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
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.