶时. 辐射对太阳电池光电输出性能影响的定量研究[J]. 太阳能学报, 2022, 43(11): 20-25. DOI: 10.19912/j.0254-0096.tynxb.2021-0148
Zhang Jianxin, Liu Changshi. QUANTITATIVE STUDY INFLUENCE OF RADIATION ON PHOTOELECTRIC OUTPUT PERFORMANCE OF SOLAR CELLS[J]. Acta Energiae Solaris Sinica, 2022, 43(11): 20-25. DOI: 10.19912/j.0254-0096.tynxb.2021-0148
Citation: Zhang Jianxin, Liu Changshi. QUANTITATIVE STUDY INFLUENCE OF RADIATION ON PHOTOELECTRIC OUTPUT PERFORMANCE OF SOLAR CELLS[J]. Acta Energiae Solaris Sinica, 2022, 43(11): 20-25. DOI: 10.19912/j.0254-0096.tynxb.2021-0148

辐射对太阳电池光电输出性能影响的定量研究

QUANTITATIVE STUDY INFLUENCE OF RADIATION ON PHOTOELECTRIC OUTPUT PERFORMANCE OF SOLAR CELLS

  • 摘要: 该文定量研究电子和质子辐射对太阳电池输出特性的影响。首先,证实作者前期工作得到的太阳电池输出电流-电压(I-V)模型仍适用于高能粒子辐射后的太阳电池;其次,由太阳电池输出电流-电压特征量定义一个等效电阻(Req)。采用最小二乘方曲线拟合方法,找到能够定量描述太阳电池能量转化效率(PCE)与等效电阻(Req)的关系,并且定量解释了经历电子和质子辐照的太阳电池的等效电阻(Req)同辐照剂量的关系。最后,扩展这个模型用于定量描述太阳电池外量子效率(EQE)与入射光子能量(hν)的关系,经拟合验证,该模型与实验数据十分吻合,理论同实验结果的相关系数R大于0.98,平均相对误差(ARE)小于3%。

     

    Abstract: The effects of electron and proton radiation on the output characteristics of solar cells are studied quantitatively. First of all,it is confirmed that the output current voltage,I-V model of solar cells obtained by the author’s previous work is still suitable for solar cells irradiated by high-energy particles;Secondly,an equivalent resistance(Req)is defined by the output current voltage characteristic quantity of solar cells. The relationship between the energy conversion efficiency(PCE)and the equivalent resistance(Req)of solar cells is found by using the least square curve fitting method,and the relationship between the equivalent resistance(Req)of solar cells irradiated by electrons and protons and the radiation dose is explained quantitatively. Finally,the model is extended to describe the relationship between the external quantum efficiency,EQE,and the incident photon energy(hν)of solar cells. The fitting results show that the model is in good agreement with the experimental data. The correlation coefficient R between the theoretical and experimental results is greater than 0.98,and the average relative error is less than 3%.

     

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