A mini-review of artificial intelligence techniques for predicting the performance of supercapacitors

Gbolahan Joseph Adekoya; Oluwasegun Chijioke Adekoya; Ugonna Kingsley Ugo; Emmanuel Rotimi Sadiku; Yskandar Hamam; Suprakas Sinha Ray

doi:10.1016/j.matpr.2022.05.079

A mini-review of artificial intelligence techniques for predicting the performance of supercapacitors

Gbolahan Joseph Adekoya, Oluwasegun Chijioke Adekoya, Ugonna Kingsley Ugo, Emmanuel Rotimi Sadiku, Yskandar Hamam, Suprakas Sinha Ray

Chemical Sciences

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Supercapacitors are used to store and release electrical charges like batteries and conventional capacitors. Unlike conventional capacitors, they have higher capacitance and power density, and they charge faster than batteries can. Supercapacitors are mainly classified as hybrid supercapacitors, pseudocapacitors, and electrochemical double-layer capacitors. To predict the application behaviour and optimization of supercapacitors, artificial intelligence, specifically machine language is utilized more recently. Models based on artificial intelligence are less complicated and maybe accurate enough. This paper identifies machine language models that have been employed to predict the supercapacitors’ performance.

Original language	English
Pages (from-to)	S184-S188
Journal	Materials Today: Proceedings
Volume	62
DOIs	https://doi.org/10.1016/j.matpr.2022.05.079
Publication status	Published - Jan 2022

Keywords

ANN
Artificial intelligence
Linear regression
Machine learning
Supercapacitor

ASJC Scopus subject areas

General Materials Science

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10.1016/j.matpr.2022.05.079

Cite this

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abstract = "Supercapacitors are used to store and release electrical charges like batteries and conventional capacitors. Unlike conventional capacitors, they have higher capacitance and power density, and they charge faster than batteries can. Supercapacitors are mainly classified as hybrid supercapacitors, pseudocapacitors, and electrochemical double-layer capacitors. To predict the application behaviour and optimization of supercapacitors, artificial intelligence, specifically machine language is utilized more recently. Models based on artificial intelligence are less complicated and maybe accurate enough. This paper identifies machine language models that have been employed to predict the supercapacitors{\textquoteright} performance.",

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AB - Supercapacitors are used to store and release electrical charges like batteries and conventional capacitors. Unlike conventional capacitors, they have higher capacitance and power density, and they charge faster than batteries can. Supercapacitors are mainly classified as hybrid supercapacitors, pseudocapacitors, and electrochemical double-layer capacitors. To predict the application behaviour and optimization of supercapacitors, artificial intelligence, specifically machine language is utilized more recently. Models based on artificial intelligence are less complicated and maybe accurate enough. This paper identifies machine language models that have been employed to predict the supercapacitors’ performance.

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A mini-review of artificial intelligence techniques for predicting the performance of supercapacitors

Abstract

Keywords

ASJC Scopus subject areas

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