空间用高效倒置结构三结砷化镓薄膜太阳电池本构参数研究

高红鑫; 赵寿根; 朱佳林; 余亦豪; 刘欣

doi:10.13700/j.bh.1001-5965.2023.0651

空间用高效倒置结构三结砷化镓薄膜太阳电池本构参数研究

doi: 10.13700/j.bh.1001-5965.2023.0651

1.
北京航空航天大学航空科学与工程学院强度与结构完整性全国重点实验室，北京 100191
2.
中电科蓝天科技股份有限公司，天津 300392

详细信息

通讯作者:
E-mail：zshougen@buaa.edu.cn

中图分类号: TP18；O34
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出版历程
- 收稿日期: 2023-10-11
- 录用日期: 2023-11-16
- 网络出版日期: 2023-12-21
- 整期出版日期: 2025-12-31

Research on constitutive parameters of high-efficiency inverted metamorphic GaAs triple junction solar cell for space applications

1.
National Key Laboratory of Strength and Structural Integrity，School of Aeronautic Science and Engineering，Beihang University，Beijing 100191，China
2.
China Electronics Technology Blue Sky Technology Co.，Ltd.，Tianjin，300392，China

More Information

Corresponding author: E-mail：zshougen@buaa.edu.cn

摘要

摘要:
倒置结构三结砷化镓薄膜（IMM）太阳电池由于很好地解决了多结电池带隙不匹配的问题，因此获得更高的光电转换效率，为下一代空间用太阳电池提供了一种选择。IMM太阳电池具有塑性材料的力学特性，区别于传统三结砷化镓薄膜电池的脆性材料特性，所以IMM太阳电池本构模型的准确性是仿真其抗力学环境影响的关键因素。所提方法利用Voce本构模型对IMM太阳电池进行拉伸试验模拟，并在ANSYS-OptiSLang联合仿真平台上采用非线性二次规划算法优化本构模型参数。通过将数值模拟结果与实际试验数据进行比对，并将其差异作为目标函数进行最小化，成功获得了与试验测试结果非常接近的应力-应变曲线。结果表明：所提方法建立的IMM太阳电池本构模型可在后续其他力学仿真分析中使用。
- 倒置结构三结砷化镓太阳电池 /
- Voce本构模型 /
- ANSYS-OptiSLang联合仿真 /
- 本构反演优化 /
- 非线性二次规划算法
Abstract:
Another option for the next generation of solar cells for space applications is the inverted metamorphic (IMM) GaAs triple junction solar cell, which has a greater photoelectric conversion efficiency since it significantly addresses the current issue of subcell mismatch. IMM solar cells have the mechanical properties of ductile materials, which are different from the brittle materials properties of conventional GaAs triple junction solar cells; therefore, the accuracy of the constitutive model of IMM solar cells is a key factor in simulating its resistance to the mechanical environment. In this paper, the Voce constitutive model is used to simulate the tensile experimental process of IMM solar cells. On the basis of the ANSYS-OptiSlang co-simulation platform, the NLPQL optimization algorithm is used, and the tensile experimental validation is combined to form the objective function with the difference between the numerical simulation and experimental data. Then, the objective function is minimized to acquire the parameters of the constitutive model. The results indicate that the stress-strain curves calculated by the inverse optimization method are very similar to the experimental results. The ensuing mechanical simulation analysis can make use of the IMM solar cell constitutive model that was created using this technique.

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图 1 Voce本构模型

Figure 1. Voce constitutive model

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图 2 $ \mathrm{I}\mathrm{M}\mathrm{M} $三结太阳电池

Figure 2. IMM triple-junction solar cells

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图 3 $ \mathrm{I}\mathrm{M}\mathrm{M} $三结太阳电池的拉伸试样

Figure 3. Tensile sample of IMM triple-junction solar cells

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图 4 MD和TD应力-应变曲线

Figure 4. Strain-stress curves of MD and TD

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图 5 实验过程和试样典型断裂

Figure 5. Diagram of the experimental process and typical fracture diagram of the specimen

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图 6 材料参数反演优化流程

Figure 6. Material Parameter inversion excellent flow chart

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图 7 ANSYS Workbench联合仿真平台

Figure 7. ANSYS Workbench co-simulation platform

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图 8 拉伸试验Mechanical模型

Figure 8. Tensile test Mechanical model

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图 9 DoE应力-应变曲线

Figure 9. Stress-Strain curve calculate by DoE

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图 10 CoP预测质量

Figure 10. CoP prediction quality

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图 11 目标函数响应面（CoP>99%）

Figure 11. Response surface for objective function

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图 12 NLPQL优化历史过程

Figure 12. historical process of NLPQL optimization

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图 13 实验测试与仿真模拟应力-应变曲线对比

Figure 13. Experimental and simulated stress-strain curves

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表 1 输入参数的设计空间

Table 1. Input Parameter Design Space

参数值	弹性模量/ GPa	屈服应力/ MPa	线性系数	指数系数	饱和应力/ MPa
初始值	106	158	0	58	878
参数值范围	80～130	120～180	0～100	40～70	700～1 100

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表 2 最佳设计点参数与初始参数对比

Table 2. Comparison of best design point parameters with initial parameters

参数值	弹性模量/ GPa	屈服应力/ MPa	线性系数	指数系数	饱和应力/ MPa	$\sqrt{\displaystyle\sum _{i=1}^{150}{({y}_{i}^{*}-{y}_{i})}^{2}} $
初始值	106	158	0	58	878	627.5
最佳值	124.14	150.98	8.68	70	1 100	276.6

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