标题： 基于差分进化优化算法的薄膜等离子体太阳能电池的最优设计 显示英文标题

标题： Optimal Design of Thin-film Plasmonic Solar Cells using Differential Evolution Optimization Algorithms

摘要： 一种使用差分进化（DE）优化算法的方法被提出，以优化设计参数，从而提高等离子体太阳能电池（PSC）的光学吸收效率。 该方法基于将参数提取建模为搜索和优化过程，以最大化PSC中的光学吸收。 确定三维（3-D）PSC的物理参数对于设计和评估其性能至关重要，然而，由于PSC的复杂设计，参数提取既耗时又计算量大。 在本文中，该技术被用于商业薄膜氢化非晶硅（a-Si:H）太阳能光伏电池的情况，这些电池通过图案化银纳米圆盘等离子体结构增强。 对PSC结构进行了DE优化，以执行实时参数搜索和优化。 发现对于AM-1.5太阳光谱，在PSC活性层中的光学吸收预测光学增强（OE）比参考电池高超过19.45%。 所提出的技术提供了更高的准确性，并以时间高效的方式自动化了PSC控制参数的调整。 显示英文摘要

摘要： An approach using a differential evolution (DE) optimization algorithm is proposed to optimize design parameters for improving the optical absorption efficiency of plasmonic solar cells (PSC). This approach is based on formulating the parameters extraction as a search and optimization process in order to maximize the optical absorption in the PSC. Determining the physical parameters of three-dimensional (3-D) PSC is critical for designing and estimating their performance, however, due to the complex design of the PSC, parameters extraction is time and calculation intensive. In this paper, this technique is demonstrated for the case of commercial thin-film hydrogenated amorphous silicon (a-Si:H) solar photovoltaic cells enhanced through patterned silver nano-disk plasmonic structures. The DE optimization of PSC structures was performed to execute a real-time parameter search and optimization. The predicted optical enhancement (OE) in optical absorption in the active layer of the PSC for AM-1.5 solar spectrum was found to be over 19.45% higher compared to the reference cells. The proposed technique offers higher accuracy and automates the tuning of control parameters of PSC in a time-efficient manner.