Work

Characterization of light-intensity dependence of equivalent-circuit parameters in organic photovoltaic cells via Bayesian estimation

Year: 2026

Type: article

Abstract: Extracting equivalent circuit parameters from the current-voltage (I-V) characteristics of solar cells using Bayesian estimation enables the unique determination of the ideality factor n, a task that is difficult with the least-squares method. This study shows dependences of the five equivalent circuit parameters based on the 1-diode model of an organic solar cell on light intensity via Bayesian estimation. The dependence is found to be relatively smooth and monotonic for most parameters. The results revealed that the diode ideality factor n increases significantly as the illumination light intensity increases, although the underlying physical mechanisms remain unclear at this stage.

Source: Japanese Journal of Applied Physics

DOI: 10.35848/1347-4065/aeb94e

Author: Kazuya Tada

Institution: University of Hyogo

Language: English

Topic: Organic Electronics and Photovoltaics

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: bronze

Funders: Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science