Algorithm for Extracting Characteristic Parameters of Radiation-Voltage Conversion Devices Based on Dark Characteristic Curve

Theoretical research on betavoltaic batteries require calculating characteristic parameters of the radiation-voltage conversion device,in order to predict the output characteristics under irradiation. Through the calculated output characteristics,important theoretical references for the design of betavoltaic batteries are provided. Our algorithm calculates the characteristic parameters of the radiation-voltage conversion device based on the tested dark current-voltage curve and evaluates the quality of the characteristic parameters by statistical methods. To prove the effectiveness of the algorithm,the current-voltage curves under irradiation were predicted,and compared with those obtained by exposing to a real radioactive source. Calculation results achieved good results in both curve fitting and output characteristic prediction of the radiation-voltage conversion device. The results show our algorithm can predict the output of betavoltaic battery through the dark current-voltage curve without irradiation and provide guidance for the design of batavoltaic batteries.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.7538/tws.2024.youxian.056
Primary Topic
Advanced Energy Technologies and Civil Engineering Innovations
Type
article
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article

Algorithm for Extracting Characteristic Parameters of Radiation-Voltage Conversion Devices Based on Dark Characteristic Curve

SHILAP Revista de lepidopterología
Advanced Energy Technologies and Civil Engineering Innovations
article

Algorithm for Extracting Characteristic Parameters of Radiation-Voltage Conversion Devices Based on Dark Characteristic Curve

article en

Abstract

Theoretical research on betavoltaic batteries require calculating characteristic parameters of the radiation-voltage conversion device,in order to predict the output characteristics under irradiation. Through the calculated output characteristics,important theoretical references for the design of betavoltaic batteries are provided. Our algorithm calculates the characteristic parameters of the radiation-voltage conversion device based on the tested dark current-voltage curve and evaluates the quality of the characteristic parameters by statistical methods. To prove the effectiveness of the algorithm,the current-voltage curves under irradiation were predicted,and compared with those obtained by exposing to a real radioactive source. Calculation results achieved good results in both curve fitting and output characteristic prediction of the radiation-voltage conversion device. The results show our algorithm can predict the output of betavoltaic battery through the dark current-voltage curve without irradiation and provide guidance for the design of batavoltaic batteries.

SHILAP Revista de lepidopterología
China Institute of Atomic Energy (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced Energy Technologies and Civil Engineering Innovations
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Algorithm for Extracting Characteristic Parameters of Radiation-Voltage Conversion Devices Based on Dark Characteristic Curve · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS