The pattern of the front electrode and the solar cell size has a significant influence on the performance of solar cells. In order to improve the conversion efficiency of solar cells, we present a combined finite-element-genetic algorithm (GA) method for designing the front electrode and solar cell size. In the proposed method, a solar cell is considered to consist of many small unit cells, and these unit cells can well describe the current density and voltage distribution of the solar cell. In the GA, each individual represents a solar cell with a particular size and operates at a particular voltage. The validity of the proposed method is tested on the front electrode and solar cell size design problem of the side-contact and gridded cells. Two existing optimization methods are also used to optimize the front electrode and solar cell size of the two kinds of solar cells. Based on solar cells of different sizes, different optimization results are obtained using either of the two existing optimization methods. The unique optimization result can be obtained using the proposed method, and the optimization result is better than that obtained using the two existing optimization methods.

中文翻译：

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使用组合有限元遗传算法方法优化前电极和太阳能电池的尺寸

前电极的图案和太阳能电池的尺寸对太阳能电池的性能有显着影响。为了提高太阳能电池的转换效率，我们提出了一种结合有限元遗传算法（GA）的方法来设计前电极和太阳能电池的尺寸。在所提出的方法中，太阳能电池被认为是由许多小单元电池组成，这些单元电池可以很好地描述太阳能电池的电流密度和电压分布。在 GA 中，每个个体代表一个具有特定尺寸并在特定电压下工作的太阳能电池。在侧接触和网格电池的前电极和太阳能电池尺寸设计问题上测试了所提出方法的有效性。两种现有的优化方法也用于优化两种太阳能电池的正面电极和太阳能电池尺寸。基于不同尺寸的太阳能电池，使用现有的两种优化方法中的任何一种都会得到不同的优化结果。使用所提出的方法可以获得唯一的优化结果，并且优化结果优于使用现有的两种优化方法获得的优化结果。