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Improved Mathematical Model of Photovoltaic Cells and Application Simulation Research

Published: 14 March 2022 Publication History

Abstract

For solving the problem of low precision of photovoltaic cell engineering mathematical model, the paper introduced the working principle of photovoltaic cell, on the basis of studying it's the equivalent circuit model and theoretical mathematical model, proposing a simplified model, deriving an approximate algorithm of the series resistance Rs and reverse saturated current I0 of the equivalent diode under general working conditions, and combining with engineering mathematical model, according to the factory technical parameters of photovoltaic cell, studying the functional relationship between the irradiance S and the broken voltage Uoc and the maximum power operating voltage Um on the ideal diode model, proposing the improved calculation method of simplifying model parameters under different working conditions, and establishing the improved engineering model. Using MATLAB, the improved engineering mathematical model and engineering mathematical model are used to simulate and compare the photovoltaic cells produced by actual manufacturers. The simulation results shown that the relative error of the improved engineering mathematical model is reduced, the fitting accuracy of the model is effectively improved, and it can more accurately describe the output features of photovoltaic cells.

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2022

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  • the Yunnan Local Colleges Applied Basic Research Projects (No.2018FH001-055)

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AIAM2021

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Overall Acceptance Rate 100 of 285 submissions, 35%

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