一个新的太阳电池显式模型以预测在任何太阳辐照度和温度时的I-V

张建新, 刘俊星, 傅文珍, 刘昶时

太阳能学报 ›› 2023, Vol. 44 ›› Issue (4) : 393-397.

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (4) : 393-397. DOI: 10.19912/j.0254-0096.tynxb.2021-1381

一个新的太阳电池显式模型以预测在任何太阳辐照度和温度时的I-V

  • 张建新1, 刘俊星2, 傅文珍1, 刘昶时1
作者信息 +

A NEW EXPLICIT MODEL OF SOLAR CELL TO PREDICT I-V AT ANY IRRADIANCE AND TEMPERATURE CONDITION

  • Zhang Jianxin1, Liu Junxing2, Fu Wenzhen1, Liu Changshi1
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文章历史 +

摘要

采用求解满足实验结果的微分方程,建立一个三参数的显函数模型。经过22条实验数据的验证肯定该模型的正确性。更好的结果是该工作成功地发展出次级模型即模型参数同太阳辐照度及温度的定量关系,从而实现用太阳辐照度和温度预测太阳电池的I-V

Abstract

In this paper, a three-parameter explicit function model is established by solving the differential equation satisfying the experimental results. The correctness of the model is verified by 22 pieces of experimental data. A better result is that this work has successfully developed a secondary model, that is, obtaining the quantitative relationship between model parameters and irradiance and temperature. Thereby, it realizes using irradiance and temperature to predict the I-V of solar cells.

关键词

太阳电池 / 模型 / I-V曲线 / 参数 / 温度 / 太阳辐照度

Key words

solar cells / model / I-V curve / parameter / temperature / solar irradiance

引用本文

导出引用
张建新, 刘俊星, 傅文珍, 刘昶时. 一个新的太阳电池显式模型以预测在任何太阳辐照度和温度时的I-V[J]. 太阳能学报. 2023, 44(4): 393-397 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1381
Zhang Jianxin, Liu Junxing, Fu Wenzhen, Liu Changshi. A NEW EXPLICIT MODEL OF SOLAR CELL TO PREDICT I-V AT ANY IRRADIANCE AND TEMPERATURE CONDITION[J]. Acta Energiae Solaris Sinica. 2023, 44(4): 393-397 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1381
中图分类号: O482.7   

参考文献

[1] ALI N M, RAFAT N H.Modeling and simulation of nanorods photovoltaic solar cells: a review[J]. Renewable and sustainable energy reviews, 2017, 68: 212-220.
[2] ALMONACID F, RODRIGO P, FERNÁNDEZ E F.Determination of the current-voltage characteristics of concentrator systems by using different adapted conventional techniques[J]. Energy, 2016, 101: 146-160.
[3] ZHOU Y C, HUANG F Z, CHENG Y B, et al.Numerical analysis of a hysteresis model in perovskite solar cells[J]. Computational materials science, 2017, 126: 22-28.
[4] HAMACHE A, SENGOUGA N, MEFTAH A, et al.Modeling the effect of 1 MeV electron irradiation on the performance of n+-p-p+ silicon space solar cells[J]. Radiation physics and chemistry, 2016, 123: 103-108.
[5] LUN S X, DU C J, GUO T T, et al.A new explicit I-V model of a solar cell based on Taylor's series expansion[J]. Solar energy, 2013, 94: 221-232.
[6] LIU C S.Prediction of current and the maximum power of solar cell via voltage generated by light and irradiance using analytically invertible function[J]. Solar energy, 2015, 113: 340-346.
[7] ZHANG J X, LIU J X, LIU C S.An algebra method to fast track the maximum power of solar cell via voltage, irradiance and temperature[J]. Optik, 2018, 174: 332-338.
[8] SEYEDMAHMOUDIAN M, HORAN B, SOON T K, et al.State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems: a review[J]. Renewable and sustainable energy reviews, 2016, 64: 435-455.
[9] HEJRI M, MOKHTARI H, AZIZIAN M R, et al.On the parameter extraction of a five-parameter double-diode model of photovoltaic cells and modules[J]. IEEE journal of photovoltaics, 2014, 4(3): 915-923.
[10] ORIOLI A.An accurate one-diode model suited to represent the current-voltage characteristics of crystalline and thin-film photovoltaic modules[J]. Renewable energy, 2020, 145: 725-743.
[11] GARRE A, HUERTAS J P, GONZALEZ-TEJEDOR G A, et al. Mathematical quantification of the induced stress resistance of microbial populations during non-isothermal stresses[J]. International journal of food microbiology, 2018, 266: 133-141.
[12] MOURA S J, CHANG Y A.Lyapunov-based switched extremum seeking for photovoltaic power maximization[J]. Control engineering practice, 2013, 21(7): 971-980.
[13] WANG G, ZHAO K, SHI J T, et al.An iterative approach for modeling photovoltaic modules without implicit equations[J]. Applied energy, 2017, 202: 189-198.
[14] 翟涵, 谢华清, 吴子华, 等. 测量方式对太阳电池输出性能测试的影响[J]. 太阳能学报, 2021, 42(1): 36-42.
ZHAI H,XIE H Q,WU Z H, et al.Influenec of measurement methods on photovoltaic parameters of solar cells[J]. Acta energiae solaris sinica, 2021, 42(1): 36-42.
[15] RATKOWKSY D A.Handbook of nonlinear regression models[M]. New York: Marcel Dekker, Inc., 1990.

基金

国家自然科学基金(61705091); 嘉兴市公益研究计划(2020AY10006)

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