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Laminated solar cell structure optimization method

A technology of solar cells and optimization methods, applied in neural learning methods, design optimization/simulation, circuits, etc., can solve the problems of easy structure falling into local optimum, low optimization efficiency, and long optimization cycle, so as to save simulation time and calculation resources, efficiency improvement, and universal applicability

Pending Publication Date: 2020-09-04
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a method for optimizing the structure of stacked solar cells, which is used to solve the technical problems of low optimization efficiency due to the long optimization period and the structure easily falling into local optimum in the existing stacked solar cell structure optimization methods

Method used

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  • Laminated solar cell structure optimization method
  • Laminated solar cell structure optimization method
  • Laminated solar cell structure optimization method

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Embodiment 1

[0033] A method for optimizing the structure of stacked solar cells, such as figure 1 shown, including:

[0034] Taking the structural information of the stacked solar cell to be optimized as the population information of the differential evolution algorithm, and the battery performance index as the optimization target of the differential evolution algorithm, and initializing the structural information;

[0035] Controlling the differential evolution algorithm to perform multiple iterative evolutions on the initial structure information by adaptively adjusting the scaling factor and crossover probability required for each iteration, each iterative evolution is to jointly adjust the structure of each layer in the stacked solar cell Obtain a new population, and use the pre-built battery performance prediction neural network to predict the battery performance index according to the new population, and finally obtain the optimal battery performance index and its corresponding stru...

Embodiment 2

[0062] A machine-readable storage medium, the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the above A method for optimizing the structure of a laminated solar cell described in Embodiment 1.

[0063] The relevant technical solutions are the same as those in Embodiment 1, and will not be repeated here.

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Abstract

The invention belongs to the field of battery design, and particularly relates to a laminated solar battery structure optimization method, which comprises the steps of taking structure information ofa to-be-optimized laminated solar battery as population information of a differential evolution algorithm, taking a battery performance index as an optimization target of the differential evolution algorithm, and initializing the structure information; controlling a differential evolution algorithm to perform iterative evolution on the initial structure information for multiple times by adaptivelyadjusting a scaling factor and a crossover probability required by each iteration, wherein each iterative evolution is to jointly adjust each layer of structure in the laminated solar cell to obtaina new population and predict a cell performance index according to the new population by adopting a pre-constructed cell performance prediction neural network, and finally optimal structure information is obtained. According to the self-adaptive differential evolution algorithm, the structures of all layers can be jointly adjusted, the problem of local optimization is avoided, the differential evolution algorithm is combined with the battery performance prediction neural network, the battery structure can be designed in a high-efficiency and time-saving self-adaptive reverse optimization mode,and the optimization efficiency is improved.

Description

technical field [0001] The invention belongs to the field of battery design, and more specifically relates to a method for optimizing the structure of a stacked solar battery. Background technique [0002] There are various types of solar cells, among which the solar cell with a stacked structure is a relatively common type of solar cell at present, and its photoelectric conversion efficiency is relatively high. How to efficiently design its stacked structure has always attracted attention. [0003] The efficiency of a tandem solar cell depends on its structure, such as the thickness and materials used for each layer, the stacking method between layers, and the shape of each layer will affect the efficiency of a tandem solar cell. When each After the materials for layer preparation are determined, the efficiency directly depends on the structure of the stacked solar cell. Therefore, in the traditional stacked solar cell structure design scheme, the design is mainly carried...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08H01L31/043H01L31/05
CPCG06F30/27G06N3/08H01L31/043H01L31/0504G06N3/045Y02E10/50
Inventor 高雅玙易楚翘杜庆国
Owner HUAZHONG UNIV OF SCI & TECH
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